A bibliometric and visualized in myeloid-derived suppressor cells and cancer research from 2014 to 2024

A bibliometric and visualized in myeloid-derived suppressor cells and cancer research from 2014 to 2024 | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article A bibliometric and visualized in myeloid-derived suppressor cells and cancer research from 2014 to 2024 Ran Yu, Mengqi Cheng, Zhonghao Li, Qianhui Sun, Jia Li, Cihui Chen, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8067659/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Background Myeloid-derived suppressor cells (MDSCs) are heterogeneous immature myeloid cells linked to poor cancer prognosis, driving tumor metastasis, drug resistance, angiogenesis, and immunosuppression. While MDSC-targeted therapies advanced recently, bibliometric analysis of this field remains unexplored. This study maps research hotspots in MDSCs and tumors via bibliometrics. Methods Publications were collected of MDSCs and tumor from 2014 to 2024 by the Web of Science Core Collection database. Analyses employed Microsoft Excel, VOSviewer, CiteSpace, and R’s “bibliometrix”. Results A total of 5,653 papers from 89 countries were included in the study, with an annual increase in publications observed over time. China (36.18%) and the United States (34.72%) have the highest proportion of publications. The United States also has the highest citation frequency (111,926 times), H-index (154) and total link strength (1133). The three primary research institutions are as follows: Yat-sen University, Shanghai Jiao Tong University and Fudan University. The University of Texas M. D. Anderson Cancer Center has been identified as the institution with the highest contribution of citations and average citation. Notably, four of the top ten published authors are from China. Umansky, Viktor, has been identified as the most prolific author, while Dmitry I. Gabrilovich had the highest impact (H-index/citations). Frontiers in Immunology published the most articles and the highest co-cited journal was Cancer Research . Keyword analysis identified emerging hotspots: expression , tumor microenvironment , and immunotherapy . Conclusions This first comprehensive bibliometric review delineates the MDSC-tumor research landscape, highlighting MDSC detection and MDSC-targeted immunotherapies as pivotal strategies for clinical translation. myeloid-derived suppressor cells tumor expression tumor microenvironment immunotherapy clinical transformation visualization bibliometric analysis Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-8067659","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":562126796,"identity":"df52145b-c392-43a3-b4ba-a3b74474dcfb","order_by":0,"name":"Ran Yu","email":"","orcid":"","institution":"Senior Department of Traditional Chinese Medicine, Chinese PLA Hospital","correspondingAuthor":false,"prefix":"","firstName":"Ran","middleName":"","lastName":"Yu","suffix":""},{"id":562126803,"identity":"a917fd8c-21e7-409e-9c1c-17e25fbed4bd","order_by":1,"name":"Mengqi Cheng","email":"","orcid":"","institution":"Department of Oncology, The First 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2024","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"myeloid-derived suppressor cells, tumor, expression, tumor microenvironment, immunotherapy, clinical transformation, visualization, bibliometric analysis","lastPublishedDoi":"10.21203/rs.3.rs-8067659/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8067659/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eBackground\u003c/h2\u003e \u003cp\u003eMyeloid-derived suppressor cells (MDSCs) are heterogeneous immature myeloid cells linked to poor cancer prognosis, driving tumor metastasis, drug resistance, angiogenesis, and immunosuppression. While MDSC-targeted therapies advanced recently, bibliometric analysis of this field remains unexplored. This study maps research hotspots in MDSCs and tumors via bibliometrics.\u003c/p\u003e\u003ch2\u003eMethods\u003c/h2\u003e \u003cp\u003ePublications were collected of MDSCs and tumor from 2014 to 2024 by the Web of Science Core Collection database. Analyses employed Microsoft Excel, VOSviewer, CiteSpace, and R\u0026rsquo;s \u0026ldquo;bibliometrix\u0026rdquo;.\u003c/p\u003e\u003ch2\u003eResults\u003c/h2\u003e \u003cp\u003eA total of 5,653 papers from 89 countries were included in the study, with an annual increase in publications observed over time. China (36.18%) and the United States (34.72%) have the highest proportion of publications. The United States also has the highest citation frequency (111,926 times), H-index (154) and total link strength (1133). The three primary research institutions are as follows: Yat-sen University, Shanghai Jiao Tong University and Fudan University. The University of Texas M. D. Anderson Cancer Center has been identified as the institution with the highest contribution of citations and average citation. Notably, four of the top ten published authors are from China. Umansky, Viktor, has been identified as the most prolific author, while Dmitry I. Gabrilovich had the highest impact (H-index/citations). \u003cem\u003eFrontiers in Immunology\u003c/em\u003e published the most articles and the highest co-cited journal was \u003cem\u003eCancer Research\u003c/em\u003e. Keyword analysis identified emerging hotspots: \u003cem\u003eexpression\u003c/em\u003e, \u003cem\u003etumor microenvironment\u003c/em\u003e, and \u003cem\u003eimmunotherapy\u003c/em\u003e.\u003c/p\u003e\u003ch2\u003eConclusions\u003c/h2\u003e \u003cp\u003eThis first comprehensive bibliometric review delineates the MDSC-tumor research landscape, highlighting MDSC detection and MDSC-targeted immunotherapies as pivotal strategies for clinical translation.\u003c/p\u003e","manuscriptTitle":"A bibliometric and visualized in myeloid-derived suppressor cells and cancer research from 2014 to 2024","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-12-19 17:14:56","doi":"10.21203/rs.3.rs-8067659/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"d7a36bab-58ce-4b61-a199-3bfece53e0cc","owner":[],"postedDate":"December 19th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2026-03-11T15:10:53+00:00","versionOfRecord":[],"versionCreatedAt":"2025-12-19 17:14:56","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-8067659","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-8067659","identity":"rs-8067659","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}