ArticleEuropean journal of medical research2023
Worldwide productivity and research trend of publications concerning tumor immune microenvironment (TIME): a bibliometric study.
Article in European journal of medical research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Bibliometric-driven research on chemoresistance in breast cancer: knowledge mapping, hotspot evolution, and emerging insights (1994-2024).Discover oncology · 2025Article
- CRHBP, a novel multiple cancer biomarker connected with better prognosis and anti-tumorigenicity.Cancer cell international · 2024Article
- Role of extracellular vesicle-associated proteins in the progression, diagnosis, and treatment of hepatocellular carcinoma.Cell & bioscience · 2024Review
- Research trends and hotspots in the immune microenvironment related to hepatocellular carcinoma: A bibliometric and visualization study.World journal of gastrointestinal oncology · 2024Article
- Role of SYT11 in human pan-cancer using comprehensive approaches.European journal of medical research · 2024Article
- Mapping knowledge structure and themes trends of cancer-associated fibroblasts: a text-mining study.Frontiers in molecular biosciences · 2023Article
- Global research trends and prospects related to tumor microenvironment within Triple Negative Breast Cancer: a bibliometric analysis.Frontiers in immunology · 2023Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
backgroundAs the complexity and diversity of the tumor immune microenvironment (TIME) are becoming better understood, burgeoning research has progressed in this field. However, there is a scarcity of literature specifically focused on the bibliometric analysis of this topic. This study sought to investigate the development pattern of TIME-related research from 2006 to September 14, 2022, from a bibliometric perspective.
methodsWe acquired both articles and reviews related to TIME from the Web of Science Core Collection (WoSCC) (retrieved on September 14, 2022). R package "Bibliometrix" was used to calculate the basic bibliometric features, present the collaborative conditions of countries and authors, and generate a three-field plot to show the relationships among authors, affiliations, and keywords. VOSviewer was utilized for co-authorship analysis of country and institution and keyword co-occurrence analysis. CiteSpace was used for citation burst analysis of keywords and cited references. In addition, Microsoft Office Excel 2019 was used to develop an exponential model to fit the cumulative publication numbers.
resultsA total of 2545 publications on TIME were included, and the annual publication trend exhibited a significant increase over time. China and Fudan University were the most productive country and institution, with the highest number of publications of 1495 and 396, respectively. Frontiers in Oncology held the highest number of publications. A number of authors were recognized as the main contributors in this field. The clustering analysis revealed six clusters of keywords that highlighted the research hot spots in the fields of basic medical research, immunotherapy, and various cancer types separately.
conclusionsThis research analyzed 16 years of TIME-related research and sketched out a basic knowledge framework that includes publications, countries, journals, authors, institutions, and keywords. The finding revealed that the current research hot spots of the TIME domain lie in "TIME and cancer prognosis", "cancer immunotherapy", and "immune checkpoint". Our researchers identified the following areas: "immune checkpoint-based immunotherapy", "precise immunotherapy" and "immunocyte pattern", which may emerge as frontiers and focal points in the upcoming years, offering valuable avenues for further exploration.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.