ArticleJournal of multidisciplinary healthcare2026
Publication Trends of Research on Immune Tolerance After Kidney Transplantation: A Bibliometric Analysis from 1976 to 2024.
Article in Journal of multidisciplinary healthcare, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: The field of immune tolerance after kidney transplantation has witnessed substantial growth in research over the decades. To systematically evaluate the trends and hotspots in this area, a bibliometric analysis was conducted spanning from 1976 to 2024. Methods: A bibliometric analysis was conducted using the Web of Science Core Collection database. VOSviewers, CiteSpace and the R package "bibliometrix" were used for visualization. Results: The analysis examined 1033 English articles, highlighting the involvement of 6608 authors from 3461 institutions across 53 countries/regions. The research showed a 4.14% annual growth in publications, peaking in 2016 and declining recently. The most cited article was "Marked prolongation of porcine renal xenograft survival in baboons through the use of alpha1,3-galactosyltransferase gene-knockout donors and the cotransplantation of vascularized thymic tissue (488 citations)" published in the Conclusion: This bibliometric analysis highlights the evolving trends and hotspots in research on immune tolerance after kidney transplantation. Future studies should continue to explore the integration of machine learning in understanding and predicting immune tolerance.
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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.