Cell interactions in the induction of tolerance: the role of thymic lymphocytes.

671 indexed citations
published 1970
Journal
PubMed

In The Last Decade

doi.org/w77664230 →

Countries where authors are citing Cell interactions in the induction of tolerance: the role of thymic lymphocytes.

Specialization
Citations

This map shows the geographic impact of Cell interactions in the induction of tolerance: the role of thymic lymphocytes.. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Cell interactions in the induction of tolerance: the role of thymic lymphocytes. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cell interactions in the induction of tolerance: the role of thymic lymphocytes. more than expected).

Fields of papers citing Cell interactions in the induction of tolerance: the role of thymic lymphocytes.

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Cell interactions in the induction of tolerance: the role of thymic lymphocytes.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Cell interactions in the induction of tolerance: the role of thymic lymphocytes..

About Cell interactions in the induction of tolerance: the role of thymic lymphocytes.

This paper, published in 1970, received 671 indexed citations . Written by Richard K. Gershon and Kazunari Kondo covering the research area of Complementary and alternative medicine. It is primarily cited by scholars working on Immunology (574 citations), Oncology (104 citations) and Genetics (50 citations). Published in PubMed.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

This paper is also available at doi.org/w77664230.

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