Jane H. Buckner

17.4k total citations · 5 hit papers
188 papers, 11.8k citations indexed

About

Jane H. Buckner is a scholar working on Immunology, Rheumatology and Genetics. According to data from OpenAlex, Jane H. Buckner has authored 188 papers receiving a total of 11.8k indexed citations (citations by other indexed papers that have themselves been cited), including 129 papers in Immunology, 53 papers in Rheumatology and 51 papers in Genetics. Recurrent topics in Jane H. Buckner's work include T-cell and B-cell Immunology (78 papers), Immune Cell Function and Interaction (72 papers) and Diabetes and associated disorders (48 papers). Jane H. Buckner is often cited by papers focused on T-cell and B-cell Immunology (78 papers), Immune Cell Function and Interaction (72 papers) and Diabetes and associated disorders (48 papers). Jane H. Buckner collaborates with scholars based in United States, Sweden and United Kingdom. Jane H. Buckner's co-authors include Steven F. Ziegler, S. Alice Long, Mindi Walker, Mary Rieck, Gerald T. Nepom, Carla J. Greenbaum, Vivian H. Gersuk, Angèle Bénard, Deborah J. Kasprowicz and Jeffrey A. Bluestone and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Jane H. Buckner

183 papers receiving 11.6k citations

Hit Papers

Induction of FoxP3 and acquisition of T regulatory activi... 2003 2026 2010 2018 2003 2015 2010 2018 2021 250 500 750 1000

Peers

Jane H. Buckner
Comparison fields: 5 of 137
  • Immunology 7.2k
  • Genetics 2.8k
  • Rheumatology 2.2k
  • Molecular Biology 2.0k
  • Oncology 1.4k
Replace Roland Jonsson with:
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Ricardo Pujol‐Borrell Spain
Pierre Youinou France
Chaim O. Jacob United States
Qizhi Tang United States
David J. Rawlings United States
Cees van Kooten Netherlands
Toshimitsu Uede Japan
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Roland Jonsson Norway View profile →
Citations per field, relative to Jane H. Buckner
Jane H. Buckner · 1×
Citations per year, relative to Jane H. Buckner
Jane H. Buckner · 1×

Countries citing papers authored by Jane H. Buckner

Since Specialization
Citations

This map shows the geographic impact of Jane H. Buckner's research. 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 Jane H. Buckner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane H. Buckner more than expected).

Fields of papers citing papers by Jane H. Buckner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jane H. Buckner. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jane H. Buckner. The network helps show where Jane H. Buckner may publish in the future.

Co-authorship network of co-authors of Jane H. Buckner

This figure shows the co-authorship network connecting the top 25 collaborators of Jane H. Buckner. A scholar is included among the top collaborators of Jane H. Buckner based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jane H. Buckner. Jane H. Buckner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 5
3 9
4 16
5 3
6 27
7 54
8 16
9 101
10 70
11 4
12 22
13 37
14 21
15 6
16 34
17 239
18 19
19 130
20
Induction of FoxP3 and acquisition of T regulatory activity by stimulated human CD4+CD25– T cells breakdown →
1007

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.

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