Roland Tisch

10.2k citations
130 papers · 8.2k indexed · 2 hit papers · h-index 44

Roland Tisch

126 papers receiving 8.0k citations

Hit Papers

Insulin-Dependent Diabetes Mellitus9361993202620042015250500750

Peers

Roland Tisch
Comparison fields: 5 of 121
  • Immunology 5.0k
  • Genetics 4.1k
  • Endocrinology, Diabetes and Metabolism 1.6k
  • Surgery 2.3k
  • Immunology and Allergy 192
Replace Sally C. Kent with:
Sally C. Kent United States
Xiaodong Yang China
Janelle A. Noble United States
Richard J. Cornall United Kingdom
Eugen Koren United States
Merrill J. Rowley Australia
Hans‐Michael Dosch Canada
Brian T. Fife United States
William A. Rudert United States
Francesca Sanvito Italy
Roland Tisch relative to Sally C. Kent United States Sally C. Kent's profile →
Citations per field
00.5×1.5×2.4×
Sally C. Kent · 1×
Citations per year

Countries citing papers authored by Roland Tisch

Since Specialization
Citations

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

Fields of papers citing papers by Roland Tisch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roland Tisch. 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 Roland Tisch. The network helps show where Roland Tisch may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Roland Tisch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Roland Tisch Line = papers co-authored together Roland Tisch links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20212
2 20114
3 200927
4 200924
5 2008116
6 2007258
7 200733
8 200735
9 200633
10 200643
11 200359
12 200321
13 200220
14 2002131
15 2001106
16 200145
17 200150
18 200188
19
Dissecting T cell responses to cartilage antigens in HLA class II transgenic mice.
19981
20
Immune response to glutamic acid decarboxylase correlates with insulitis in non-obese diabetic micebreakdown →
1993794

About Roland Tisch

Roland Tisch is a scholar working on Immunology, Genetics and Immunology and Allergy, having authored 130 papers that have together received 8.2k indexed citations. Recurring topics across this work include Diabetes and associated disorders (73 papers), Immune Cell Function and Interaction (62 papers), T-cell and B-cell Immunology (48 papers), Pancreatic function and diabetes (41 papers), Diabetes Management and Research (23 papers), Immunotherapy and Immune Responses (20 papers), Monoclonal and Polyclonal Antibodies Research (11 papers) and Cell Adhesion Molecules Research (9 papers). The work is most often cited by research in Immunology (5.0k citations), Genetics (4.1k citations) and Endocrinology, Diabetes and Metabolism (1.6k citations). Roland Tisch has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Hugh O. McDevitt, Xiaodong Yang, Roland Liblau, Steven M. Singer, Bo Wang, David Serreze, Lars Fugger, Pradip Sen, Mark A. Wallet and Carmen P. Wong. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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