Roland Tisch

10.2k citations
130 papers · 8.2k indexed · 2 hit papers · h-index 44
Topics
Diabetes and associated disorders (73 papers)Immune Cell Function and Interaction (62 papers)T-cell and B-cell Immunology (48 papers)

In The Last Decade

Roland Tisch

126 papers receiving 8.0k citations

Hit Papers

Insulin-Dependent Diabetes Mellitus199320262004201519961993250500750

Peers

Roland Tisch
Comparison fields: 5 of 121
  • Immunology 5.0k
  • Genetics 4.1k
  • Surgery 2.3k
  • Endocrinology, Diabetes and Metabolism 1.6k
  • Molecular Biology 1.2k
Replace Sally C. Kent with:
Sally C. Kent United States
Xiaodong Yang China
Janelle A. Noble United States
Richard J. Cornall United Kingdom
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Brian T. Fife United States
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Roland Tisch relative to Sally C. Kent United States Sally C. Kent's profile →
Citations per field
00.5×1.5×2.3×
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 of co-authors of Roland Tisch

This figure shows the co-authorship network connecting the top 25 collaborators of Roland Tisch. A scholar is included among the top collaborators of Roland Tisch 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 Roland Tisch. Roland Tisch 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
#WorkIndexed citations
1 2
2 4
3 27
4 24
5 116
6 258
7 33
8 35
9 33
10 43
11 59
12 21
13 20
14 131
15 106
16 45
17 50
18 88
19
Dissecting T cell responses to cartilage antigens in HLA class II transgenic mice.
1
20
Immune response to glutamic acid decarboxylase correlates with insulitis in non-obese diabetic micebreakdown →
794

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) and T-cell and B-cell Immunology (48 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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