Michael Clare‐Salzler

13.1k citations
139 papers · 8.2k indexed · 1 hit paper · h-index 51
Topics
Diabetes and associated disorders (51 papers)Immune Cell Function and Interaction (35 papers)T-cell and B-cell Immunology (29 papers)
Partner nations
United StatesChinaJapan

In The Last Decade

Michael Clare‐Salzler

139 papers receiving 8.0k citations

Hit Papers

Spontaneous loss of T-cell tolerance to glutamic acid dec...19932026200420151993250500750

Peers

Michael Clare‐Salzler
Comparison fields: 5 of 142
  • Immunology 3.7k
  • Genetics 3.1k
  • Surgery 2.0k
  • Endocrinology, Diabetes and Metabolism 1.6k
  • Molecular Biology 1.3k
Replace Tilo Andus with:
Tilo Andus Germany
Michio Sata Japan
Arthur Kaser Austria
Daniël W. Hommes Netherlands
Joost C.M. Meijers Netherlands
Yoshihide Fujiyama Japan
C. B. H. W. Lamers Netherlands
Hal M. Hoffman United States
Wajahat Z. Mehal United States
Clive Wasserfall United States
Michael Clare‐Salzler relative to Tilo Andus Germany Tilo Andus's profile →
Citations per field
00.5×3.3×
Tilo Andus · 1×
Citations per year

Countries citing papers authored by Michael Clare‐Salzler

Since Specialization
Citations

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

Fields of papers citing papers by Michael Clare‐Salzler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Clare‐Salzler. 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 Michael Clare‐Salzler. The network helps show where Michael Clare‐Salzler may publish in the future.

Co-authorship network of co-authors of Michael Clare‐Salzler

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Clare‐Salzler. A scholar is included among the top collaborators of Michael Clare‐Salzler 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 Michael Clare‐Salzler. Michael Clare‐Salzler 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
1 105
2 19
3 59
4 137
5 25
6 2
7 8
8 7
9 14
10 49
11 7
12 3
13 212
14 21
15 89
16 107
17 29
18 49
19 29
20 48

About Michael Clare‐Salzler

Michael Clare‐Salzler is a scholar working on Immunology, Genetics and Endocrinology, Diabetes and Metabolism, having authored 139 papers that have together received 8.2k indexed citations. Recurring topics across this work include Diabetes and associated disorders (51 papers), Immune Cell Function and Interaction (35 papers) and T-cell and B-cell Immunology (29 papers). The work is most often cited by research in Immunology (3.7k citations), Genetics (3.1k citations) and Endocrinology, Diabetes and Metabolism (1.6k citations). Michael Clare‐Salzler has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Mark A. Atkinson, Lyle L. Moldawer, Allan J. Tobin, Daniel L. Kaufman, Clive Wasserfall, Thomas G. Forsthuber, Jide Tian, Chang‐Qing Xia, Benjamin G. Keselowsky and Todd M. Brusko. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and JAMA.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026