Clayton E. Mathews
Impact in
-
- Diabetes Management and Research
- Genetics top 0.5%
- Diabetes and associated disorders
Papers in
- Co-authors
- Edward H. Leiter (16 shared papers)Jing Chen (23 shared papers)Mark A. Atkinson (35 shared papers)Terri C. Thayer (7 shared papers)Aaron M. Gusdon (12 shared papers)Todd M. Brusko (21 shared papers)Mark A. Wallet (8 shared papers)Martha Campbell‐Thompson (9 shared papers)
- Journals
- Diabetes (23 papers)The Journal of Immunology (10 papers)Diabetologia (7 papers)Frontiers in Endocrinology (7 papers)Frontiers in Immunology (6 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Clayton E. Mathews
141 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Endocrinology, Diabetes and Metabolism 1.3k
- Genetics 2.1k
- Immunology 1.6k
- Surgery 1.9k
- Clinical Biochemistry 196
Countries citing papers authored by Clayton E. Mathews
This map shows the geographic impact of Clayton E. Mathews'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 Clayton E. Mathews with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clayton E. Mathews more than expected).
Fields of papers citing papers by Clayton E. Mathews
This network shows the impact of papers produced by Clayton E. Mathews. 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 Clayton E. Mathews. The network helps show where Clayton E. Mathews may publish in the future.
Co-authors
The 25 scholars most cited alongside Clayton E. Mathews, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 145 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Nanodroplet processing platform for deep and quantitative proteome profiling of 10–100 mammalian cells Hit paper breakdown → | 2018 | 417 |
| 2 | 2016 | 221 | |
| 3 | 2006 | 174 | |
| 4 | 2016 | 162 | |
| 5 | 2016 | 141 | |
| 6 | 2014 | 129 | |
| 7 | 2010 | 123 | |
| 8 | 2010 | 119 | |
| 9 | 2008 | 116 | |
| 10 | 1997 | 114 | |
| 11 | 2011 | 106 | |
| 12 | 2006 | 100 | |
| 13 | 2018 | 93 | |
| 14 | 2017 | 88 | |
| 15 | 2016 | 82 | |
| 16 | 2019 | 81 | |
| 17 | 2018 | 80 | |
| 18 | 2011 | 80 | |
| 19 | 2002 | 72 | |
| 20 | 1999 | 65 |
About Clayton E. Mathews
Clayton E. Mathews is a scholar working on Genetics, Surgery, Endocrinology, Diabetes and Metabolism, Immunology and Molecular Biology, having authored 145 papers that have together received 5.2k indexed citations. Recurring topics across this work include Diabetes and associated disorders (80 papers), Pancreatic function and diabetes (72 papers), Diabetes Management and Research (43 papers), Immune Cell Function and Interaction (23 papers), Mitochondrial Function and Pathology (17 papers), Adipose Tissue and Metabolism (16 papers), T-cell and B-cell Immunology (15 papers) and Immune Response and Inflammation (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.3k citations), Genetics (2.1k citations), Immunology (1.6k citations), Surgery (1.9k citations) and Clinical Biochemistry (196 citations). Clayton E. Mathews has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Edward H. Leiter, Jing Chen, Mark A. Atkinson, Terri C. Thayer, Aaron M. Gusdon, Todd M. Brusko, Mark A. Wallet, Martha Campbell‐Thompson, Brittney N. Newby and Aaron W. Michels. Their work appears in journals such as Diabetes, The Journal of Immunology, Diabetologia, Frontiers in Endocrinology and Frontiers in Immunology.
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.