Clayton E. Mathews
Impact in
- Genetics top 0.5%
- Diabetes and associated disorders
-
- Diabetes Management and Research
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)Frontiers in Endocrinology (7 papers)Diabetologia (7 papers)Frontiers in Immunology (6 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Clayton E. Mathews
141 papers receiving 5.3k citations
Clayton E. Mathews's Hit Papers
Peers
Comparison fields: 5 of 123
- Genetics 2.0k
- Endocrinology, Diabetes and Metabolism 1.1k
- Immunology 1.4k
- Surgery 1.7k
- Spectroscopy 410
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 | 433 |
| 2 | 2016 | 228 | |
| 3 | 2006 | 176 | |
| 4 | 2016 | 169 | |
| 5 | 2016 | 144 | |
| 6 | 2014 | 132 | |
| 7 | 2010 | 123 | |
| 8 | 2010 | 120 | |
| 9 | 2008 | 118 | |
| 10 | 1997 | 114 | |
| 11 | 2011 | 107 | |
| 12 | 2006 | 100 | |
| 13 | 2018 | 96 | |
| 14 | 2017 | 92 | |
| 15 | 2016 | 87 | |
| 16 | 2019 | 84 | |
| 17 | 2018 | 81 | |
| 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 5.4k indexed citations. Recurring topics across this work include Diabetes and associated disorders (75 papers), Pancreatic function and diabetes (62 papers), Diabetes Management and Research (35 papers), Immune Cell Function and Interaction (21 papers), Adipose Tissue and Metabolism (15 papers), Mitochondrial Function and Pathology (15 papers), T-cell and B-cell Immunology (14 papers) and Diet, Metabolism, and Disease (7 papers). The work is most often cited by research in Genetics (2.0k citations), Endocrinology, Diabetes and Metabolism (1.1k citations), Immunology (1.4k citations), Surgery (1.7k citations) and Spectroscopy (410 citations). Clayton E. Mathews has collaborated with scholars based in United States, United Kingdom and China. 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, Aaron W. Michels and Brittney N. Newby. Their work appears in journals such as Diabetes, The Journal of Immunology, Frontiers in Endocrinology, Diabetologia 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.