Kyle D. Copps
Impact in
- Aging top 5%
- Physiology top 2%
- Adipose Tissue and Metabolism
Papers in
-
- Metabolism, Diabetes, and Cancer 10
- FOXO transcription factor regulation 7
- Protein Kinase Regulation and GTPase Signaling 5
- PI3K/AKT/mTOR signaling in cancer 3
- Surgery 8
- Pancreatic function and diabetes 8
- Co-authors
- Morris F. White (21 shared papers)X. Charlie Dong (5 shared papers)Shaodong Guo (3 shared papers)Ramya Kollipara (2 shared papers)Ronald A. DePinho (2 shared papers)Zhiyong Cheng (3 shared papers)Yedan Li (2 shared papers)Wei Qiao Qiu (6 shared papers)
- Journals
- Nature Medicine (3 papers)Cell Metabolism (3 papers)Diabetologia (2 papers)Molecular and Cellular Biology (2 papers)Diabetes (2 papers)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Kyle D. Copps
25 papers receiving 2.9k citations
Kyle D. Copps's Hit Papers
Peers
Comparison fields: 5 of 108
- Aging 64
- Physiology 781
- Endocrinology, Diabetes and Metabolism 448
- Geriatrics and Gerontology 76
- Molecular Biology 1.6k
Countries citing papers authored by Kyle D. Copps
This map shows the geographic impact of Kyle D. Copps'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 Kyle D. Copps with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle D. Copps more than expected).
Fields of papers citing papers by Kyle D. Copps
This network shows the impact of papers produced by Kyle D. Copps. 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 Kyle D. Copps. The network helps show where Kyle D. Copps may publish in the future.
Co-authors
The 25 scholars most cited alongside Kyle D. Copps, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Regulation of insulin sensitivity by serine/threonine phosphorylation of insulin receptor substrate proteins IRS1 and IRS2 Hit paper breakdown → | 2012 | 798 |
| 2 | 2008 | 361 | |
| 3 | 2009 | 262 | |
| 4 | 2005 | 176 | |
| 5 | 2010 | 159 | |
| 6 | 2010 | 145 | |
| 7 | 2012 | 128 | |
| 8 | 1997 | 128 | |
| 9 | 2009 | 128 | |
| 10 | 2009 | 127 | |
| 11 | 2019 | 110 | |
| 12 | 1998 | 106 | |
| 13 | 2018 | 79 | |
| 14 | 2014 | 75 | |
| 15 | 2007 | 31 | |
| 16 | 2016 | 28 | |
| 17 | 2018 | 22 | |
| 18 | 2021 | 20 | |
| 19 | 2021 | 11 | |
| 20 | 2023 | 10 |
About Kyle D. Copps
Kyle D. Copps is a scholar working on Molecular Biology, Surgery, Physiology, Cell Biology and Epidemiology, having authored 25 papers that have together received 2.9k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (10 papers), Pancreatic function and diabetes (8 papers), FOXO transcription factor regulation (7 papers), Adipose Tissue and Metabolism (6 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Aging (64 citations), Physiology (781 citations), Endocrinology, Diabetes and Metabolism (448 citations), Geriatrics and Gerontology (76 citations) and Molecular Biology (1.6k citations). Kyle D. Copps has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Morris F. White, X. Charlie Dong, Shaodong Guo, Ramya Kollipara, Ronald A. DePinho, Zhiyong Cheng, Yedan Li, Wei Qiao Qiu, Mitzi I. Kuroda and Yun Chau Long. Their work appears in journals such as Nature Medicine, Cell Metabolism, Diabetologia, Molecular and Cellular Biology and Diabetes.
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.