Morris F. White
- Endocrinology, Diabetes and Metabolism top 0.02%
- Growth Hormone and Insulin-like Growth Factors 32
- Aging top 0.1%
- Molecular Biology top 0.02%
- Metabolism, Diabetes, and Cancer 163
- Protein Kinase Regulation and GTPase Signaling 101
- PI3K/AKT/mTOR signaling in cancer 33
- FOXO transcription factor regulation 29
- Physiology top 0.05%
- Adipose Tissue and Metabolism 41
- Endocrine and Autonomic Systems top 0.1%
-
- Pancreatic function and diabetes 126
-
- Diabetes and associated disorders 24
- Co-authors
- C. Ronald KahnMartin G. MyersXiao‐Jian SunLynne YenushJonathan BackerKyle D. CoppsDeborah J. BurksSteven E. Shoelson
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Morris F. White
344 papers receiving 50.3k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Endocrinology, Diabetes and Metabolism 10.6k
- Aging 1.0k
- Molecular Biology 32.8k
- Physiology 11.5k
- Endocrine and Autonomic Systems 2.7k
Countries citing papers authored by Morris F. White
This map shows the geographic impact of Morris F. White'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 Morris F. White with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Morris F. White more than expected).
Fields of papers citing papers by Morris F. White
This network shows the impact of papers produced by Morris F. White. 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 Morris F. White. The network helps show where Morris F. White may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Morris F. White, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | The role of hepatokines in NAFLDbreakdown → | 2023 | 176 |
| 5 | 2023 | 9 | |
| 6 | 2021 | 139 | |
| 7 | 2020 | 20 | |
| 8 | 2019 | 28 | |
| 9 | 2010 | 153 | |
| 10 | Abstract 3992: Insulin Receptor Substrates (IRS) are Critical Regulators of Autophagy and Cardiomyocyte Survival | 2009 | 1 |
| 11 | 2007 | 445 | |
| 12 | 2006 | 67 | |
| 13 | 2002 | 159 | |
| 14 | 2002 | 144 | |
| 15 | 2000 | 111 | |
| 16 | 1997 | 110 | |
| 17 | 1995 | 206 | |
| 18 | 1994 | 39 | |
| 19 | 1993 | 14 | |
| 20 | 1991 | 46 |
About Morris F. White
Morris F. White is a scholar working on Aging, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 346 papers that have together received 51.4k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (163 papers), Pancreatic function and diabetes (126 papers), Protein Kinase Regulation and GTPase Signaling (101 papers), Adipose Tissue and Metabolism (41 papers), PI3K/AKT/mTOR signaling in cancer (33 papers), Growth Hormone and Insulin-like Growth Factors (32 papers), FOXO transcription factor regulation (29 papers) and Diabetes and associated disorders (24 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (10.6k citations), Aging (1.0k citations) and Molecular Biology (32.8k citations). Morris F. White has collaborated with scholars based in United States, Germany and France. Frequent co-authors include C. Ronald Kahn, C. Ronald Kahn, Martin G. Myers, Xiao‐Jian Sun, Lynne Yenush, Jonathan Backer, Kyle D. Copps, Deborah J. Burks, Steven E. Shoelson and Vincent Aguirre. Their work appears in journals such as Nature, Science and Cell.
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.