Heather Towery
Impact in
- Aging top 5%
-
- Growth Hormone and Insulin-like Growth Factors
- Diet, Metabolism, and Disease
Papers in
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- Metabolism, Diabetes, and Cancer 5
- Protein Kinase Regulation and GTPase Signaling 2
- Surgery 3
- Pancreatic function and diabetes 2
- Intestinal and Peritoneal Adhesions 1
- Co-authors
- Morris F. White (7 shared papers)Deborah J. Burks (6 shared papers)Dominic J. Withers (5 shared papers)Sebastián Pons (3 shared papers)Dolores Bernal (2 shared papers)Gerald I. Shulman (2 shared papers)Susan Bonner‐Weir (2 shared papers)Yitao Zhang (2 shared papers)
- Journals
- Journal of Biological Chemistry (3 papers)Nature (2 papers)Renal Failure (1 paper)Nature Genetics (1 paper)Clinical Pediatrics (1 paper)
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Heather Towery
10 papers receiving 2.6k citations
Heather Towery's Hit Papers
Peers
Comparison fields: 5 of 101
- Aging 90
- Endocrinology, Diabetes and Metabolism 665
- Endocrine and Autonomic Systems 256
- Surgery 1.1k
- Molecular Biology 1.5k
Countries citing papers authored by Heather Towery
This map shows the geographic impact of Heather Towery'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 Heather Towery with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heather Towery more than expected).
Fields of papers citing papers by Heather Towery
This network shows the impact of papers produced by Heather Towery. 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 Heather Towery. The network helps show where Heather Towery may publish in the future.
Co-authors
The 25 scholars most cited alongside Heather Towery, 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 | Disruption of IRS-2 causes type 2 diabetes in mice Hit paper breakdown → | 1998 | 1484 |
| 2 | 1999 | 464 | |
| 3 | 2000 | 394 | |
| 4 | 1999 | 89 | |
| 5 | 1998 | 64 | |
| 6 | Withers, D. J. et al. Disruption of IRS-2 causes type 2 diabetes in mice. Nature 391, 900-904 | 1998 | 56 |
| 7 | 1997 | 53 | |
| 8 | 2003 | 48 | |
| 9 | 2004 | 12 | |
| 10 | 2017 | 2 |
About Heather Towery
Heather Towery is a scholar working on Molecular Biology, Surgery, Cell Biology, Physiology and Nephrology, having authored 10 papers that have together received 2.7k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (5 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Pancreatic function and diabetes (2 papers), Muscle metabolism and nutrition (1 paper), Diabetes and associated disorders (1 paper), Intestinal and Peritoneal Adhesions (1 paper), Therapeutic Uses of Natural Elements (1 paper) and Radiology practices and education (1 paper). The work is most often cited by research in Aging (90 citations), Endocrinology, Diabetes and Metabolism (665 citations), Endocrine and Autonomic Systems (256 citations), Surgery (1.1k citations) and Molecular Biology (1.5k citations). Heather Towery has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Morris F. White, Deborah J. Burks, Dominic J. Withers, Sebastián Pons, Dolores Bernal, Gerald I. Shulman, Susan Bonner‐Weir, Yitao Zhang, Stephen F. Previs and Jianming Ren. Their work appears in journals such as Journal of Biological Chemistry, Nature, Renal Failure, Nature Genetics and Clinical Pediatrics.
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.