Stephen L. Gwaltney
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- Diabetes Treatment and Management 6
- Organic Chemistry top 5%
- Oncology top 10%
- Peptidase Inhibition and Analysis 7
- Cancer Treatment and Pharmacology 4
- Cancer-related Molecular Pathways 4
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- Neuropeptides and Animal Physiology 6
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- Biochemical and Molecular Research 3
- DNA Repair Mechanisms 2
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- Hippo pathway signaling and YAP/TAZ 4
- Co-authors
- William RoushElizabeth HansellR.J. SkeneLihong ShiZhiyuan ZhangRongda XuDaniel B. KasselMichael B. Wallace
- Journals
- Journal of the American Chemical Society (1 paper)Cancer Research (1 paper)Journal of Medicinal Chemistry (3 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Stephen L. Gwaltney
25 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 75
- Endocrinology, Diabetes and Metabolism 350
- Organic Chemistry 540
- Oncology 391
- Cellular and Molecular Neuroscience 194
- Molecular Biology 478
Countries citing papers authored by Stephen L. Gwaltney
This map shows the geographic impact of Stephen L. Gwaltney'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 Stephen L. Gwaltney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen L. Gwaltney more than expected).
Fields of papers citing papers by Stephen L. Gwaltney
This network shows the impact of papers produced by Stephen L. Gwaltney. 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 Stephen L. Gwaltney. The network helps show where Stephen L. Gwaltney may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stephen L. Gwaltney, 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 | 6 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2017 | 15 | |
| 5 | 2013 | 27 | |
| 6 | 2012 | 21 | |
| 7 | 2008 | 50 | |
| 8 | 2008 | 22 | |
| 9 | 2007 | 33 | |
| 10 | 2007 | 326 | |
| 11 | 2006 | 29 | |
| 12 | 2004 | 10 | |
| 13 | 2003 | 64 | |
| 14 | 2003 | 2 | |
| 15 | 2001 | 150 | |
| 16 | 2001 | 18 | |
| 17 | 2001 | 49 | |
| 18 | 1998 | 193 | |
| 19 | 1996 | 20 | |
| 20 | 1996 | 47 |
About Stephen L. Gwaltney
Stephen L. Gwaltney is a scholar working on Oncology, Endocrinology, Diabetes and Metabolism and Cellular and Molecular Neuroscience, having authored 25 papers that have together received 1.3k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (7 papers), Diabetes Treatment and Management (6 papers), Neuropeptides and Animal Physiology (6 papers), Cancer Treatment and Pharmacology (4 papers), Hippo pathway signaling and YAP/TAZ (4 papers), Cancer-related Molecular Pathways (4 papers), Biochemical and Molecular Research (3 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (350 citations), Organic Chemistry (540 citations) and Oncology (391 citations). Stephen L. Gwaltney has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include William Roush, Elizabeth Hansell, R.J. Skene, Lihong Shi, Zhiyuan Zhang, Rongda Xu, Daniel B. Kassel, Michael B. Wallace, Karl A. Scheidt and James H. McKerrow. Their work appears in journals such as Journal of the American Chemical Society, Cancer Research and Journal of Medicinal Chemistry.
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.