Stephen L. Gwaltney

2.0k citations
25 papers · 1.3k indexed · h-index 17
Topics
Peptidase Inhibition and Analysis (7 papers)Diabetes Treatment and Management (6 papers)Neuropeptides and Animal Physiology (6 papers)

In The Last Decade

Stephen L. Gwaltney

25 papers receiving 1.2k citations

Peers

Stephen L. Gwaltney
Comparison fields: 5 of 75
  • Organic Chemistry 540
  • Molecular Biology 478
  • Oncology 391
  • Endocrinology, Diabetes and Metabolism 350
  • Cellular and Molecular Neuroscience 194
Replace Vincent Leroux with:
Vincent Leroux France
Yiqin Wu United States
Frank Marsilio United States
Fumihiko Akahoshi Japan
Tetsuo Ohnuki Japan
Patrizio Mattei Switzerland
Markus Boehringer Switzerland
Chris Limberakis United States
Randall W. Hungate United States
V.T. Skamnaki Greece
Stephen L. Gwaltney relative to Vincent Leroux France Vincent Leroux's profile →
Citations per field
00.5×4.7×
Vincent Leroux · 1×
Citations per year

Countries citing papers authored by Stephen L. Gwaltney

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Stephen L. Gwaltney

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen L. Gwaltney. A scholar is included among the top collaborators of Stephen L. Gwaltney based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stephen L. Gwaltney. Stephen L. Gwaltney is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 6
2 1
3 1
4 15
5 27
6 21
7 50
8 22
9 33
10 326
11 29
12 10
13 64
14 2
15 150
16 18
17 49
18 193
19 20
20 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) and Neuropeptides and Animal Physiology (6 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.

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