Wesley Won

463 total citations
8 papers, 361 citations indexed

About

Wesley Won is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Wesley Won has authored 8 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Surgery and 3 papers in Molecular Biology. Recurrent topics in Wesley Won's work include Growth Hormone and Insulin-like Growth Factors (4 papers), Lipid metabolism and disorders (2 papers) and Lipoproteins and Cardiovascular Health (2 papers). Wesley Won is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (4 papers), Lipid metabolism and disorders (2 papers) and Lipoproteins and Cardiovascular Health (2 papers). Wesley Won collaborates with scholars based in United States and Canada. Wesley Won's co-authors include Lyn Powell-Braxton, Constance Zlot, Noël Dybdal, Stephen G. Young, Murielle M. Véniant, Ken‐ichi Hirano, Nicholas O. Davidson, James R. Paterniti, Ross Clark and Sean H. Adams and has published in prestigious journals such as Nature Medicine, Endocrinology and Metabolism.

In The Last Decade

Wesley Won

8 papers receiving 348 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Wesley Won United States 8 106 104 85 82 65 8 361
Melisande Addison United Kingdom 9 46 0.4× 97 0.9× 64 0.8× 37 0.5× 34 0.5× 13 300
Yoichiro Asai Japan 8 85 0.8× 140 1.3× 116 1.4× 22 0.3× 39 0.6× 15 336
Elizabeth K. Fletcher United States 11 200 1.9× 121 1.2× 139 1.6× 28 0.3× 98 1.5× 15 452
Janet Kramer United States 5 84 0.8× 108 1.0× 73 0.9× 348 4.2× 39 0.6× 5 636
Raitis Pečulis Latvia 12 114 1.1× 132 1.3× 53 0.6× 36 0.4× 22 0.3× 32 329
Maria Giulia Perrelli Italy 8 29 0.3× 60 0.6× 50 0.6× 44 0.5× 48 0.7× 8 284
Amelia Y.I. Viana Japan 7 68 0.6× 268 2.6× 102 1.2× 24 0.3× 31 0.5× 7 418
Kelly Hester United States 10 41 0.4× 258 2.5× 101 1.2× 38 0.5× 29 0.4× 23 536
Hideki Kushima Japan 11 251 2.4× 142 1.4× 170 2.0× 20 0.2× 78 1.2× 25 408
Antonella Marucci Italy 14 71 0.7× 184 1.8× 57 0.7× 21 0.3× 98 1.5× 29 425

Countries citing papers authored by Wesley Won

Since Specialization
Citations

This map shows the geographic impact of Wesley Won'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 Wesley Won with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wesley Won more than expected).

Fields of papers citing papers by Wesley Won

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wesley Won. 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 Wesley Won. The network helps show where Wesley Won may publish in the future.

Co-authorship network of co-authors of Wesley Won

This figure shows the co-authorship network connecting the top 25 collaborators of Wesley Won. A scholar is included among the top collaborators of Wesley Won 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 Wesley Won. Wesley Won is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Adams, Sean H., Wesley Won, Susan Schonhoff, Andrew B. Leiter, & James R. Paterniti. (2004). Effects of Peptide YY[3–36] on Short-Term Food Intake in Mice Are Not Affected by Prevailing Plasma Ghrelin Levels. Endocrinology. 145(11). 4967–4975. 49 indexed citations
2.
Hammad, Samar M., et al.. (2003). Nephropathy in a Hypercholesterolemic Mouse Model with Streptozotocin-Induced Diabetes. Kidney & Blood Pressure Research. 26(5-6). 351–361. 12 indexed citations
3.
Hammad, Samar M., et al.. (2003). Lipoprotein subclass profiles of hyperlipidemic diabetic mice measured by nuclear magnetic resonance spectroscopy. Metabolism. 52(7). 916–921. 14 indexed citations
4.
Ştefăneanu, Lucia, Lyn Powell-Braxton, Wesley Won, Varadaraj Chandrashekar, & Andrzej Bartke. (1999). Somatotroph and Lactotroph Changes in the Adenohypophyses of Mice with Disrupted Insulin-Like Growth Factor I Gene1. Endocrinology. 140(9). 3881–3889. 41 indexed citations
5.
Hongo, Minoru, Nobuaki Tanaka, Lan Mao, et al.. (1998). Angiotensin II blockade followed by growth hormone as adjunctive therapy after experimental myocardial infarction. Journal of Cardiac Failure. 4(3). 213–224. 14 indexed citations
6.
Powell-Braxton, Lyn, Murielle M. Véniant, Ken‐ichi Hirano, et al.. (1998). A mouse model of human familial hypercholesterolemia: Markedly elevated low density lipoprotein cholesterol levels and severe atherosclerosis on a low-fat chow diet. Nature Medicine. 4(8). 934–938. 167 indexed citations
7.
Clark, Ross, G. B. Thomas, Deborah L. Mortensen, et al.. (1997). Growth Hormone Secretagogues Stimulate the Hypothalamic-Pituitary-Adrenal Axis and Are Diabetogenic in the Zucker Diabetic Fatty Rat1. Endocrinology. 138(10). 4316–4323. 42 indexed citations
8.
Mortensen, Deborah L., Wesley Won, Jason J. Siu, et al.. (1997). Insulin-Like Growth Factor Binding Protein-1 Induces Insulin Release in the Rat. Endocrinology. 138(5). 2073–2080. 22 indexed citations

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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