Justin G.S. Won

40 total papers · 715 total citations
39 papers, 556 citations indexed

About

Justin G.S. Won is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Epidemiology. According to data from OpenAlex, Justin G.S. Won has authored 39 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Endocrinology, Diabetes and Metabolism, 17 papers in Surgery and 8 papers in Epidemiology. Recurrent topics in Justin G.S. Won's work include Neuroendocrine Tumor Research Advances (8 papers), Adrenal Hormones and Disorders (7 papers) and Stress Responses and Cortisol (6 papers). Justin G.S. Won is often cited by papers focused on Neuroendocrine Tumor Research Advances (8 papers), Adrenal Hormones and Disorders (7 papers) and Stress Responses and Cortisol (6 papers). Justin G.S. Won collaborates with scholars based in Taiwan, United States and France. Justin G.S. Won's co-authors include David N. Orth, Kam‐Tsun Tang, Tjin‐Shing Jap, An‐Hang Yang, Hong-Da Lin, Yutaka Oki, Liang‐Yu Lin, Tjin Shing Jap, Niculina I. Burcus and Gary L. Pittenger and has published in prestigious journals such as PLoS ONE, Endocrinology and Nutrients.

In The Last Decade

Justin G.S. Won

38 papers receiving 540 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Justin G.S. Won 259 164 121 93 83 39 556
Andreas Moraitis 305 1.2× 225 1.4× 61 0.5× 141 1.5× 52 0.6× 41 559
G Lomuscio 419 1.6× 243 1.5× 65 0.5× 56 0.6× 43 0.5× 19 673
B. Velkeniers 357 1.4× 82 0.5× 64 0.5× 162 1.7× 47 0.6× 43 651
Edit Gláz 448 1.7× 206 1.3× 24 0.2× 142 1.5× 22 0.3× 56 646
Naci Çine 68 0.3× 58 0.4× 58 0.5× 185 2.0× 84 1.0× 59 683
Itta Kawamura 94 0.4× 167 1.0× 125 1.0× 240 2.6× 34 0.4× 41 684
Eva Szarek 208 0.8× 215 1.3× 38 0.3× 171 1.8× 53 0.6× 22 514
H. G. Doerr 227 0.9× 48 0.3× 63 0.5× 201 2.2× 12 0.1× 29 651
Takao Noshiro 336 1.3× 374 2.3× 55 0.5× 87 0.9× 41 0.5× 43 670
T. Verleun 485 1.9× 98 0.6× 110 0.9× 91 1.0× 17 0.2× 31 695

Countries citing papers authored by Justin G.S. Won

Since Specialization
Citations

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

Fields of papers citing papers by Justin G.S. Won

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Justin G.S. Won

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

All Works

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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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