Tae Yeon Kwon

27 total papers · 593 total citations
15 papers, 346 citations indexed

About

Tae Yeon Kwon is a scholar working on Finance, Epidemiology and Management Science and Operations Research. According to data from OpenAlex, Tae Yeon Kwon has authored 15 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Finance, 3 papers in Epidemiology and 3 papers in Management Science and Operations Research. Recurrent topics in Tae Yeon Kwon's work include Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Insurance, Mortality, Demography, Risk Management (3 papers) and Acute Ischemic Stroke Management (2 papers). Tae Yeon Kwon is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Insurance, Mortality, Demography, Risk Management (3 papers) and Acute Ischemic Stroke Management (2 papers). Tae Yeon Kwon collaborates with scholars based in South Korea, United States and Japan. Tae Yeon Kwon's co-authors include Yousung Park, Nam Hoon Kim, Sin Gon Kim, Sungwook Yu, Nan Hee Kim, Sei Hyun Baik, Kyung Mook Choi, Ji A Seo, Dong Seop Choi and Kyeong Jin Kim and has published in prestigious journals such as Stroke, Scientific Reports and Finance research letters.

In The Last Decade

Tae Yeon Kwon

12 papers receiving 341 citations

Hit Papers

A novel adiposity index a... 2018 2026 2020 2023 2018 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Tae Yeon Kwon 124 93 92 88 67 15 346
Lip Ping Low 126 1.0× 76 0.8× 52 0.6× 121 1.4× 75 1.1× 15 357
J. Rafael Jiménez-Flores 110 0.9× 52 0.6× 62 0.7× 162 1.8× 106 1.6× 21 375
Yingxian Sun 94 0.8× 40 0.4× 49 0.5× 73 0.8× 63 0.9× 22 345
Yu Jin Yang 93 0.8× 70 0.8× 63 0.7× 88 1.0× 59 0.9× 12 338
Hitomi Fujii 71 0.6× 50 0.5× 60 0.7× 127 1.4× 61 0.9× 20 339
Jian Bo 155 1.3× 132 1.4× 53 0.6× 35 0.4× 38 0.6× 14 340
Kuller Lh 81 0.7× 51 0.5× 77 0.8× 87 1.0× 101 1.5× 20 372
K-H Yoon 53 0.4× 69 0.7× 71 0.8× 148 1.7× 90 1.3× 9 311
Ming Yang 51 0.4× 54 0.6× 51 0.6× 95 1.1× 148 2.2× 15 339
Aurelia Morawiec‐Knysak 43 0.3× 125 1.3× 77 0.8× 53 0.6× 27 0.4× 17 359

Countries citing papers authored by Tae Yeon Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Tae Yeon Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tae Yeon Kwon. 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 Tae Yeon Kwon. The network helps show where Tae Yeon Kwon may publish in the future.

Co-authorship network of co-authors of Tae Yeon Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Tae Yeon Kwon. A scholar is included among the top collaborators of Tae Yeon Kwon 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 Tae Yeon Kwon. Tae Yeon Kwon 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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