Shi‐Young Park

19 total papers · 1.3k total citations
16 papers, 876 citations indexed

About

Shi‐Young Park is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Shi‐Young Park has authored 16 papers receiving a total of 876 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Physiology and 4 papers in Epidemiology. Recurrent topics in Shi‐Young Park's work include Adipose Tissue and Metabolism (6 papers), Metabolism, Diabetes, and Cancer (4 papers) and Diet and metabolism studies (3 papers). Shi‐Young Park is often cited by papers focused on Adipose Tissue and Metabolism (6 papers), Metabolism, Diabetes, and Cancer (4 papers) and Diet and metabolism studies (3 papers). Shi‐Young Park collaborates with scholars based in South Korea, United States and Japan. Shi‐Young Park's co-authors include Cheol Soo Choi, Yung-Jin Kim, Cheol Soo Choi, Won‐Jun Jang, Eui-Yeun Yi, Ja Hyun Koo, Sang Geon Kim, Katsutaro Morino, Shinji Kume and Shogo Ida and has published in prestigious journals such as Journal of Clinical Investigation, Diabetes and Scientific Reports.

In The Last Decade

Shi‐Young Park

13 papers receiving 867 citations

Hit Papers

Insulin Resistance: From ... 2021 2026 2022 2024 2021 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Shi‐Young Park 309 272 244 205 112 16 876
Kazuo Fujisawa 473 1.5× 300 1.1× 152 0.6× 152 0.7× 93 0.8× 12 923
Tenagne D. Challa 289 0.9× 277 1.0× 273 1.1× 124 0.6× 85 0.8× 18 732
Anna Ljungberg 292 0.9× 290 1.1× 165 0.7× 172 0.8× 97 0.9× 15 740
Min Young Kim 349 1.1× 241 0.9× 259 1.1× 118 0.6× 114 1.0× 15 946
Zaida Abad‐Jiménez 382 1.2× 252 0.9× 191 0.8× 226 1.1× 152 1.4× 23 925
Hongdong Wang 261 0.8× 206 0.8× 236 1.0× 204 1.0× 148 1.3× 26 803
Naotaka Sekiguchi 250 0.8× 284 1.0× 142 0.6× 139 0.7× 74 0.7× 22 801
Zoi Michailidou 198 0.6× 292 1.1× 211 0.9× 372 1.8× 129 1.2× 18 891
Iria Nieto-Vázquez 278 0.9× 288 1.1× 312 1.3× 121 0.6× 84 0.8× 11 745
Meric Erikci Ertunc 432 1.4× 280 1.0× 292 1.2× 128 0.6× 102 0.9× 9 836

Countries citing papers authored by Shi‐Young Park

Since Specialization
Citations

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

Fields of papers citing papers by Shi‐Young Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shi‐Young Park. 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 Shi‐Young Park. The network helps show where Shi‐Young Park may publish in the future.

Co-authorship network of co-authors of Shi‐Young Park

This figure shows the co-authorship network connecting the top 25 collaborators of Shi‐Young Park. A scholar is included among the top collaborators of Shi‐Young Park 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 Shi‐Young Park. Shi‐Young Park 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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