Min Hi Park

47 total papers · 2.6k total citations
40 papers, 1.3k citations indexed

About

Min Hi Park is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Min Hi Park has authored 40 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 13 papers in Physiology and 10 papers in Epidemiology. Recurrent topics in Min Hi Park's work include Adipose Tissue and Metabolism (9 papers), Peroxisome Proliferator-Activated Receptors (7 papers) and FOXO transcription factor regulation (6 papers). Min Hi Park is often cited by papers focused on Adipose Tissue and Metabolism (9 papers), Peroxisome Proliferator-Activated Receptors (7 papers) and FOXO transcription factor regulation (6 papers). Min Hi Park collaborates with scholars based in South Korea, United States and Japan. Min Hi Park's co-authors include Hae Young Chung, Ki Wung Chung, Dae Hyun Kim, Byung Pal Yu, Yeon Ja Choi, Eun Kyeong Lee, Chan Hum Park, Nam Deuk Kim, Eun Ji Jang and Dong‐Soon Im and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Min Hi Park

40 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Min Hi Park 558 387 196 155 145 40 1.3k
Jung Yeon Kwon 622 1.1× 337 0.9× 96 0.5× 191 1.2× 214 1.5× 45 1.6k
Masumi Hara 744 1.3× 280 0.7× 140 0.7× 138 0.9× 221 1.5× 46 1.4k
Jiyoung Bae 434 0.8× 172 0.4× 115 0.6× 217 1.4× 166 1.1× 39 1.2k
Timo M. Buetler 972 1.7× 289 0.7× 111 0.6× 88 0.6× 46 0.3× 33 1.7k
Young Suk Jung 668 1.2× 206 0.5× 141 0.7× 60 0.4× 300 2.1× 58 1.7k
Paolo Nassi 845 1.5× 359 0.9× 189 1.0× 40 0.3× 107 0.7× 76 1.7k
Ki Mo Kim 746 1.3× 144 0.4× 183 0.9× 83 0.5× 118 0.8× 50 1.5k
Motonobu Matsumoto 590 1.1× 296 0.8× 59 0.3× 197 1.3× 98 0.7× 28 1.8k
Guglielmo Duranti 420 0.8× 307 0.8× 189 1.0× 49 0.3× 60 0.4× 53 1.3k
T. Osawa 551 1.0× 145 0.4× 104 0.5× 96 0.6× 71 0.5× 35 1.5k

Countries citing papers authored by Min Hi Park

Since Specialization
Citations

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

Fields of papers citing papers by Min Hi Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min Hi 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 Min Hi Park. The network helps show where Min Hi Park may publish in the future.

Co-authorship network of co-authors of Min Hi Park

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