Myong‐Jin Kim

117 total papers · 965 total citations
55 papers, 613 citations indexed

About

Myong‐Jin Kim is a scholar working on Pharmacology, Public Health, Environmental and Occupational Health and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Myong‐Jin Kim has authored 55 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pharmacology, 8 papers in Public Health, Environmental and Occupational Health and 8 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Myong‐Jin Kim's work include Pharmacogenetics and Drug Metabolism (9 papers), Reproductive Health and Contraception (6 papers) and Acoustic Wave Phenomena Research (6 papers). Myong‐Jin Kim is often cited by papers focused on Pharmacogenetics and Drug Metabolism (9 papers), Reproductive Health and Contraception (6 papers) and Acoustic Wave Phenomena Research (6 papers). Myong‐Jin Kim collaborates with scholars based in United States, South Korea and North Korea. Myong‐Jin Kim's co-authors include Liang Zhao, Joseph Bertino, Anne N. Nafziger, Robert Lionberger, Shiew‐Mei Huang, Lei Zhang, Mahboob Sobhan, Lisa Soule, Lawrence J. Lesko and Chongwoo Yu and has published in prestigious journals such as New England Journal of Medicine, Journal of Controlled Release and International Journal of Pharmaceutics.

In The Last Decade

Myong‐Jin Kim

51 papers receiving 588 citations

Author Peers

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

Author Last Decade Papers Cites
Myong‐Jin Kim 125 111 96 69 66 55 613
Myeong Gyu Kim 58 0.5× 66 0.6× 120 1.3× 83 1.2× 46 0.7× 66 636
Hyewon Chung 51 0.4× 121 1.1× 57 0.6× 125 1.8× 64 1.0× 45 583
Helen S. Pentikis 76 0.6× 41 0.4× 54 0.6× 86 1.2× 20 0.3× 37 557
Philip R. Mayer 195 1.6× 32 0.3× 118 1.2× 130 1.9× 84 1.3× 36 653
G Pabst 36 0.3× 36 0.3× 39 0.4× 78 1.1× 35 0.5× 48 594
M. E. Pickup 109 0.9× 27 0.2× 67 0.7× 68 1.0× 75 1.1× 32 693
Mathangi Gopalakrishnan 17 0.1× 102 0.9× 111 1.2× 62 0.9× 26 0.4× 63 641
Mamoru Narukawa 64 0.5× 35 0.3× 58 0.6× 101 1.5× 64 1.0× 111 634
Jill Fiedler‐Kelly 51 0.4× 37 0.3× 101 1.1× 110 1.6× 11 0.2× 47 647
Eva M. Vasquez 48 0.4× 70 0.6× 139 1.4× 35 0.5× 12 0.2× 30 550

Countries citing papers authored by Myong‐Jin Kim

Since Specialization
Citations

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

Fields of papers citing papers by Myong‐Jin Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Myong‐Jin Kim. 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 Myong‐Jin Kim. The network helps show where Myong‐Jin Kim may publish in the future.

Co-authorship network of co-authors of Myong‐Jin Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Myong‐Jin Kim. A scholar is included among the top collaborators of Myong‐Jin Kim 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 Myong‐Jin Kim. Myong‐Jin Kim 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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