Eungseok Kim

49 total papers · 1.4k total citations
41 papers, 1.1k citations indexed

About

Eungseok Kim is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Eungseok Kim has authored 41 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 14 papers in Cellular and Molecular Neuroscience and 10 papers in Genetics. Recurrent topics in Eungseok Kim's work include Nuclear Receptors and Signaling (14 papers), Peroxisome Proliferator-Activated Receptors (8 papers) and Estrogen and related hormone effects (8 papers). Eungseok Kim is often cited by papers focused on Nuclear Receptors and Signaling (14 papers), Peroxisome Proliferator-Activated Receptors (8 papers) and Estrogen and related hormone effects (8 papers). Eungseok Kim collaborates with scholars based in South Korea, United States and Taiwan. Eungseok Kim's co-authors include Chawnshang Chang, Yueh‐Chiang Hu, Sung Soo Park, Sejong Oh, Hojung Choi, Seungjin Kim, Yei‐Tsung Chen, Shaozhen Xie, Loretta L. Collins and Ning-Chun Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biomaterials.

In The Last Decade

Eungseok Kim

39 papers receiving 1.1k citations

Author Peers

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

Author						Papers	Cites
Eungseok Kim	704	249	238	160	159	41	1.1k
Sazzad Hassan	546 0.8×	202 0.8×	302 1.3×	60 0.4×	209 1.3×	35	1.3k
Douglas W. Morgan	677 1.0×	108 0.4×	89 0.4×	185 1.2×	160 1.0×	52	1.4k
Osamu Sakai	548 0.8×	152 0.6×	125 0.5×	78 0.5×	132 0.8×	45	1.1k
Amelia A. Peters	657 0.9×	152 0.6×	291 1.2×	50 0.3×	202 1.3×	32	1.4k
Leda Biordi	454 0.6×	125 0.5×	93 0.4×	75 0.5×	263 1.7×	42	1.2k
Wilfried Kugler	843 1.2×	146 0.6×	114 0.5×	320 2.0×	147 0.9×	40	1.5k
Lei Li	909 1.3×	80 0.3×	153 0.6×	82 0.5×	142 0.9×	58	1.4k
Takuma Uo	989 1.4×	143 0.6×	85 0.4×	129 0.8×	119 0.7×	34	1.3k
Fang Yuan	530 0.8×	148 0.6×	72 0.3×	105 0.7×	96 0.6×	57	1.2k
Elisabetta De Marinis	751 1.1×	77 0.3×	204 0.9×	185 1.2×	41 0.3×	27	1.3k

Countries citing papers authored by Eungseok Kim

Since Specialization

Citations

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

Fields of papers citing papers by Eungseok Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eungseok Kim

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