Eun Sil Kim

184 total papers · 1.2k total citations
98 papers, 780 citations indexed

About

Eun Sil Kim is a scholar working on Genetics, Surgery and Epidemiology. According to data from OpenAlex, Eun Sil Kim has authored 98 papers receiving a total of 780 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Genetics, 25 papers in Surgery and 23 papers in Epidemiology. Recurrent topics in Eun Sil Kim's work include Inflammatory Bowel Disease (24 papers), Microscopic Colitis (19 papers) and Diverse Approaches in Healthcare and Education Studies (7 papers). Eun Sil Kim is often cited by papers focused on Inflammatory Bowel Disease (24 papers), Microscopic Colitis (19 papers) and Diverse Approaches in Healthcare and Education Studies (7 papers). Eun Sil Kim collaborates with scholars based in South Korea, United States and Cambodia. Eun Sil Kim's co-authors include Bradley C. Riemann, Richard J. McNally, Mi Jin Kim, Yon Ho Choe, Han‐Cheol Choe, William A. Brantley, Yong‐Hoon Jeong, Ben Kang, Jin Soo Lee and Moon‐Hyun Chung and has published in prestigious journals such as Scientific Reports, Food Chemistry and Chemical Engineering Journal.

In The Last Decade

Eun Sil Kim

83 papers receiving 733 citations

Author Peers

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

Author Last Decade Papers Cites
Eun Sil Kim 294 214 185 90 88 98 780
Joel Reiter 182 0.6× 124 0.6× 99 0.5× 63 0.7× 32 0.4× 59 894
Lin Shen 148 0.5× 58 0.3× 83 0.4× 24 0.3× 95 1.1× 71 826
Xue Zheng 138 0.5× 78 0.4× 64 0.3× 42 0.5× 52 0.6× 47 857
Roxane Fabre 52 0.2× 45 0.2× 81 0.4× 118 1.3× 52 0.6× 75 830
Kimberly Kelly 248 0.8× 125 0.6× 142 0.8× 17 0.2× 66 0.8× 45 692
Chelsea B. Deroche 97 0.3× 89 0.4× 102 0.6× 61 0.7× 151 1.7× 57 843
Sonia Rodríguez 98 0.3× 249 1.2× 119 0.6× 50 0.6× 143 1.6× 32 740
Lauren E. Gibson 65 0.2× 257 1.2× 25 0.1× 72 0.8× 82 0.9× 45 842
Lokesh Saini 50 0.2× 112 0.5× 86 0.5× 67 0.7× 67 0.8× 149 657
Kun Wang 81 0.3× 49 0.2× 45 0.2× 91 1.0× 194 2.2× 49 710

Countries citing papers authored by Eun Sil Kim

Since Specialization
Citations

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

Fields of papers citing papers by Eun Sil Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eun Sil Kim

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