Eugenia Kim

10 total papers · 406 total citations
6 papers, 316 citations indexed

About

Eugenia Kim is a scholar working on Surgery, Molecular Biology and Numerical Analysis. According to data from OpenAlex, Eugenia Kim has authored 6 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Surgery, 1 paper in Molecular Biology and 1 paper in Numerical Analysis. Recurrent topics in Eugenia Kim's work include Statistical Methods and Bayesian Inference (1 paper), Numerical methods in inverse problems (1 paper) and Pharmacological Effects and Toxicity Studies (1 paper). Eugenia Kim is often cited by papers focused on Statistical Methods and Bayesian Inference (1 paper), Numerical methods in inverse problems (1 paper) and Pharmacological Effects and Toxicity Studies (1 paper). Eugenia Kim collaborates with scholars based in United States and South Korea. Eugenia Kim's co-authors include Eoin Brodie, Yvonne J. Huang, Michael J. Cox, Susan V. Lynch, Jeanine P. Wiener-Kronish, Nicholas J. Horton, Richard Saitz, Yong-Jung Kim, Jaywan Chung and Wasim Dar and has published in prestigious journals such as BMC Medical Research Methodology, Journal of Differential Equations and Seminars in Immunology.

In The Last Decade

Eugenia Kim

6 papers receiving 311 citations

Author Peers

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

Author						Papers	Cites
Eugenia Kim	111	110	73	67	32	6	316
Kelly Griffin	26 0.2×	43 0.4×	58 0.8×	25 0.4×	11 0.3×	10	315
Julie Ann P. Casani	35 0.3×	58 0.5×	42 0.6×	106 1.6×	10 0.3×	13	327
Heidi Werner	62 0.6×	45 0.4×	18 0.2×	33 0.5×	19 0.6×	10	323
Joseph Britto	50 0.5×	54 0.5×	35 0.5×	106 1.6×	5 0.2×	15	345
Ren-Long Jan	41 0.4×	81 0.7×	32 0.4×	19 0.3×	135 4.2×	11	361
Parisá Khodayar‐Pardo	124 1.1×	44 0.4×	42 0.6×	135 2.0×	9 0.3×	8	301
Sara Robinson	115 1.0×	18 0.2×	10 0.1×	90 1.3×	30 0.9×	19	363
William Carruth	115 1.0×	50 0.5×	141 1.9×	55 0.8×	4 0.1×	8	351
Meike Bendiks	42 0.4×	82 0.7×	21 0.3×	51 0.8×	90 2.8×	10	292
Kathryn Felmet	10 0.1×	66 0.6×	29 0.4×	76 1.1×	22 0.7×	8	344

Countries citing papers authored by Eugenia Kim

Since Specialization

Citations

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

Fields of papers citing papers by Eugenia Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eugenia Kim

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