Yeonhee Park

76 total papers · 637 total citations
40 papers, 404 citations indexed

About

Yeonhee Park is a scholar working on Statistics and Probability, Molecular Biology and Oncology. According to data from OpenAlex, Yeonhee Park has authored 40 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Statistics and Probability, 12 papers in Molecular Biology and 10 papers in Oncology. Recurrent topics in Yeonhee Park's work include Statistical Methods in Clinical Trials (13 papers), Optimal Experimental Design Methods (5 papers) and Cancer Genomics and Diagnostics (5 papers). Yeonhee Park is often cited by papers focused on Statistical Methods in Clinical Trials (13 papers), Optimal Experimental Design Methods (5 papers) and Cancer Genomics and Diagnostics (5 papers). Yeonhee Park collaborates with scholars based in United States, South Korea and Iran. Yeonhee Park's co-authors include George Carman, Chung Eun Lee, Sun Young Rha, Su Kyung Song, Jiyeon Lee, Gil‐Soo Han, Teresa A. Garrett, Eugenia Mileykovskaya, Suyu Liu and Zhihua Su and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Yeonhee Park

36 papers receiving 398 citations

Author Peers

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

Author Last Decade Papers Cites
Yeonhee Park 174 102 66 53 37 40 404
Zachary Veitch 145 0.8× 188 1.8× 85 1.3× 17 0.3× 12 0.3× 36 375
Vivek A. Rudrapatna 150 0.9× 48 0.5× 99 1.5× 21 0.4× 76 2.1× 33 438
Stefanie Reif 107 0.6× 187 1.8× 45 0.7× 13 0.2× 18 0.5× 22 443
Rebecca Goulding 120 0.7× 87 0.9× 20 0.3× 8 0.2× 14 0.4× 29 493
Robert J. Brooks 76 0.4× 215 2.1× 27 0.4× 9 0.2× 16 0.4× 28 468
Qi Chen 118 0.7× 74 0.7× 13 0.2× 9 0.2× 29 0.8× 45 482
Nishan Guha 133 0.8× 39 0.4× 101 1.5× 4 0.1× 20 0.5× 31 377
Sedef Yenice 141 0.8× 70 0.7× 20 0.3× 18 0.3× 30 0.8× 26 381
Andrea Li Ann Wong 136 0.8× 161 1.6× 19 0.3× 4 0.1× 15 0.4× 44 410
Brooke M. Katzman 185 1.1× 78 0.8× 79 1.2× 10 0.2× 14 0.4× 26 400

Countries citing papers authored by Yeonhee Park

Since Specialization
Citations

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

Fields of papers citing papers by Yeonhee Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yeonhee Park

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