Kevin Park

1.4k citations
38 papers · 694 indexed · h-index 15

Impact in

  • Pharmacology top 10%
    • Drug-Induced Hepatotoxicity and Protection
    • Cancer, Hypoxia, and Metabolism
    • Cancer, Lipids, and Metabolism

Papers in

    • Drug-Induced Adverse Reactions 5
    • Drug-Induced Hepatotoxicity and Protection 4
    • Pharmacogenetics and Drug Metabolism 2

Kevin Park

36 papers receiving 674 citations

Peers

Kevin Park
Comparison fields: 5 of 112
  • Pharmacology 69
  • Cancer Research 109
  • Biological Psychiatry 18
  • Hepatology 47
  • Oncology 155
Replace Kwi Hye Koh with:
Kwi Hye Koh United States
Yongdong Niu China
Elżbieta Urasińska Poland
Sue Lynn Lau Australia
Min Feng China
Meng Guo China
Shanthini Mary Crusz United Kingdom
Mingen Lin China
Kevin Park relative to Kwi Hye Koh United States Kwi Hye Koh's profile →
Citations per field
00.5×
Kwi Hye Koh · 1×
Citations per year

Countries citing papers authored by Kevin Park

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kevin Park, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kevin Park Line = papers co-authored together Kevin Park links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 202427
3 20239
4 20231
5 20233
6 202310
7 20225
8 202218
9 20222
10 202132
11 202014
12 201728
13 20169
14 201655
15 201527
16 20139
17 201343
18 201289
19 200764
20 199770

About Kevin Park

Kevin Park is a scholar working on Pharmacology, Hepatology, Transplantation, Immunology and Pharmacology, having authored 38 papers that have together received 694 indexed citations. Recurring topics across this work include Drug-Induced Adverse Reactions (5 papers), Drug Transport and Resistance Mechanisms (4 papers), Drug-Induced Hepatotoxicity and Protection (4 papers), Air Quality and Health Impacts (3 papers), Climate Change and Health Impacts (3 papers), Chronic Lymphocytic Leukemia Research (2 papers), Multiple Sclerosis Research Studies (2 papers) and Pharmacogenetics and Drug Metabolism (2 papers). The work is most often cited by research in Pharmacology (69 citations), Cancer Research (109 citations), Biological Psychiatry (18 citations), Hepatology (47 citations) and Oncology (155 citations). Kevin Park has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Munir Pirmohamed, Jean G. Sathish, Rosalind E. Jenkins, Swaminathan Sethu, Aldo Scarpa, Elisa Dalla Pozza, Daniela Cecconi, Eithne Costello, Victoria A. Elliott and Ilaria Dando. Their work appears in journals such as Clinical and Translational Allergy, Journal of Proteomics, Therapeutic Advances in Musculoskeletal Disease, Blood and Molecular & Cellular Proteomics.

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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