Jong‐Gil Park

2.1k citations
61 papers · 1.5k · h-index 19

Impact in

    • Lipid metabolism and biosynthesis
  • Immunology top 10%
    • Atherosclerosis and Cardiovascular Diseases

Papers in

    • Peroxisome Proliferator-Activated Receptors 4
    • Redox biology and oxidative stress 4
    • Cholesterol and Lipid Metabolism 4

Jong‐Gil Park

57 papers receiving 1.5k citations

Peers

Jong‐Gil Park
Comparison fields: 5 of 109
  • Biochemistry 147
  • Immunology 275
  • Epidemiology 332
  • Molecular Biology 649
  • Endocrinology, Diabetes and Metabolism 144
Replace Annika Mehlem with:
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Jong‐Gil Park relative to Annika Mehlem Sweden Annika Mehlem's profile →
Citations per field
00.5×1.5×2.2×
Annika Mehlem · 1×
Citations per year

Countries citing papers authored by Jong‐Gil Park

Since Specialization
Citations

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

Fields of papers citing papers by Jong‐Gil Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jong‐Gil 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 Jong‐Gil Park Line = papers co-authored together Jong‐Gil Park links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013227
2 2011104
3 2010101
4 201486
5 200583
6 201177
7 201768
8 201264
9 201659
10 201945
11 202344
12 201441
13 202141
14 200634
15 201430
16 201829
17 200929
18 200726
19 201920
20 201118

About Jong‐Gil Park

Jong‐Gil Park is a scholar working on Molecular Biology, Surgery, Ecology, Immunology and Genetics, having authored 61 papers that have together received 1.5k indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (8 papers), Avian ecology and behavior (8 papers), Genetic diversity and population structure (5 papers), Lipid metabolism and biosynthesis (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Redox biology and oxidative stress (4 papers), Cholesterol and Lipid Metabolism (4 papers) and Cell Adhesion Molecules Research (3 papers). The work is most often cited by research in Biochemistry (147 citations), Immunology (275 citations), Epidemiology (332 citations), Molecular Biology (649 citations) and Endocrinology, Diabetes and Metabolism (144 citations). Jong‐Gil Park has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Ann–Hwee Lee, Xu Xu, Jae‐Seon So, Goo Taeg Oh, Se‐Jin Jeong, Jae‐Hoon Choi, Mi‐Ran Lee, Kyu Yeon Hur, In‐Hyuk Jung and Ji Young Yoo. Their work appears in journals such as Experimental & Molecular Medicine, BMB Reports, Frontiers in Cellular and Infection Microbiology, Archives of Pharmacal Research and Atherosclerosis.

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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