Hyun-Won Kim

848 citations
38 papers · 697 · h-index 14

Impact in

Papers in

    • ATP Synthase and ATPases Research 4
    • Mitochondrial Function and Pathology 4
    • Peroxisome Proliferator-Activated Receptors 3

Hyun-Won Kim

36 papers receiving 670 citations

Peers

Hyun-Won Kim
Comparison fields: 5 of 88
  • Applied Microbiology and Biotechnology 11
  • Molecular Biology 400
  • Pharmaceutical Science 32
  • Cancer Research 68
  • Business and International Management 9
Replace Subhas S. Karki with:
Subhas S. Karki India
Khajeelak Chiablaem Thailand
Warner B. Bair United States
L. H. Patterson United Kingdom
Mark Sutherland United Kingdom
Toshitaka Koga Japan
Saeed R. Khan United States
B.T. Prabhakar India
H Ekimoto Japan
Hyun-Won Kim relative to Subhas S. Karki India Subhas S. Karki's profile →
Citations per field
00.5×1.5×2.3×
Subhas S. Karki · 1×
Citations per year

Countries citing papers authored by Hyun-Won Kim

Since Specialization
Citations

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

Fields of papers citing papers by Hyun-Won Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hyun-Won Kim, 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 Hyun-Won Kim Line = papers co-authored together Hyun-Won Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003159
2 199067
3 201950
4 200143
5 200040
6 201636
7 202034
8 200033
9 201528
10
Inclusion complexation of a family of Cyclosophoraoses with indomethacin
200123
11 199521
12 201719
13 200018
14 200116
15 200212
16 201512
17 200210
18 199610
19 201010
20 20149

About Hyun-Won Kim

Hyun-Won Kim is a scholar working on Molecular Biology, Plant Science, Oncology, Cancer Research and Genetics, having authored 38 papers that have together received 697 indexed citations. Recurring topics across this work include ATP Synthase and ATPases Research (4 papers), Mitochondrial Function and Pathology (4 papers), Neonatal Health and Biochemistry (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Hemoglobinopathies and Related Disorders (3 papers), Hemoglobin structure and function (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Hepatitis C virus research (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (11 citations), Molecular Biology (400 citations), Pharmaceutical Science (32 citations), Cancer Research (68 citations) and Business and International Management (9 citations). Hyun-Won Kim has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Seunho Jung, Chul‐Hak Yang, Yonghoon Choi, Yangsik Jeong, Iain D. Campbell, Juan A. Galbis, Stuart J. Ferguson, Byung‐Il Yeh, Donghyuk Seo and Sanghoo Lee. Their work appears in journals such as Carbohydrate Research, Oncotarget, Biochemical and Biophysical Research Communications, Biomarker Research and BMB Reports.

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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