Ohman Kwon

1.0k citations
21 papers · 820 · h-index 12

Impact in

Papers in

    • Pluripotent Stem Cells Research 6
    • Receptor Mechanisms and Signaling 1
    • PI3K/AKT/mTOR signaling in cancer 1
    • Protein Kinase Regulation and GTPase Signaling 1
    • Animal testing and alternatives 1

Ohman Kwon

21 papers receiving 811 citations

Peers

Ohman Kwon
Comparison fields: 5 of 67
  • Geriatrics and Gerontology 29
  • Aging 7
  • Molecular Biology 181
  • Food Science 30
  • Epidemiology 54
Replace Seulki Kim with:
Seulki Kim South Korea
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Kaushik Chakravarty United States
Stephanie Mathews United States
Nicoletta Potenza Italy
Maha Victor Agha Qatar
Aoyuan Cui China
Mahesh Kumar Jerald India
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Ohman Kwon relative to Seulki Kim South Korea Seulki Kim's profile →
Citations per field
00.5×2×3×3.5×
Seulki Kim · 1×
Citations per year

Countries citing papers authored by Ohman Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Ohman Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016237
2 2018110
3 2019102
4 202067
5 202153
6 201145
7 202243
8 202035
9 201232
10 201919
11 201914
12 201413
13 201712
14 20249
15 20249
16 20227
17 20215
18 20243
19 20212
20 20242

About Ohman Kwon

Ohman Kwon is a scholar working on Molecular Biology, Small Animals, Genetics, Genetics and Food Science, having authored 21 papers that have together received 820 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (6 papers), Receptor Mechanisms and Signaling (1 paper), PI3K/AKT/mTOR signaling in cancer (1 paper), Protein Kinase Regulation and GTPase Signaling (1 paper), Neurogenetic and Muscular Disorders Research (1 paper), Animal testing and alternatives (1 paper), Tissue Engineering and Regenerative Medicine (1 paper) and Helicobacter pylori-related gastroenterology studies (1 paper). The work is most often cited by research in Geriatrics and Gerontology (29 citations), Aging (7 citations), Molecular Biology (181 citations), Food Science (30 citations) and Epidemiology (54 citations). Ohman Kwon has collaborated with scholars based in South Korea and United Kingdom. Frequent co-authors include Mi‐Young Son, Sung Ho Ryu, Jungeun Noh, Ara Koh, Yong Ryoul Yang, Hwangseo Park, Heeyoon Jeong, Tae-Su Han, Dohyun Park and Mi Nam Lee. Their work appears in journals such as Nature Communications, Cellular Signalling, Journal of Clinical Medicine, Science Advances and Frontiers in Veterinary Science.

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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