Ha Won Kim

970 total citations · 1 hit paper
35 papers, 759 citations indexed

About

Ha Won Kim is a scholar working on Pharmacology, Cell Biology and Molecular Biology. According to data from OpenAlex, Ha Won Kim has authored 35 papers receiving a total of 759 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Pharmacology, 12 papers in Cell Biology and 11 papers in Molecular Biology. Recurrent topics in Ha Won Kim's work include Fungal Biology and Applications (17 papers), Aldose Reductase and Taurine (12 papers) and Prenatal Substance Exposure Effects (7 papers). Ha Won Kim is often cited by papers focused on Fungal Biology and Applications (17 papers), Aldose Reductase and Taurine (12 papers) and Prenatal Substance Exposure Effects (7 papers). Ha Won Kim collaborates with scholars based in South Korea, Netherlands and China. Ha Won Kim's co-authors include Stephen W. Schaffer, Dong Hee Lee, Byong Kak Kim, Taesun Park, Sung In Kim, Yan Ding, Young Ho Kim, Mi Jeong Kim, Seung Jae Oh and Joo‐Hiuk Son and has published in prestigious journals such as Applied Physics Letters, Life Sciences and Advances in experimental medicine and biology.

In The Last Decade

Ha Won Kim

34 papers receiving 725 citations

Hit Papers

Effects and Mechanisms of Taurine as a Therapeutic Agent 2018 2026 2020 2023 2018 50 100 150 200 250

Peers

Ha Won Kim
Comparison fields: 5 of 101
  • Molecular Biology 260
  • Cell Biology 193
  • Pharmacology 191
  • Plant Science 121
  • Physiology 114
Replace Cinzia Calcabrini with:
Cinzia Calcabrini Italy
Gilbert A. Boissonneault United States
Murali Ganesan United States
Kyu Yong Jung South Korea
Haitian Ma China
Cheol Min Kim South Korea
Flavio Francini Argentina
Claudia Manca Italy
Bungo Shirouchi Japan
Cinzia Calcabrini Italy View profile →
Citations per field, relative to Ha Won Kim
Ha Won Kim · 1×
Citations per year, relative to Ha Won Kim
Ha Won Kim · 1×

Countries citing papers authored by Ha Won Kim

Since Specialization
Citations

This map shows the geographic impact of Ha 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 Ha 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 Ha Won Kim more than expected).

Fields of papers citing papers by Ha Won Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ha Won Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Ha Won Kim. A scholar is included among the top collaborators of Ha Won Kim 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 Ha Won Kim. Ha Won Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 6
3 3
4 64
5 10
6 23
7 45
8 34
9 34
10 26
11 5
12 8
13
Antitumor Activity of Cordyceps militaris on Human Cancer Cell Line
9
14 23
15 2
16 0
17 2
18 4
19 55
20 2

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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