Hwangseo Park

3.1k citations
117 papers · 2.6k · h-index 30

Impact in

Papers in

    • Protein Tyrosine Phosphatases 36
    • Protein Structure and Dynamics 19
    • Biochemical and Molecular Research 11
    • ATP Synthase and ATPases Research 11
    • Melanoma and MAPK Pathways 8
    • Protein Kinase Regulation and GTPase Signaling 8
    • Computational Drug Discovery Methods 28

Hwangseo Park

115 papers receiving 2.6k citations

Peers

Hwangseo Park
Comparison fields: 5 of 130
  • Toxicology 116
  • Computational Theory and Mathematics 472
  • Organic Chemistry 648
  • Geriatrics and Gerontology 86
  • Molecular Biology 1.4k
Replace Zhijian Xu with:
Zhijian Xu China
Sandro Cosconati Italy
T. Dwight McGee United States
Alberto Del Río Italy
David L. Pincus United States
Goran Krilov United States
Adriano Martinelli Italy
Georgina A. Holloway Australia
Jin Huang China
David S. Cerutti United States
Hwangseo Park relative to Zhijian Xu China Zhijian Xu's profile →
Citations per field
00.5×1.5×
Zhijian Xu · 1×
Citations per year

Countries citing papers authored by Hwangseo Park

Since Specialization
Citations

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

Fields of papers citing papers by Hwangseo Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016224
2 2006162
3 2007116
4 200883
5 200981
6 201080
7 200574
8 201969
9 201167
10 200365
11 200559
12 201352
13 200751
14 201947
15 201743
16 201042
17 199939
18 200038
19 201837
20 200436

About Hwangseo Park

Hwangseo Park is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Oncology and Materials Chemistry, having authored 117 papers that have together received 2.6k indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (36 papers), Computational Drug Discovery Methods (28 papers), Protein Structure and Dynamics (19 papers), Biochemical and Molecular Research (11 papers), ATP Synthase and ATPases Research (11 papers), Enzyme Structure and Function (9 papers), Melanoma and MAPK Pathways (8 papers) and Protein Kinase Regulation and GTPase Signaling (8 papers). The work is most often cited by research in Toxicology (116 citations), Computational Theory and Mathematics (472 citations), Organic Chemistry (648 citations), Geriatrics and Gerontology (86 citations) and Molecular Biology (1.4k citations). Hwangseo Park has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Sangyoub Lee, Hwanho Choi, Sungwoo Hong, Junghun Suh, Seong Eon Ryu, Hongsuk Kang, Hyeongjin Cho, Seung Wook Ham, Young‐Hoon Kim and Keun Kim. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Molecular Graphics and Modelling, Journal of Computer-Aided Molecular Design, Journal of Chemical Information and Modeling and Journal of the American Chemical Society.

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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