Hongsuk Kang

847 citations
26 papers · 601 indexed · h-index 13
Topics
Protein Structure and Dynamics (6 papers)Computational Drug Discovery Methods (5 papers)Genetic Neurodegenerative Diseases (4 papers)

In The Last Decade

Hongsuk Kang

26 papers receiving 586 citations

Peers

Hongsuk Kang
Comparison fields: 5 of 99
  • Molecular Biology 346
  • Materials Chemistry 155
  • Biomedical Engineering 64
  • Organic Chemistry 56
  • Computational Theory and Mathematics 48
Replace Jefferson D. Knight with:
Jefferson D. Knight United States
Jung Ho Lee South Korea
Andrzej A. Kasprzak Poland
Pavan K. Challa United Kingdom
Shashank Pant United States
Takahiro Watanabe‐Nakayama Japan
Tugba G. Kucukkal United States
Anne Dhulesia United Kingdom
Fernando E. Herrera Argentina
Joseph M. Courtney United States
Hongsuk Kang relative to Jefferson D. Knight United States Jefferson D. Knight's profile →
Citations per field
00.5×2.6×
Jefferson D. Knight · 1×
Citations per year

Countries citing papers authored by Hongsuk Kang

Since Specialization
Citations

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

Fields of papers citing papers by Hongsuk Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongsuk Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Hongsuk Kang. A scholar is included among the top collaborators of Hongsuk Kang 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 Hongsuk Kang. Hongsuk Kang 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
#WorkIndexed citations
1 6
2 11
3 5
4 45
5 6
6 11
7 35
8 27
9 27
10 51
11 108
12 29
13 11
14 8
15 4
16 30
17 16
18 8
19 10
20 18

About Hongsuk Kang

Hongsuk Kang is a scholar working on Computational Theory and Mathematics, Energy Engineering and Power Technology and Molecular Biology, having authored 26 papers that have together received 601 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (6 papers), Computational Drug Discovery Methods (5 papers) and Genetic Neurodegenerative Diseases (4 papers). The work is most often cited by research in Molecular Biology (346 citations), Clinical Biochemistry (31 citations) and Physical and Theoretical Chemistry (31 citations). Hongsuk Kang has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include D. Thirumalai, Changbong Hyeon, Hwanho Choi, Hwangseo Park, Ruhong Zhou, P. Pincus, Greg B. Simpson, Zaixing Yang, Binquan Luan and Young‐Gui Yoon. Their work appears in journals such as Journal of the American Chemical Society, Physical Review Letters and Nucleic Acids Research.

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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