Nam Sook Kang

1.4k citations
97 papers · 1.2k indexed · h-index 20
Topics
Computational Drug Discovery Methods (21 papers)Protein Structure and Dynamics (10 papers)Cholinesterase and Neurodegenerative Diseases (10 papers)

In The Last Decade

Nam Sook Kang

94 papers receiving 1.1k citations

Peers

Nam Sook Kang
Comparison fields: 5 of 104
  • Molecular Biology 526
  • Organic Chemistry 232
  • Oncology 185
  • Computational Theory and Mathematics 176
  • Endocrinology, Diabetes and Metabolism 140
Replace Yong-Seok Heo with:
Yong-Seok Heo South Korea
Andreas Sutter Germany
Ahmed Elkamhawy South Korea
Curt D. Haffner United States
Aberra Fura United States
Weitao Fu China
Parimal Misra India
G. Pochetti Italy
Noeris K. Salam Australia
Daniel S. Sem United States
Nam Sook Kang relative to Yong-Seok Heo South Korea Yong-Seok Heo's profile →
Citations per field
00.5×1.5×2.2×
Yong-Seok Heo · 1×
Citations per year

Countries citing papers authored by Nam Sook Kang

Since Specialization
Citations

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

Fields of papers citing papers by Nam Sook Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nam Sook Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Nam Sook Kang. A scholar is included among the top collaborators of Nam Sook 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 Nam Sook Kang. Nam Sook 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 0
2 0
3 2
4 8
5 36
6 4
7 13
8 12
9 30
10 8
11 38
12 17
13 12
14 9
15 30
16 47
17 14
18 25
19 31
20 19

About Nam Sook Kang

Nam Sook Kang is a scholar working on Computational Theory and Mathematics, Pharmacology and Molecular Biology, having authored 97 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (21 papers), Protein Structure and Dynamics (10 papers) and Cholinesterase and Neurodegenerative Diseases (10 papers). The work is most often cited by research in Computational Theory and Mathematics (176 citations), Endocrinology, Diabetes and Metabolism (140 citations) and Organic Chemistry (232 citations). Nam Sook Kang has collaborated with scholars based in South Korea, India and United States. Frequent co-authors include Anand Balupuri, Jin Hee Ahn, Sung‐Eun Yoo, Eunhee Kim, Jong‐Kook Lee, Seung Kyu Kang, Myung Ae Bae, Young Sik Cho, Su-Jin Lee and Moon‐Sun Jang. Their work appears in journals such as PLoS ONE, Cancer Research and Scientific 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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