Hyung‐Sik Won

2.1k total citations
73 papers, 1.7k citations indexed

About

Hyung‐Sik Won is a scholar working on Molecular Biology, Materials Chemistry and Microbiology. According to data from OpenAlex, Hyung‐Sik Won has authored 73 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 18 papers in Materials Chemistry and 15 papers in Microbiology. Recurrent topics in Hyung‐Sik Won's work include Protein Structure and Dynamics (19 papers), Enzyme Structure and Function (18 papers) and Antimicrobial Peptides and Activities (15 papers). Hyung‐Sik Won is often cited by papers focused on Protein Structure and Dynamics (19 papers), Enzyme Structure and Function (18 papers) and Antimicrobial Peptides and Activities (15 papers). Hyung‐Sik Won collaborates with scholars based in South Korea, United States and Japan. Hyung‐Sik Won's co-authors include Bong‐Jin Lee, Min‐Duk Seo, Ji Hun Kim, Tsogbadrakh Mishig‐Ochir, Su‐Jin Kang, Sang‐Ho Park, Sunghee Lee, Tae‐Bong Kang, Tae‐Woo Lee and Do-Wan Shim and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Hyung‐Sik Won

69 papers receiving 1.6k citations

Peers

Hyung‐Sik Won
Comparison fields: 5 of 117
  • Molecular Biology 1.1k
  • Microbiology 652
  • Immunology 245
  • Genetics 172
  • Organic Chemistry 147
Replace Il‐Seon Park with:
Il‐Seon Park South Korea
Xurui Cheng China
Daniel Knappe Germany
Fang-Yu Chen Taiwan
Nina M. Haste United States
Nelson C. Soares United Arab Emirates
Glenn E. Dale Switzerland
Min‐Duk Seo South Korea
Julien Rey France
Bart Hoorelbeke Belgium
Il‐Seon Park South Korea View profile →
Citations per field, relative to Hyung‐Sik Won
Hyung‐Sik Won · 1×
Citations per year, relative to Hyung‐Sik Won
Hyung‐Sik Won · 1×

Countries citing papers authored by Hyung‐Sik Won

Since Specialization
Citations

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

Fields of papers citing papers by Hyung‐Sik Won

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hyung‐Sik Won. 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 Hyung‐Sik Won. The network helps show where Hyung‐Sik Won may publish in the future.

Co-authorship network of co-authors of Hyung‐Sik Won

This figure shows the co-authorship network connecting the top 25 collaborators of Hyung‐Sik Won. A scholar is included among the top collaborators of Hyung‐Sik Won 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 Hyung‐Sik Won. Hyung‐Sik Won 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 0
3 0
4 0
5 3
6 4
7 3
8 9
9 6
10 6
11 129
12 36
13 10
14 5
15 1
16 4
17 50
18 33
19 17
20 19

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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