Se Won Suh

7.3k total citations
196 papers, 5.7k citations indexed

About

Se Won Suh is a scholar working on Molecular Biology, Materials Chemistry and Biotechnology. According to data from OpenAlex, Se Won Suh has authored 196 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 145 papers in Molecular Biology, 84 papers in Materials Chemistry and 25 papers in Biotechnology. Recurrent topics in Se Won Suh's work include Enzyme Structure and Function (80 papers), Biochemical and Molecular Research (23 papers) and RNA and protein synthesis mechanisms (23 papers). Se Won Suh is often cited by papers focused on Enzyme Structure and Function (80 papers), Biochemical and Molecular Research (23 papers) and RNA and protein synthesis mechanisms (23 papers). Se Won Suh collaborates with scholars based in South Korea, United States and Japan. Se Won Suh's co-authors include Hyun Kyu Song, Kwang Yeon Hwang, Jae Young Lee, Myoung Soo Kim, Dong Hae Shin, Soo Hyun Eom, Byung Il Lee, Kyeong Kyu Kim, Jinho Moon and Kyeongsik Min and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Se Won Suh

195 papers receiving 5.6k citations

Peers

Se Won Suh
Comparison fields: 5 of 139
  • Molecular Biology 4.2k
  • Materials Chemistry 906
  • Plant Science 650
  • Genetics 496
  • Biotechnology 494
Replace Herman van Tilbeurgh with:
Herman van Tilbeurgh France
Ralf Ficner Germany
Hauke Lilie Germany
J. Michael Word United States
Marat Mustyakimov United States
Simon E. V. Phillips United Kingdom
Gerald R. Grimsley United States
Pavol Skubák Netherlands
Kyeong Kyu Kim South Korea
Christine Ebel France
Herman van Tilbeurgh France View profile →
Citations per field, relative to Se Won Suh
Se Won Suh · 1×
Citations per year, relative to Se Won Suh
Se Won Suh · 1×

Countries citing papers authored by Se Won Suh

Since Specialization
Citations

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

Fields of papers citing papers by Se Won Suh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Se Won Suh

This figure shows the co-authorship network connecting the top 25 collaborators of Se Won Suh. A scholar is included among the top collaborators of Se Won Suh 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 Se Won Suh. Se Won Suh 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 24
2 23
3 45
4 28
5 5
6 2
7 1
8 40
9 4
10 179
11
Nucleotide Insertion Fidelity of Human Hepatitis B Viral Polymerase
3
12 2
13 63
14 1
15 205
16 290
17 43
18 24
19 9
20 5

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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