Deok‐Sun Lee

3.2k citations
72 papers · 2.0k · h-index 20

Impact in

Papers in

    • Complex Network Analysis Techniques 27
    • Opinion Dynamics and Social Influence 16
    • Bioinformatics and Genomic Networks 6
    • Gene Regulatory Network Analysis 6
    • Microbial Metabolic Engineering and Bioproduction 6

Deok‐Sun Lee

69 papers receiving 2.0k citations

Peers

Deok‐Sun Lee
Comparison fields: 5 of 157
  • Statistical and Nonlinear Physics 588
  • Condensed Matter Physics 222
  • Mathematical Physics 139
  • Modeling and Simulation 65
  • Computational Theory and Mathematics 195
Replace Kevin E. Bassler with:
Kevin E. Bassler United States
Elena Agliari Italy
Shlomi Reuveni Israel
Eivind Almaas Norway
Bartłomiej Waclaw United Kingdom
Timotéo Carletti Belgium
Kazuhiro Matsuo Japan
Davide Cassi Italy
Lin Yuan China
Stephan A. van Gils Netherlands
Deok‐Sun Lee relative to Kevin E. Bassler United States Kevin E. Bassler's profile →
Citations per field
00.5×2.7×
Kevin E. Bassler · 1×
Citations per year

Countries citing papers authored by Deok‐Sun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Deok‐Sun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deok‐Sun Lee. 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 Deok‐Sun Lee. The network helps show where Deok‐Sun Lee may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008357
2 2003193
3 2009192
4 2009118
5 2005102
6 199892
7 201088
8 201286
9 202184
10 200665
11 200456
12 200453
13
Transient prolonged stunning induced by dipyridamole and shown on 1- and 24-hour poststress 99mTc-MIBI gated SPECT.
200044
14 201230
15 200929
16 199929
17 200725
18 201224
19 198723
20 201222

About Deok‐Sun Lee

Deok‐Sun Lee is a scholar working on Statistical and Nonlinear Physics, Molecular Biology, Condensed Matter Physics, Genetics and Mathematical Physics, having authored 72 papers that have together received 2.0k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (27 papers), Theoretical and Computational Physics (17 papers), Opinion Dynamics and Social Influence (16 papers), Stochastic processes and statistical mechanics (8 papers), Plant and animal studies (6 papers), Bioinformatics and Genomic Networks (6 papers), Gene Regulatory Network Analysis (6 papers) and Microbial Metabolic Engineering and Bioproduction (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (588 citations), Condensed Matter Physics (222 citations), Mathematical Physics (139 citations), Modeling and Simulation (65 citations) and Computational Theory and Mathematics (195 citations). Deok‐Sun Lee has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include B. Kahng, Albert-László Barabási, Nicholas A. Christakis, K.-I. Goh, Zoltán N. Oltvai, D. Kim, J. Park, Juyong Park, Sungmin Hwang and Heiko Rieger. Their work appears in journals such as Physical review. E, Physical Review Letters, Proceedings of the National Academy of Sciences, Gene Therapy and Physica A Statistical Mechanics and its Applications.

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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