Su‐Chan Park

38 papers receiving 654 citations

Peers

Su‐Chan Park
Comparison fields: 5 of 63
  • Condensed Matter Physics 215
  • Mathematical Physics 153
  • Genetics 375
  • Virology 51
  • Statistical and Nonlinear Physics 92
Replace Paulo R. A. Campos with:
Paulo R. A. Campos Brazil
Jason Olejarz United States
Ivan G. Szendro Germany
Rita Maria Zorzenon dos Santos Brazil
S. Coutinho Brazil
Jeong-Man Park South Korea
Sebastián Risau-Gusman Argentina
Jun-ichi Wakita Japan
Marcelo Martins de Oliveira Brazil
Zongyun Chen China
Su‐Chan Park relative to Paulo R. A. Campos Brazil Paulo R. A. Campos's profile →
Citations per field
00.5×6.1×
Paulo R. A. Campos · 1×
Citations per year

Countries citing papers authored by Su‐Chan Park

Since Specialization
Citations

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

Fields of papers citing papers by Su‐Chan Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su‐Chan Park. 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 Su‐Chan Park. The network helps show where Su‐Chan Park may publish in the future.

Co-authors

The 17 scholars most cited alongside Su‐Chan Park, 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 Su‐Chan Park Line = papers co-authored together Su‐Chan Park links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007119
2 200994
3 200862
4 201062
5 201139
6 200125
7 200524
8 201720
9 200618
10 200715
11 200514
12 200014
13 201412
14 200910
15 200510
16 20029
17 20199
18 20169
19 20089
20 20089

About Su‐Chan Park

Su‐Chan Park is a scholar working on Condensed Matter Physics, Mathematical Physics, Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Genetics, having authored 43 papers that have together received 663 indexed citations. Recurring topics across this work include Theoretical and Computational Physics (32 papers), Stochastic processes and statistical mechanics (18 papers), Complex Network Analysis Techniques (10 papers), Material Dynamics and Properties (9 papers), Evolution and Genetic Dynamics (9 papers), Evolutionary Game Theory and Cooperation (8 papers), Mathematical and Theoretical Epidemiology and Ecology Models (7 papers) and Spectroscopy and Quantum Chemical Studies (5 papers). The work is most often cited by research in Condensed Matter Physics (215 citations), Mathematical Physics (153 citations), Genetics (375 citations), Virology (51 citations) and Statistical and Nonlinear Physics (92 citations). Su‐Chan Park has collaborated with scholars based in South Korea, Germany and United States. Frequent co-authors include Joachim Krug, Hyunggyu Park, J. Arjan G. M. de Visser, Jeong-Man Park, Damien Simon, Doochul Kim, Alan S. Perelson, Thomas Leitner, Ha Youn Lee and Kavita Jain. Their work appears in journals such as Physical review. E, Physical Review Letters, PLoS Computational Biology, Journal of Statistical Physics and The American Naturalist.

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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