K.-I. Goh

78 papers receiving 8.6k citations

K.-I. Goh's Hit Papers

Drug—target network 2007 · 1.4k citations
1.4k0+8+16Years since publication50010001.5k2.0k

Peers

K.-I. Goh
Comparison fields: 5 of 207
  • Statistical and Nonlinear Physics 3.8k
  • Computational Theory and Mathematics 1.4k
  • Molecular Biology 3.5k
  • Computer Networks and Communications 963
  • Transportation 262
Replace Alexei Vázquez with:
Alexei Vázquez United States
Imre Derényi Hungary
Shuigeng Zhou China
Gergely Palla Hungary
Maksim Kitsak United States
Zoltán N. Oltvai United States
Illés J. Farkas Hungary
Yi‐Cheng Zhang Switzerland
Rosario N. Mantegna Italy
M. Ángeles Serrano Spain
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Citations per field
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Citations per year

Countries citing papers authored by K.-I. Goh

Since Specialization
Citations

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

Fields of papers citing papers by K.-I. Goh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K.-I. Goh. 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 K.-I. Goh. The network helps show where K.-I. Goh may publish in the future.

Co-authors

The 25 scholars most cited alongside K.-I. Goh, 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 K.-I. Goh Line = papers co-authored together K.-I. Goh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The human disease network
Hit paper breakdown →
20072497
2
Drug—target network
Hit paper breakdown →
20071415
3
Universal Behavior of Load Distribution in Scale-Free Networks
Hit paper breakdown →
2001950
4
Modeling bursts and heavy tails in human dynamics
Hit paper breakdown →
2006501
5 2008374
6 2002284
7 2003248
8 2003203
9 2006189
10 2014184
11 2001159
12 2012150
13 2002113
14 2007111
15 2012111
16 2013103
17 201196
18 201189
19 201482
20 200777

About K.-I. Goh

K.-I. Goh is a scholar working on Statistical and Nonlinear Physics, Condensed Matter Physics, Molecular Biology, Mathematical Physics and Computer Networks and Communications, having authored 78 papers that have together received 8.9k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (65 papers), Opinion Dynamics and Social Influence (43 papers), Theoretical and Computational Physics (17 papers), Stochastic processes and statistical mechanics (11 papers), Bioinformatics and Genomic Networks (10 papers), Gene Regulatory Network Analysis (7 papers), Complex Systems and Time Series Analysis (7 papers) and Evolutionary Game Theory and Cooperation (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (3.8k citations), Computational Theory and Mathematics (1.4k citations), Molecular Biology (3.5k citations), Computer Networks and Communications (963 citations) and Transportation (262 citations). K.-I. Goh has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Albert-László Barabási, B. Kahng, Marc Vidal, Michael E. Cusick, D. Kim, David Valle, Barton Childs, Muhammed A. Yıldırım, Eunsoon Oh and Byungjoon Min. Their work appears in journals such as Physical Review Letters, Physica A Statistical Mechanics and its Applications, Chaos Solitons & Fractals, Chaos An Interdisciplinary Journal of Nonlinear Science and Physical review. E.

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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