Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
The human disease network
20072.3k citationsK.-I. Goh, Michael E. Cusick et al.Proceedings of the National Academy of Sciencesprofile →
Drug—target network
20071.3k citationsK.-I. Goh, Michael E. Cusick et al.profile →
Universal Behavior of Load Distribution in Scale-Free Networks
2001893 citationsK.-I. Goh, B. Kahng et al.Physical Review Lettersprofile →
Modeling bursts and heavy tails in human dynamics
2006465 citationsAlexei Vázquez, K.-I. Goh et al.Physical Review Eprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
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).
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-authorship network of co-authors of K.-I. Goh
This figure shows the co-authorship network connecting the top 25 collaborators of K.-I. Goh.
A scholar is included among the top collaborators of K.-I. Goh 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 K.-I. Goh. K.-I. Goh is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Goh, K.-I., et al.. (2022). No-exclaves percolation. Journal of the Korean Physical Society. 81(7). 680–687.1 indexed citations
6.
Goh, K.-I., et al.. (2018). Dynamics of consensus formation on multiplex networks: The majority-vote model. Bulletin of the American Physical Society. 2018.1 indexed citations
7.
Brummitt, Charles D., et al.. (2014). Slowed yet explosive global cascades driven by response heterogeneity in multiplex networks. arXiv (Cornell University).1 indexed citations
8.
Min, Byungjoon, et al.. (2013). Network robustness of correlated multiplex networks.. arXiv (Cornell University).3 indexed citations
9.
Goh, K.-I., et al.. (2011). Correlated multiplexity induces unusual connectivity in multiplex random networks. arXiv (Cornell University).1 indexed citations
10.
Min, Byungjoon, K.-I. Goh, & Alexei Vázquez. (2010). Spreading Dynamics Following Human Activity Patterns. arXiv (Cornell University).1 indexed citations
11.
Goh, K.-I., et al.. (2010). Correlated couplings and robustness of coupled networks. APS March Meeting Abstracts. 2011.1 indexed citations
Goh, K.-I., Michael E. Cusick, David Valle, et al.. (2007). The human disease network. Proceedings of the National Academy of Sciences. 104(21). 8685–8690.2301 indexed citations breakdown →
Goh, K.-I., et al.. (2005). Evolution of the protein interaction network of budding yeast: Role of the protein family compatibility constraint. Journal of the Korean Physical Society. 46(2). 551–555.9 indexed citations
16.
Kahng, B., et al.. (2005). Avalanche dynamics in complex networks. Bulletin of the American Physical Society.1 indexed citations
Goh, K.-I., Jae Dong Noh, B. Kahng, & Doyeon Kim. (2004). Optimal transport in weighted complex networks. arXiv (Cornell University).2 indexed citations
20.
Goh, K.-I., et al.. (2003). Hybrid network model: the protein and the protein family interaction networks. arXiv (Cornell University).2 indexed citations
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.