Junhee Seok

5.7k citations
80 papers · 4.7k · 2 hit papers · h-index 18

Impact in

Papers in

Junhee Seok

74 papers receiving 4.5k citations

Junhee Seok's Hit Papers

Genomic responses in mouse models poorly mimic human inflammatory diseases 2013 · 2.5k citations
2.5k0+5+10Years since publication5001k1.5k2k

Peers

Junhee Seok
Comparison fields: 5 of 167
  • Critical Care and Intensive Care Medicine 189
  • Immunology 664
  • Epidemiology 994
  • Small Animals 205
  • Biological Psychiatry 24
Replace Weihong Xu with:
Weihong Xu United States
Carol L. Miller‐Graziano United States
Bernard H. Brownstein United States
Steve E. Calvano United States
J. Perren Cobb United States
Rene Hany Tolba Germany
Matthijs Kox Netherlands
Janoš Terzić Croatia
Nima Aghaeepour United States
Alan Graham Pockley United Kingdom
Junhee Seok relative to Weihong Xu United States Weihong Xu's profile →
Citations per field
00.5×1.5×
Weihong Xu · 1×
Citations per year

Countries citing papers authored by Junhee Seok

Since Specialization
Citations

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

Fields of papers citing papers by Junhee Seok

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Junhee Seok. 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 Junhee Seok. The network helps show where Junhee Seok may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Genomic responses in mouse models poorly mimic human inflammatory diseases
Hit paper breakdown →
20132490
2
A genomic storm in critically injured humans
Hit paper breakdown →
2011950
3 2011105
4 2014103
5 2008102
6 201384
7 201472
8 201966
9 201840
10 201936
11 202036
12 200935
13 202033
14 202228
15 202322
16 201920
17 202220
18 201219
19 200918
20 202117

About Junhee Seok

Junhee Seok is a scholar working on Statistics and Probability, Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition and Transplantation, having authored 80 papers that have together received 4.7k indexed citations. Recurring topics across this work include Gene expression and cancer classification (13 papers), Bioinformatics and Genomic Networks (8 papers), Gene Regulatory Network Analysis (6 papers), Generative Adversarial Networks and Image Synthesis (6 papers), Statistical Methods and Inference (6 papers), Machine Learning in Materials Science (5 papers), Statistical Distribution Estimation and Applications (4 papers) and Stock Market Forecasting Methods (4 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (189 citations), Immunology (664 citations), Epidemiology (994 citations), Small Animals (205 citations) and Biological Psychiatry (24 citations). Junhee Seok has collaborated with scholars based in South Korea, United States and New Zealand. Frequent co-authors include Minhyeok Lee, Wenzhong Xiao, Ronald Wayne Davis, Michael N. Mindrinos, Lyle L. Moldawer, Weihong Xu, Ronald V. Maier, Ronald G. Tompkins, H. Shaw Warren and Stacey Champion. Their work appears in journals such as Scientific Reports, PLoS ONE, Bioinformatics, Proceedings of the National Academy of Sciences and Applied Soft Computing.

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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