Won-Seog Kim

1.4k citations
8 papers · 796 indexed · 1 hit paper · h-index 6
Topics
Lymphoma Diagnosis and Treatment (7 papers)Viral-associated cancers and disorders (2 papers)CAR-T cell therapy research (2 papers)

In The Last Decade

Won-Seog Kim

8 papers receiving 784 citations

Hit Papers

Clinical differences between nasal and extranasal natural...20082026201420202008100200300400500

Peers

Won-Seog Kim
Comparison fields: 5 of 47
  • Pathology and Forensic Medicine 696
  • Oncology 580
  • Immunology 250
  • Dermatology 118
  • Neurology 118
Replace Wing-Yan Au with:
Wing-Yan Au China
Won-Seog Kim South Korea
Tiffany Tang Singapore
Qun‐pei Yang China
Patrizia Albertini Italy
V.C. Sin China
Roger KC Ngan China
Vanessa Szablewski France
Xin-Fan Liu China
R Giardini Italy
Won-Seog Kim relative to Wing-Yan Au China Wing-Yan Au's profile →
Citations per field
00.5×2.8×
Wing-Yan Au · 1×
Citations per year

Countries citing papers authored by Won-Seog Kim

Since Specialization
Citations

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

Fields of papers citing papers by Won-Seog Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Won-Seog Kim. 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 Won-Seog Kim. The network helps show where Won-Seog Kim may publish in the future.

Co-authorship network of co-authors of Won-Seog Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Won-Seog Kim. A scholar is included among the top collaborators of Won-Seog Kim 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 Won-Seog Kim. Won-Seog Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1 3
2 1
3 60
4 148
5 32
6 5
7 9
8
Clinical differences between nasal and extranasal natural killer/T-cell lymphoma: a study of 136 cases from the International Peripheral T-Cell Lymphoma Projectbreakdown →
538

About Won-Seog Kim

Won-Seog Kim is a scholar working on Pathology and Forensic Medicine, Dermatology and Oncology, having authored 8 papers that have together received 796 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (7 papers), Viral-associated cancers and disorders (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (696 citations), Oncology (580 citations) and Dermatology (118 citations). Won-Seog Kim has collaborated with scholars based in South Korea, United States and Spain. Frequent co-authors include Julie M. Vose, Tanin Intragumtornchai, Jamés O. Armitage, Shigeo Nakamura, Ivy Sng, Dennis D. Weisenburger, Wing-Yan Au, Raymond Liang, John Radford and Qiming Liao. Their work appears in journals such as Journal of Clinical Oncology, Blood and Oncotarget.

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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