Seok Jin Kim

14.1k total citations · 1 hit paper
437 papers, 8.1k citations indexed

About

Seok Jin Kim is a scholar working on Pathology and Forensic Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Seok Jin Kim has authored 437 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 251 papers in Pathology and Forensic Medicine, 197 papers in Oncology and 83 papers in Molecular Biology. Recurrent topics in Seok Jin Kim's work include Lymphoma Diagnosis and Treatment (246 papers), Viral-associated cancers and disorders (96 papers) and CNS Lymphoma Diagnosis and Treatment (65 papers). Seok Jin Kim is often cited by papers focused on Lymphoma Diagnosis and Treatment (246 papers), Viral-associated cancers and disorders (96 papers) and CNS Lymphoma Diagnosis and Treatment (65 papers). Seok Jin Kim collaborates with scholars based in South Korea, United States and Japan. Seok Jin Kim's co-authors include Won Seog Kim, Young Hyeh Ko, Kihyun Kım, Cheolwon Suh, Sang Eun Yoon, Yok‐Lam Kwong, Jin Seok Kim, Eric Tse, Soon Thye Lim and Chul Won Choi and has published in prestigious journals such as Nature Genetics, Journal of Clinical Oncology and Blood.

In The Last Decade

Seok Jin Kim

416 papers receiving 8.0k citations

Hit Papers

PD1 blockade with pembrolizumab is highly effective in re... 2017 2026 2020 2023 2017 100 200 300

Peers

Seok Jin Kim
Comparison fields: 5 of 135
  • Pathology and Forensic Medicine 4.4k
  • Oncology 3.9k
  • Immunology 1.8k
  • Molecular Biology 1.5k
  • Genetics 1.2k
Replace Won Seog Kim with:
Won Seog Kim South Korea
Michael Crump Canada
Andrew Jack United Kingdom
Grzegorz S. Nowakowski United States
Hans Tesch Germany
Patrick J. Stiff United States
Olivier Casasnovas France
Brian K. Link United States
Markus Raderer Austria
Francesco Di Raimondo Italy
Won Seog Kim South Korea View profile →
Citations per field, relative to Seok Jin Kim
Seok Jin Kim · 1×
Citations per year, relative to Seok Jin Kim
Seok Jin Kim · 1×

Countries citing papers authored by Seok Jin Kim

Since Specialization
Citations

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

Fields of papers citing papers by Seok Jin Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seok Jin Kim

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 6
3 2
4 4
5 0
6 1
7 2
8 6
9 5
10 4
11 1
12 10
13 17
14 54
15 20
16 8
17 54
18 0
19
Rituximab Plus CHOP for the Treatment of Primary Mediastinal Large B Cell Lymphoma in a Pregnant Woman
2
20 33

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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