Kevin B. Kim

21.3k citations
116 papers · 8.2k indexed · 3 hit papers · h-index 38
Topics
Melanoma and MAPK Pathways (66 papers)Cutaneous Melanoma Detection and Management (50 papers)CAR-T cell therapy research (26 papers)

In The Last Decade

Kevin B. Kim

111 papers receiving 8.1k citations

Hit Papers

Inhibition of Mutated, Activated BRAF in Metastatic Melanoma201020262015202020102012201150010001.5k2.0k2.5k

Peers

Kevin B. Kim
Comparison fields: 5 of 121
  • Molecular Biology 5.4k
  • Oncology 5.1k
  • Pulmonary and Respiratory Medicine 1.5k
  • Immunology 1.0k
  • Cancer Research 970
Replace Lauren E. Haydu with:
Lauren E. Haydu Australia
Ana Arance Spain
Alexander M. Menzies Australia
Jeffrey R. Infante United States
Matteo S. Carlino Australia
Marcia S. Brose United States
Vanna Chiarion‐Sileni Italy
Steven O’Day United States
Barry S. Taylor United States
Mathew J. Garnett United Kingdom
Kevin B. Kim relative to Lauren E. Haydu Australia Lauren E. Haydu's profile →
Citations per field
00.5×1.5×2.0×
Lauren E. Haydu · 1×
Citations per year

Countries citing papers authored by Kevin B. Kim

Since Specialization
Citations

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

Fields of papers citing papers by Kevin B. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin B. Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin B. Kim. A scholar is included among the top collaborators of Kevin B. 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 Kevin B. Kim. Kevin B. 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
#WorkIndexed citations
1 1
2 2
3 5
4 50
5 0
6 10
7 12
8 8
9 37
10 14
11 6
12 34
13 57
14 338
15 39
16 356
17 100
18 148
19 53
20 141

About Kevin B. Kim

Kevin B. Kim is a scholar working on Oncology, Molecular Biology and Hematology, having authored 116 papers that have together received 8.2k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (66 papers), Cutaneous Melanoma Detection and Management (50 papers) and CAR-T cell therapy research (26 papers). The work is most often cited by research in Oncology (5.1k citations), Molecular Biology (5.4k citations) and Cancer Research (970 citations). Kevin B. Kim has collaborated with scholars based in United States, Australia and Switzerland. Frequent co-authors include Antoni Ribas, Jeffrey A. Sosman, Grant A. McArthur, K. B. Nolop, Richard J. Lee, Keith T. Flaherty, Igor Puzanov, Paul B. Chapman, Joseph F. Grippo and Peter J. O’Dwyer. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.

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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