Peter Kim

5.8k total citations
206 papers, 3.9k citations indexed

About

Peter Kim is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Peter Kim has authored 206 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 31 papers in Genetics and 30 papers in Oncology. Recurrent topics in Peter Kim's work include Virus-based gene therapy research (18 papers), CAR-T cell therapy research (17 papers) and Immune Cell Function and Interaction (17 papers). Peter Kim is often cited by papers focused on Virus-based gene therapy research (18 papers), CAR-T cell therapy research (17 papers) and Immune Cell Function and Interaction (17 papers). Peter Kim collaborates with scholars based in United States, Australia and Canada. Peter Kim's co-authors include Peter P. Lee, Doron Levy, Kristen Hawkes, James E. Coxworth, Adrianne L. Jenner, Federico Frascoli, Chae‐Ok Yun, Gerard Sutton, Sonia N. Yeung and Adelle C.F. Coster and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Peter Kim

189 papers receiving 3.7k citations

Peers

Peter Kim
Comparison fields: 5 of 208
  • Molecular Biology 943
  • Immunology 687
  • Oncology 515
  • Genetics 487
  • Radiology, Nuclear Medicine and Imaging 421
Replace William Zhang with:
William Zhang Canada
Elie Dolgin United States
John Sharp United States
Thomas J. FitzGerald United States
Rebecca Lee United States
Margaret A. Miller United States
Frank Riedel Germany
Steven Friedman United States
Amy P.N. Skubitz United States
David Lee United States
William Zhang Canada View profile →
Citations per field, relative to Peter Kim
Peter Kim · 1×
Citations per year, relative to Peter Kim
Peter Kim · 1×

Countries citing papers authored by Peter Kim

Since Specialization
Citations

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

Fields of papers citing papers by Peter Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Kim. A scholar is included among the top collaborators of Peter 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 Peter Kim. Peter 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 1
3 1
4 0
5 0
6 3
7 7
8 12
9 5
10 26
11
Planning, Building and Insuring: adaptation of built environment to climate change induced increased intensity of natural hazards
19
12 65
13
The FDIC's Special Assessment: Basing Deposit Insurance on Assets Instead of Deposits
1
14 106
15 1
16 33
17 18
18 35
19 195
20
Antigen binding molecules : antibodies and T-cell receptors
4

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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