Peter S. Kim

35.3k total citations · 15 hit papers
176 papers, 26.9k citations indexed

About

Peter S. Kim is a scholar working on Molecular Biology, Virology and Infectious Diseases. According to data from OpenAlex, Peter S. Kim has authored 176 papers receiving a total of 26.9k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Molecular Biology, 37 papers in Virology and 36 papers in Infectious Diseases. Recurrent topics in Peter S. Kim's work include Protein Structure and Dynamics (48 papers), HIV Research and Treatment (37 papers) and RNA and protein synthesis mechanisms (34 papers). Peter S. Kim is often cited by papers focused on Protein Structure and Dynamics (48 papers), HIV Research and Treatment (37 papers) and RNA and protein synthesis mechanisms (34 papers). Peter S. Kim collaborates with scholars based in United States, Canada and Australia. Peter S. Kim's co-authors include David C. Chan, Erin K. O’Shea, Robert L. Baldwin, Tom Alber, Debra M. Eckert, Daniel L. Minor, Deborah Fass, Pehr B. Harbury, Chavela M. Carr and James M. Berger and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Peter S. Kim

172 papers receiving 26.3k citations

Hit Papers

Core Structure of gp41 from the HIV Envelope Glycoprotein 1987 2026 2000 2013 1997 1993 1991 2001 1998 500 1000 1.5k

Peers

Peter S. Kim
Comparison fields: 5 of 177
  • Molecular Biology 17.7k
  • Virology 5.6k
  • Infectious Diseases 4.5k
  • Materials Chemistry 4.1k
  • Epidemiology 3.0k
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Citations per field, relative to Peter S. Kim
Peter S. Kim · 1×
Citations per year, relative to Peter S. Kim
Peter S. Kim · 1×

Countries citing papers authored by Peter S. Kim

Since Specialization
Citations

This map shows the geographic impact of Peter S. 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 S. 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 S. Kim more than expected).

Fields of papers citing papers by Peter S. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter S. Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Peter S. Kim. A scholar is included among the top collaborators of Peter S. 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 S. Kim. Peter S. 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 21
3
Unsupervised evolution of protein and antibody complexes with a structure-informed language model breakdown →
53
4 54
5
Efficient evolution of human antibodies from general protein language models breakdown →
205
6 9
7 13
8 13
9 15
10 17
11 34
12 51
13 40
14 53
15 16
16 23
17
Mechanisms of Viral Membrane Fusion and Its Inhibition breakdown →
1086
18
Protein folding mechanisms
5
19
HIV Entry and Its Inhibition breakdown →
1022
20
High Density Fetmos Eeprom Cell Using ONO Inter-Polysilicon Dielectrics
3

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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