Frank Kim

402 citations
5 papers · 335 · h-index 3

Impact in

  • Genetics top 10%
    • Virus-based gene therapy research
    • RNA Interference and Gene Delivery
    • Viral Infectious Diseases and Gene Expression in Insects
    • CRISPR and Genetic Engineering

Papers in

Frank Kim

4 papers receiving 326 citations

Peers

Frank Kim
Comparison fields: 5 of 50
  • Genetics 270
  • Molecular Biology 236
  • Structural Biology 5
  • Animal Science and Zoology 31
  • Infectious Diseases 49
Replace Axel Rossi with:
Axel Rossi Germany
Zachary C. Elmore United States
Zahra Abbas Australia
Daniel K. Oh United States
Katherine E. Simon United States
Brenda Burnham United States
Christina Raupp Germany
William S. Stuart United States
Wenqin Ma United States
L. Patrick Havlik United States
Frank Kim relative to Axel Rossi Germany Axel Rossi's profile →
Citations per field
00.5×12×
Axel Rossi · 1×
Citations per year

Countries citing papers authored by Frank Kim

Since Specialization
Citations

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

Fields of papers citing papers by Frank Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Frank Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Frank Kim Line = papers co-authored together Frank Kim links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown

About Frank Kim

Frank Kim is a scholar working on Molecular Biology, Structural Biology, Cardiology and Cardiovascular Medicine, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics, having authored 5 papers that have together received 335 indexed citations. Recurring topics across this work include Diabetes Management and Research (1 paper), ATP Synthase and ATPases Research (1 paper), Viral Infections and Immunology Research (1 paper), Risk and Safety Analysis (1 paper), Advanced Electron Microscopy Techniques and Applications (1 paper), Herpesvirus Infections and Treatments (1 paper), Force Microscopy Techniques and Applications (1 paper) and Vehicle Routing Optimization Methods (1 paper). The work is most often cited by research in Genetics (270 citations), Molecular Biology (236 citations), Structural Biology (5 citations), Animal Science and Zoology (31 citations) and Infectious Diseases (49 citations). Frank Kim has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Linda Yang, John A. Chiorini, Robert M. Kotin, Piere Rodriguez-Aliaga, Luı́s Eduardo Ramı́rez, Carlos Bustamante, Andreas Martin, Philip Levin, Lois Jovanovič and Stuart A. Chalew. Their work appears in journals such as Journal of Virology, Clinical Pharmacology & Therapeutics, Nature Structural & Molecular Biology and AIAA SCITECH 2022 Forum.

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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