Peter D. Kim

1.6k citations
15 papers · 555 · h-index 7

Impact in

  • Cell Biology top 10%
    • Cellular Mechanics and Interactions
    • Proteoglycans and glycosaminoglycans research
  • Biomaterials top 10%
    • Electrospun Nanofibers in Biomedical Applications

Papers in

    • Botulinum Toxin and Related Neurological Disorders 3
    • Bacterial Genetics and Biotechnology 4

Peter D. Kim

15 papers receiving 541 citations

Peers

Peter D. Kim
Comparison fields: 5 of 87
  • Cell Biology 208
  • Biomaterials 97
  • Equine 12
  • Molecular Medicine 33
  • Rheumatology 91
Replace M. Wiseman with:
M. Wiseman United Kingdom
Cynthia Secchieri Italy
Jacqueline Ross New Zealand
A.K. Wann United Kingdom
Hamish T. J. Gilbert United Kingdom
Wangping Duan China
Weihong Yi China
Zhengmeng Yang China
Jaime M. Cyphert United States
Masato S. Ota Japan
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Citations per field
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M. Wiseman · 1×
Citations per year

Countries citing papers authored by Peter D. Kim

Since Specialization
Citations

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

Fields of papers citing papers by Peter D. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Peter D. 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 Peter D. Kim Line = papers co-authored together Peter D. Kim links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2008181
2 2008180
3 1999118
4 200317
5 200917
6 20178
7 20006
8 20006
9 20095
10 20205
11 20005
12 20082
13 20132
14 20082
15 20121

About Peter D. Kim

Peter D. Kim is a scholar working on Neurology, Genetics, Biomedical Engineering, Surgery and Molecular Biology, having authored 15 papers that have together received 555 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (4 papers), Botulinum Toxin and Related Neurological Disorders (3 papers), Bacteriophages and microbial interactions (3 papers), 3D Printing in Biomedical Research (3 papers), Cellular Mechanics and Interactions (3 papers), Cerebral Palsy and Movement Disorders (3 papers), Antibiotic Resistance in Bacteria (2 papers) and Tendon Structure and Treatment (2 papers). The work is most often cited by research in Cell Biology (208 citations), Biomaterials (97 citations), Equine (12 citations), Molecular Medicine (33 citations) and Rheumatology (91 citations). Peter D. Kim has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Shelly R. Peyton, Andrew J. Putnam, Chirag Khatiwala, Cyrus M. Ghajar, Dror Seliktar, J C Mosure, Christopher T. Leffler, William Firshein, Daniel M. Lerman and Charles L. Truwit. Their work appears in journals such as Journal of Bacteriology, Biomaterials, Molecular Imaging and Biology, Journal of Bone and Mineral Research and PM&R.

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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