Peter B. Kang

9.4k citations
143 papers · 3.9k · h-index 32

Impact in

  • Genetics top 2%
    • Neurogenetic and Muscular Disorders Research
    • MicroRNA in disease regulation

Papers in

    • Muscle Physiology and Disorders 44
    • RNA Research and Splicing 13
    • RNA modifications and cancer 8
    • Neurogenetic and Muscular Disorders Research 23
    • Genetics and Neurodevelopmental Disorders 9

Peter B. Kang

130 papers receiving 3.8k citations

Peers

Peter B. Kang
Comparison fields: 5 of 144
  • Genetics 371
  • Cancer Research 398
  • Molecular Biology 1.9k
  • Neurology 362
  • Infectious Diseases 378
Replace Amos Toren with:
Amos Toren Israel
Noa Alon Canada
John Choi United States
Frederik Dagnæs‐Hansen Denmark
Elizabeth Gray United Kingdom
Ian E. Alexander Australia
Annette Draeger Switzerland
Michal Mokrý Netherlands
Cécile V. Denis France
Maurizio Scarpa Italy
Peter B. Kang relative to Amos Toren Israel Amos Toren's profile →
Citations per field
00.5×2.9×
Amos Toren · 1×
Citations per year

Countries citing papers authored by Peter B. Kang

Since Specialization
Citations

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

Fields of papers citing papers by Peter B. Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 143 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007408
2 2005395
3 1997175
4 1996174
5 2013124
6 2014119
7 201996
8 200989
9 200884
10 201381
11 201181
12 201571
13 200669
14 201662
15 201459
16 201058
17 201258
18 201458
19 201857
20 200856

About Peter B. Kang

Peter B. Kang is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Neurology and Physiology, having authored 143 papers that have together received 3.9k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (44 papers), Neurogenetic and Muscular Disorders Research (23 papers), Genetic Neurodegenerative Diseases (15 papers), RNA Research and Splicing (13 papers), Myasthenia Gravis and Thymoma (11 papers), Cardiomyopathy and Myosin Studies (10 papers), Genetics and Neurodevelopmental Disorders (9 papers) and RNA modifications and cancer (8 papers). The work is most often cited by research in Genetics (371 citations), Cancer Research (398 citations), Molecular Biology (1.9k citations), Neurology (362 citations) and Infectious Diseases (378 citations). Peter B. Kang has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Basil T. Darras, Louis M. Kunkel, Larry S. Schlesinger, Abul Azad, William M. Steinberg, David M. Parenti, Satomi Mitsuhashi, Thomas M. Kaufman, Jordi B. Torrelles and Iris Eisenberg. Their work appears in journals such as Muscle & Nerve, Neuromuscular Disorders, Neurology, Pediatric Neurology and Journal of Child Neurology.

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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