James H. Ahn

941 citations
8 papers · 542 · h-index 7

Impact in

  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms
  • Genetics top 10%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

James H. Ahn

8 papers receiving 534 citations

Peers

James H. Ahn
Comparison fields: 5 of 65
  • Aging 67
  • Genetics 87
  • Molecular Biology 395
  • Hematology 55
  • Computational Theory and Mathematics 65
Replace Anastasia R. Goloudina with:
Anastasia R. Goloudina France
Kathrin Laaß Germany
Celia Sigua United States
Byung Seon Chung South Korea
David J. Malwitz United States
Roberto Dal Zuffo Italy
Eliza C. Small United States
Sumit Deswal Germany
Changyong Wei United States
Mike Firth United Kingdom
James H. Ahn relative to Anastasia R. Goloudina France Anastasia R. Goloudina's profile →
Citations per field
00.5×7.9×
Anastasia R. Goloudina · 1×
Citations per year

Countries citing papers authored by James H. Ahn

Since Specialization
Citations

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

Fields of papers citing papers by James H. Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James H. Ahn. 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 James H. Ahn. The network helps show where James H. Ahn may publish in the future.

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2009252
2 2010143
3 200645
4 200542
5 201141
6 199810
7 20206
8 20103

About James H. Ahn

James H. Ahn is a scholar working on Molecular Biology, Computational Theory and Mathematics, Aging, Surgery and Genetics, having authored 8 papers that have together received 542 indexed citations. Recurring topics across this work include Heat shock proteins research (4 papers), Computational Drug Discovery Methods (3 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), CRISPR and Genetic Engineering (2 papers), Enzyme Structure and Function (1 paper), Urological Disorders and Treatments (1 paper), Protein Structure and Dynamics (1 paper) and Photosynthetic Processes and Mechanisms (1 paper). The work is most often cited by research in Aging (67 citations), Genetics (87 citations), Molecular Biology (395 citations), Hematology (55 citations) and Computational Theory and Mathematics (65 citations). James H. Ahn has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Gabriela Chiosis, Anna Rodina, Tony Taldone, Eloisi Caldas-Lopes, Kamalika Moulick, Roumen Voutev, E. Jane Albert Hubbard, Darrell J. Killian, Nian Wu and Julie R. White. Their work appears in journals such as Assay and Drug Development Technologies, Genetics, Journal of Clinical Investigation, Nucleic Acids Research and Developmental Biology.

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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