James Fishburn

920 citations
12 papers · 646 · h-index 10

Impact in

    • Genomics and Chromatin Dynamics
    • RNA Research and Splicing
    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • Fungal and yeast genetics research
    • DNA Repair Mechanisms
    • Ubiquitin and proteasome pathways

Papers in

    • Genomics and Chromatin Dynamics 6
    • RNA Research and Splicing 4
    • DNA Repair Mechanisms 3
    • Fungal and yeast genetics research 3
    • RNA modifications and cancer 2
    • DNA and Nucleic Acid Chemistry 2
    • RNA and protein synthesis mechanisms 2
    • CRISPR and Genetic Engineering 1

James Fishburn

12 papers receiving 635 citations

Peers

James Fishburn
Comparison fields: 5 of 53
  • Molecular Biology 589
  • Aging 7
  • Cell Biology 36
  • Structural Biology 3
  • Genetics 46
Replace Derek Pacheco with:
Derek Pacheco United States
Upasana Roy United States
Nathan I. Gamarra United States
Olga Kolesnikova France
Ariel Erijman Israel
Mincheng Zhang United States
Maksym Tsytlonok United Kingdom
Benjamin M. Foster United Kingdom
Sunbin Liu Germany
Ganesh H. Iyer United States
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Citations per field
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Citations per year

Countries citing papers authored by James Fishburn

Since Specialization
Citations

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

Fields of papers citing papers by James Fishburn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2004147
2 2015102
3 200588
4 202083
5 201072
6 201142
7 201137
8 201734
9 201618
10 202110
11 20209
12 20254

About James Fishburn

James Fishburn is a scholar working on Molecular Biology, Cancer Research, Cell Biology, Spectroscopy and Immunology, having authored 12 papers that have together received 646 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (6 papers), RNA Research and Splicing (4 papers), DNA Repair Mechanisms (3 papers), Fungal and yeast genetics research (3 papers), RNA modifications and cancer (2 papers), DNA and Nucleic Acid Chemistry (2 papers), RNA and protein synthesis mechanisms (2 papers) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Molecular Biology (589 citations), Aging (7 citations), Cell Biology (36 citations), Structural Biology (3 citations) and Genetics (46 citations). James Fishburn has collaborated with scholars based in United States, Germany and South Africa. Frequent co-authors include Steven Hahn, Eric A. Galburt, Eric J. Tomko, Neeman Mohibullah, Charles K.-H. Kung, Ying Liu, Aseem Z. Ansari, Kevan M. Shokat, Linda Warfield and Jacob Matthew Schreiber. Their work appears in journals such as Molecular and Cellular Biology, Molecular Cell, Journal of Molecular Biology, Journal of Biological Chemistry and Molecular & Cellular Proteomics.

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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