Stephen P. Edgcomb

464 citations
9 papers · 388 · h-index 7

Impact in

  • Virology top 10%
    • HIV Research and Treatment
    • RNA Research and Splicing
    • Protein Structure and Dynamics
    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer

Papers in

    • RNA Research and Splicing 3
    • Protein Structure and Dynamics 3
    • RNA and protein synthesis mechanisms 3
    • RNA modifications and cancer 2
    • Heat shock proteins research 1
    • HIV Research and Treatment 4

Stephen P. Edgcomb

9 papers receiving 381 citations

Peers

Stephen P. Edgcomb
Comparison fields: 5 of 71
  • Virology 73
  • Molecular Biology 296
  • Physical and Theoretical Chemistry 21
  • Immunology 44
  • Infectious Diseases 34
Replace Michael Petukhov with:
Michael Petukhov Russia
Eva S. Cobos Spain
Shoucheng Du United States
T. Veit Germany
Ricardo L. A. Dias Switzerland
David F. Green United States
Joseph D. Walsh United States
Abdessamad Ababou United Kingdom
Thomas P. Moody United States
Stephen P. Edgcomb relative to Michael Petukhov Russia Michael Petukhov's profile →
Citations per field
00.5×1.5×
Michael Petukhov · 1×
Citations per year

Countries citing papers authored by Stephen P. Edgcomb

Since Specialization
Citations

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

Fields of papers citing papers by Stephen P. Edgcomb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen P. Edgcomb. 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 Stephen P. Edgcomb. The network helps show where Stephen P. Edgcomb may publish in the future.

Co-authors

The 18 scholars most cited alongside Stephen P. Edgcomb, 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 Stephen P. Edgcomb Line = papers co-authored together Stephen P. Edgcomb links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2002174
2 201157
3 200047
4 201144
5 200831
6 200317
7 200012
8 20113
9 19993

About Stephen P. Edgcomb

Stephen P. Edgcomb is a scholar working on Molecular Biology, Virology, Physical and Theoretical Chemistry, Materials Chemistry and Genetics, having authored 9 papers that have together received 388 indexed citations. Recurring topics across this work include HIV Research and Treatment (4 papers), RNA Research and Splicing (3 papers), Enzyme Structure and Function (3 papers), Protein Structure and Dynamics (3 papers), RNA and protein synthesis mechanisms (3 papers), thermodynamics and calorimetric analyses (3 papers), RNA modifications and cancer (2 papers) and Heat shock proteins research (1 paper). The work is most often cited by research in Virology (73 citations), Molecular Biology (296 citations), Physical and Theoretical Chemistry (21 citations), Immunology (44 citations) and Infectious Diseases (34 citations). Stephen P. Edgcomb has collaborated with scholars based in United States. Frequent co-authors include Kenneth P. Murphy, James R. Williamson, Larry Gerace, Andrew C. S. Saphire, Souad Naji, Jun Wang, Rae M. Robertson‐Anderson, David P. Millar, Armaz Aschrafi and M. Hennig. Their work appears in journals such as Journal of Molecular Biology, Protein Science, Current Opinion in Biotechnology, Pure and Applied Chemistry and Virology.

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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