Devon Sheppard

1.2k citations
22 papers · 737 · h-index 15

Impact in

Papers in

    • Protein Structure and Dynamics 6
    • Developmental Biology and Gene Regulation 3
    • RNA Research and Splicing 2
    • Molecular spectroscopy and chirality 4
    • Advanced NMR Techniques and Applications 2

Devon Sheppard

22 papers receiving 734 citations

Peers

Devon Sheppard
Comparison fields: 5 of 102
  • Spectroscopy 111
  • Immunology 137
  • Molecular Biology 434
  • Biophysics 24
  • Immunology and Allergy 22
Replace Irina Pozdnyakova with:
Irina Pozdnyakova United States
L. Böhm South Africa
Róbert L. Katona Hungary
Christian Beck Germany
Neidhard Paweletz Germany
Lasse Gaarde Falkenby Denmark
David Piwnica-Worms United States
John Kirkpatrick United Kingdom
Simon Davis United Kingdom
Gozde Kar United Kingdom
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Citations per field
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Irina Pozdnyakova · 1×
Citations per year

Countries citing papers authored by Devon Sheppard

Since Specialization
Citations

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

Fields of papers citing papers by Devon Sheppard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012146
2 201487
3 201686
4 200956
5 200546
6 199239
7 200939
8 201338
9 201931
10 201628
11 200925
12 201022
13 200921
14 202120
15 199619
16 202014
17 20239
18 20243
19 20093
20 20023

About Devon Sheppard

Devon Sheppard is a scholar working on Molecular Biology, Spectroscopy, Materials Chemistry, Artificial Intelligence and Public Health, Environmental and Occupational Health, having authored 22 papers that have together received 737 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (6 papers), Molecular spectroscopy and chirality (4 papers), Enzyme Structure and Function (3 papers), Developmental Biology and Gene Regulation (3 papers), Advanced NMR Techniques and Applications (2 papers), RNA Research and Splicing (2 papers), Streptococcal Infections and Treatments (2 papers) and Geochemistry and Geologic Mapping (2 papers). The work is most often cited by research in Spectroscopy (111 citations), Immunology (137 citations), Molecular Biology (434 citations), Biophysics (24 citations) and Immunology and Allergy (22 citations). Devon Sheppard has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Susan M. Lea, Penny A. Handford, Chandramouli Chillakuri, Vitali Tugarinov, Remco Sprangers, Paul Taylor, Chenyun Guo, Rafael Brüschweiler, Dawei Li and Robert S. Haltiwanger. Their work appears in journals such as Journal of the American Chemical Society, Proceedings of the National Academy of Sciences, Molecular Cancer Therapeutics, Journal of Magnetic Resonance and Journal of Biomolecular NMR.

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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