James Byrnes

633 citations
20 papers · 431 · h-index 8

Impact in

    • Advanced biosensing and bioanalysis techniques
    • RNA Interference and Gene Delivery
    • DNA and Nucleic Acid Chemistry
    • RNA and protein synthesis mechanisms
    • Antimicrobial Peptides and Activities

Papers in

    • Protein Structure and Dynamics 4
    • Advanced biosensing and bioanalysis techniques 3
    • RNA Interference and Gene Delivery 2
    • Photosynthetic Processes and Mechanisms 2
    • DNA and Nucleic Acid Chemistry 2
    • Enzyme Structure and Function 6
    • Machine Learning in Materials Science 2

James Byrnes

16 papers receiving 428 citations

Peers

James Byrnes
Comparison fields: 5 of 83
  • Molecular Biology 294
  • Microbiology 21
  • Biomaterials 29
  • Structural Biology 3
  • Aging 3
Replace Phuong Le with:
Phuong Le United States
Iren Wang Taiwan
Sandeep K. Misra United States
Nao Yamakawa France
Heiko Andresen Germany
Yunxin Xue China
Bo Shiun Lai China
Johanna M. Leenhouts Netherlands
Carolina Adura United States
Л. В. Генинг Russia
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Citations per field
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Phuong Le · 1×
Citations per year

Countries citing papers authored by James Byrnes

Since Specialization
Citations

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

Fields of papers citing papers by James Byrnes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2019137
2 2020107
3 202144
4 202043
5 202122
6 202018
7 202217
8 202416
9 20257
10 20246
11 20254
12 20244
13 20233
14 20221
15 20241
16 20251
17 20250
18 20240
19 20210
20 20240

About James Byrnes

James Byrnes is a scholar working on Molecular Biology, Materials Chemistry, Ecology, Biomaterials and Biophysics, having authored 20 papers that have together received 431 indexed citations. Recurring topics across this work include Enzyme Structure and Function (6 papers), Protein Structure and Dynamics (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), Bacteriophages and microbial interactions (3 papers), RNA Interference and Gene Delivery (2 papers), Photosynthetic Processes and Mechanisms (2 papers), DNA and Nucleic Acid Chemistry (2 papers) and Machine Learning in Materials Science (2 papers). The work is most often cited by research in Molecular Biology (294 citations), Microbiology (21 citations), Biomaterials (29 citations), Structural Biology (3 citations) and Aging (3 citations). James Byrnes has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Seán McSweeney, David G. Christensen, Birgit Schilling, Xueshu Xie, Alan J. Wolfe, Nathan Basisty, Lin Yang, Oleg Gang, Shih‐Ting Wang and Shirish Chodankar. Their work appears in journals such as Nature Communications, Proceedings of the National Academy of Sciences, Journal of Synchrotron Radiation, Chemical Science and Cell Reports.

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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