Jeffrey M. Boyd

20.5k citations
88 papers · 2.5k indexed · h-index 30

Jeffrey M. Boyd

83 papers receiving 2.4k citations

Peers

Jeffrey M. Boyd
Comparison fields: 5 of 122
  • Infectious Diseases 566
  • Renewable Energy, Sustainability and the Environment 433
  • Molecular Biology 1.5k
  • Microbiology 123
  • Molecular Medicine 94
Replace Jin‐Won Lee with:
Jin‐Won Lee South Korea
Mohammad Saeid Hejazi Iran
Marcus Miethke Germany
Anke Henne Germany
Robert J. Maier United States
Soojin Jang South Korea
Mark R. O’Brian United States
Tim W. Overton United Kingdom
Danièle Touati France
Thomas Brüser Germany
Jeffrey M. Boyd relative to Jin‐Won Lee South Korea Jin‐Won Lee's profile →
Citations per field
00.5×3.3×
Jin‐Won Lee · 1×
Citations per year

Countries citing papers authored by Jeffrey M. Boyd

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey M. Boyd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey M. Boyd. 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 Jeffrey M. Boyd. The network helps show where Jeffrey M. Boyd may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20244
4 20238
5 20232
6 202323
7 20238
8 20214
9 202118
10 202118
11 202058
12 202037
13 201930
14 201714
15 201514
16 201529
17 201387
18 200519
19 200427
20 19639

About Jeffrey M. Boyd

Jeffrey M. Boyd is a scholar working on Infectious Diseases, Renewable Energy, Sustainability and the Environment and Nutrition and Dietetics, having authored 88 papers that have together received 2.5k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (27 papers), Bacterial biofilms and quorum sensing (23 papers), Trace Elements in Health (17 papers), Metalloenzymes and iron-sulfur proteins (17 papers), Enzyme Structure and Function (11 papers), Bacterial Genetics and Biotechnology (10 papers), Metal Extraction and Bioleaching (5 papers) and Antimicrobial agents and applications (4 papers). The work is most often cited by research in Infectious Diseases (566 citations), Renewable Energy, Sustainability and the Environment (433 citations) and Molecular Biology (1.5k citations). Jeffrey M. Boyd has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Ameya A. Mashruwala, Diana M. Downs, Eric S. Boyd, Faina Bogomolniy, M.G. Federici, Esther Rhei, Patrick I. Borgen, Lan Kang, Adriana van de Guchte and Scott A. Ensign. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

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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