E. Fidelma Boyd

6.8k citations
97 papers · 5.1k indexed · h-index 42
  • Endocrinology top 0.05%
    • Vibrio bacteria research studies 67
    • Escherichia coli research studies 17
    • Antibiotic Resistance in Bacteria 8
  • Food Science top 0.2%
    • Salmonella and Campylobacter epidemiology 31
  • Immunology top 2%
    • Aquaculture disease management and microbiota 36
  • Ecology top 1%
    • Bacteriophages and microbial interactions 18
    • Genomics and Phylogenetic Studies 23
    • Bacterial Genetics and Biotechnology 15

E. Fidelma Boyd

96 papers receiving 4.9k citations

Peers

E. Fidelma Boyd
Comparison fields: 5 of 115
  • Endocrinology 2.8k
  • Molecular Medicine 574
  • Food Science 1.7k
  • Immunology 1.3k
  • Ecology 1.4k
Replace Biao Kan with:
Biao Kan China
Ka Yin Leung Singapore
Stephen J. Libby United States
Bradley D. Jones United States
Paul A. Manning Australia
James M. Slauch United States
Narjol González‐Escalona United States
Ben D. Tall United States
J. J. Farmer United States
Jun Zhu United States
E. Fidelma Boyd relative to Biao Kan China Biao Kan's profile →
Citations per field
00.5×1.5×2.3×
Biao Kan · 1×
Citations per year

Countries citing papers authored by E. Fidelma Boyd

Since Specialization
Citations

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

Fields of papers citing papers by E. Fidelma Boyd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20246
2 20219
3 202015
4 202021
5 202025
6 201916
7 201973
8 201440
9 201223
10 20103
11 201016
12 201023
13 200924
14 20091
15 200687
16 200697
17 200511
18 200256
19 2002273
20 200183

About E. Fidelma Boyd

E. Fidelma Boyd is a scholar working on Endocrinology, Food Science and Immunology, having authored 97 papers that have together received 5.1k indexed citations. Recurring topics across this work include Vibrio bacteria research studies (67 papers), Aquaculture disease management and microbiota (36 papers), Salmonella and Campylobacter epidemiology (31 papers), Genomics and Phylogenetic Studies (23 papers), Bacteriophages and microbial interactions (18 papers), Escherichia coli research studies (17 papers), Bacterial Genetics and Biotechnology (15 papers) and Antibiotic Resistance in Bacteria (8 papers). The work is most often cited by research in Endocrinology (2.8k citations), Molecular Medicine (574 citations) and Food Science (1.7k citations). E. Fidelma Boyd has collaborated with scholars based in United States, Ireland and United Kingdom. Frequent co-authors include Salvador Almagro‐Moreno, Daniel L. Hartl, Harald Brüssow, R K Selander, Matthew K. Waldor, F. Jerry Reen, Michelle A. Parent, W. Brian Whitaker, Thomas S. Whittam and K Nelson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Bioinformatics.

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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