Beth Boyd

1.6k citations
22 papers · 1.3k · h-index 16

Impact in

  • Endocrinology top 0.5%
    • Escherichia coli research studies
    • Viral gastroenteritis research and epidemiology
    • Clostridium difficile and Clostridium perfringens research

Papers in

    • Escherichia coli research studies 16
    • Immune Cell Function and Interaction 5
    • Toxin Mechanisms and Immunotoxins 5

Beth Boyd

22 papers receiving 1.2k citations

Peers

Beth Boyd
Comparison fields: 5 of 83
  • Endocrinology 792
  • Infectious Diseases 454
  • Immunology 415
  • Biotechnology 103
  • Molecular Biology 393
Replace J E Brown with:
J E Brown United States
C B Louise United States
Amit Lahiri India
Liliana M. Massis Brazil
E. R. Jennings United States
Jaclyn S. Pearson Australia
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Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Beth Boyd

Since Specialization
Citations

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

Fields of papers citing papers by Beth Boyd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Beth 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 Beth Boyd Line = papers co-authored together Beth Boyd 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 1993255
2 1994186
3 199397
4 199476
5 199374
6 199471
7 199068
8 199266
9 199960
10 200859
11 199753
12 199853
13 199149
14 199548
15 199619
16 200015
17
MHC class II proteins contain a potential binding site for the verotoxin receptor glycolipid CD77.
200114
18 200313
19 19985
20 19943

About Beth Boyd

Beth Boyd is a scholar working on Endocrinology, Immunology, Infectious Diseases, Molecular Biology and Cell Biology, having authored 22 papers that have together received 1.3k indexed citations. Recurring topics across this work include Escherichia coli research studies (16 papers), Viral gastroenteritis research and epidemiology (7 papers), Immune Cell Function and Interaction (5 papers), Toxin Mechanisms and Immunotoxins (5 papers), Clostridium difficile and Clostridium perfringens research (2 papers), Hemoglobin structure and function (2 papers), Nursing education and management (1 paper) and Streptococcal Infections and Treatments (1 paper). The work is most often cited by research in Endocrinology (792 citations), Infectious Diseases (454 citations), Immunology (415 citations), Biotechnology (103 citations) and Molecular Biology (393 citations). Beth Boyd has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Clifford A. Lingwood, Tom G. Obrig, C B Louise, Thomas O. Daniel, Lise Barley-Maloney, Gregory J. Tyrrell, Susan A. Kaye, Susan E. Richardson, Jean Gariépy and James Brunton. Their work appears in journals such as Infection and Immunity, Journal of Biological Chemistry, Teaching and learning in nursing, Journal of Medical Microbiology and The Journal of Experimental Medicine.

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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