John E. Mayfield

2.2k citations
74 papers · 1.9k · h-index 24

Impact in

Papers in

John E. Mayfield

70 papers receiving 1.7k citations

Peers

John E. Mayfield
Comparison fields: 5 of 124
  • Small Animals 383
  • Endocrinology 220
  • Epidemiology 438
  • Immunology 264
  • Agronomy and Crop Science 115
Replace Amanda J. Lohan with:
Amanda J. Lohan Ireland
Richard T. Okinaka United States
Graham R. Stewart United Kingdom
Carol G. Chitko-McKown United States
Jörn Wolters Germany
J. G. Coote United Kingdom
Matthew Hobbs Australia
Rebecca M. Davidson United States
Stewart Scherer United States
Hélène Marquis United States
John E. Mayfield relative to Amanda J. Lohan Ireland Amanda J. Lohan's profile →
Citations per field
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Amanda J. Lohan · 1×
Citations per year

Countries citing papers authored by John E. Mayfield

Since Specialization
Citations

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

Fields of papers citing papers by John E. Mayfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991148
2 1983139
3 1987107
4 198893
5 199086
6 197870
7 197268
8 197468
9 197266
10 199063
11 199056
12 197552
13 199250
14 199049
15 199147
16 198943
17 199439
18 199439
19 197835
20 200034

About John E. Mayfield

John E. Mayfield is a scholar working on Small Animals, Endocrinology, Molecular Biology, Plant Science and Genetics, having authored 74 papers that have together received 1.9k indexed citations. Recurring topics across this work include Brucella: diagnosis, epidemiology, treatment (16 papers), Escherichia coli research studies (8 papers), RNA and protein synthesis mechanisms (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Bacteriophages and microbial interactions (5 papers), RNA Research and Splicing (5 papers), Glycosylation and Glycoproteins Research (5 papers) and Molecular Biology Techniques and Applications (5 papers). The work is most often cited by research in Small Animals (383 citations), Endocrinology (220 citations), Epidemiology (438 citations), Immunology (264 citations) and Agronomy and Crop Science (115 citations). John E. Mayfield has collaborated with scholars based in United States and Hungary. Frequent co-authors include Louisa Braal Tabatabai, James Bonner, Thomas J. Stabel, Donald C. Beitz, Albert E. Freeman, Betsy J. Bricker, Daniel L. Rock, John E. Puhalla, John R. Ellison and Peter J. Good. Their work appears in journals such as Infection and Immunity, Chromosoma, Biochemistry, American Journal of Veterinary Research and Veterinary Microbiology.

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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