John D. Neill

4.6k citations
128 papers · 3.5k indexed · h-index 32

Impact in

Papers in

John D. Neill

124 papers receiving 3.4k citations

Peers

John D. Neill
Comparison fields: 5 of 109
  • Agronomy and Crop Science 1.5k
  • Animal Science and Zoology 1.2k
  • Infectious Diseases 2.1k
  • Ecology, Evolution, Behavior and Systematics 1.1k
  • Cardiology and Cardiovascular Medicine 855
Replace Till Rümenapf with:
Till Rümenapf Austria
Emiliana Brocchi Italy
Kenny V. Brock United States
Joe Brownlie United Kingdom
Andrew M. Q. King United Kingdom
José M. Escribano Spain
I. Greiser‐Wilke Germany
Yoshihiro Sakoda Japan
Amauri Alcindo Alfieri Brazil
Hua‐Ji Qiu China
John D. Neill relative to Till Rümenapf Austria Till Rümenapf's profile →
Citations per field
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Citations per year

Countries citing papers authored by John D. Neill

Since Specialization
Citations

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

Fields of papers citing papers by John D. Neill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20219
2 202020
3 20201
4 20207
5 20193
6 20197
7 20183
8 201715
9 201710
10 20175
11 201636
12 201262
13 201011
14 20089
15 20060
16 20061
17 200446
18 199413
19 19842
20 19641

About John D. Neill

John D. Neill is a scholar working on Agronomy and Crop Science, Infectious Diseases, Animal Science and Zoology, Ecology, Evolution, Behavior and Systematics and Cardiology and Cardiovascular Medicine, having authored 128 papers that have together received 3.5k indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (76 papers), Vector-Borne Animal Diseases (60 papers), Viral gastroenteritis research and epidemiology (59 papers), Animal Virus Infections Studies (35 papers), Viral Infections and Immunology Research (33 papers), T-cell and Retrovirus Studies (10 papers), Virus-based gene therapy research (10 papers) and Microbial infections and disease research (8 papers). The work is most often cited by research in Agronomy and Crop Science (1.5k citations), Animal Science and Zoology (1.2k citations), Infectious Diseases (2.1k citations), Ecology, Evolution, Behavior and Systematics (1.1k citations) and Cardiology and Cardiovascular Medicine (855 citations). John D. Neill has collaborated with scholars based in United States, Brazil and United Kingdom. Frequent co-authors include Julia F. Ridpath, Elisabeth Liebler–Tenorio, Mary K. Estes, James A. Roth, B. V. Venkataram Prasad, Robert J. Lipert, Marc D. Porter, Jeremy D. Driskell, Bruce S. Seal and Shollie M. Falkenberg. Their work appears in journals such as Virus Research, Journal of Veterinary Diagnostic Investigation, American Journal of Veterinary Research, Veterinary Microbiology and Virology.

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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