Phillip Davis

1.0k citations
37 papers · 805 · h-index 17

Impact in

Papers in

Phillip Davis

35 papers receiving 748 citations

Peers

Phillip Davis
Comparison fields: 5 of 104
  • Animal Science and Zoology 108
  • Rheumatology 106
  • Biochemistry 46
  • Nutrition and Dietetics 80
  • Small Animals 38
Replace Maria Luisa Dupuis with:
Maria Luisa Dupuis Italy
Alexander Adam Germany
Patricia S. Latham United States
Carla Amici Italy
Vito G. Sasseville United States
Otto J. Plescia United States
K. Vosbeck Switzerland
A. Catharine Ross United States
Ryan C. Murphy United States
Jennifer Lynn Ford United States
Phillip Davis relative to Maria Luisa Dupuis Italy Maria Luisa Dupuis's profile →
Citations per field
00.5×2.9×
Maria Luisa Dupuis · 1×
Citations per year

Countries citing papers authored by Phillip Davis

Since Specialization
Citations

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

Fields of papers citing papers by Phillip Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198196
2 197683
3 198382
4
The role of secretory IgA in anti-coccidial immunity in the chicken.
197869
5 201953
6 197439
7 202231
8 197527
9 197623
10 201822
11 200421
12 201819
13 198719
14 198419
15 199819
16 199218
17 199917
18 198216
19 200714
20 200714

About Phillip Davis

Phillip Davis is a scholar working on Molecular Biology, Surgery, Nutrition and Dietetics, Infectious Diseases and Animal Science and Zoology, having authored 37 papers that have together received 805 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (5 papers), Fatty Acid Research and Health (4 papers), Lipid Membrane Structure and Behavior (4 papers), Animal Virus Infections Studies (3 papers), Rheumatoid Arthritis Research and Therapies (3 papers), Immune Response and Inflammation (3 papers), Viral gastroenteritis research and epidemiology (3 papers) and Pharmacological Effects of Natural Compounds (3 papers). The work is most often cited by research in Animal Science and Zoology (108 citations), Rheumatology (106 citations), Biochemistry (46 citations), Nutrition and Dietetics (80 citations) and Small Animals (38 citations). Phillip Davis has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include K. M. W. Keough, M I Jayson, R. M. Hutchinson, P. Porter, S H Parry, Eugene M. Lance, Victor M. Goldberg, Sukhinder Kaur Cheema, P A Bacon and J T Whicher. Their work appears in journals such as Annals of the Rheumatic Diseases, Avian Pathology, Biochimica et Biophysica Acta (BBA) - Biomembranes, Biochemistry and British Journal Of Nutrition.

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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