M.A. Pass

934 citations
64 papers · 1.1k · h-index 17

Impact in

  • Equine top 0.5%
    • Veterinary Equine Medical Research
    • Escherichia coli research studies

Papers in

    • Veterinary Medicine and Surgery 6
    • Plant Toxicity and Pharmacological Properties 27
    • Natural product bioactivities and synthesis 3

M.A. Pass

60 papers receiving 981 citations

Peers

M.A. Pass
Comparison fields: 5 of 79
  • Equine 218
  • Endocrinology 108
  • Small Animals 122
  • Agronomy and Crop Science 65
  • Molecular Biology 326
Replace Angelo Peli with:
Angelo Peli Italy
John A. Schmitz United States
M. E. Coates United Kingdom
Chenglin Zhu China
Simone Bertini Italy
Fazul Nabi China
Paolo Polidori Italy
Robert Kupczyński Poland
Crystal Lynette Levesque United States
J.F. Sutra France
M.A. Pass relative to Angelo Peli Italy Angelo Peli's profile →
Citations per field
00.5×5×10×13.5×
Angelo Peli · 1×
Citations per year

Countries citing papers authored by M.A. Pass

Since Specialization
Citations

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

Fields of papers citing papers by M.A. Pass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.A. Pass. 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 M.A. Pass. The network helps show where M.A. Pass may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000149
2 199896
3 199878
4 200064
5 199830
6 199229
7 198428
8 198428
9 199228
10 197927
11 197824
12 198524
13 198323
14 198622
15 198420
16 197117
17 199317
18 197316
19 197816
20 198116

About M.A. Pass

M.A. Pass is a scholar working on Small Animals, Molecular Biology, Gastroenterology, Pharmacology and Plant Science, having authored 64 papers that have together received 1.1k indexed citations. Recurring topics across this work include Plant Toxicity and Pharmacological Properties (27 papers), Pesticide Exposure and Toxicity (6 papers), Veterinary Medicine and Surgery (6 papers), Gastrointestinal motility and disorders (6 papers), Ruminant Nutrition and Digestive Physiology (4 papers), Mycotoxins in Agriculture and Food (3 papers), Natural product bioactivities and synthesis (3 papers) and Veterinary Equine Medical Research (3 papers). The work is most often cited by research in Equine (218 citations), Endocrinology (108 citations), Small Animals (122 citations), Agronomy and Crop Science (65 citations) and Molecular Biology (326 citations). M.A. Pass has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Christopher C. Pollitt, Sandra Pollitt, Rajesh Odedra, Roger M. Batt, Trevor J Heath, W. Majak, Christopher S. McSweeney, A. A. Seawright, K. R. French and Alister D. Muir. Their work appears in journals such as Australian Veterinary Journal, Toxicology Letters, Journal of the American Veterinary Medical Association, Journal of Small Animal Practice and Toxicology and Applied Pharmacology.

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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