M.A. Pass

958 citations
33 papers · 798 · h-index 16

Impact in

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

Papers in

    • Drug-Induced Hepatotoxicity and Protection 9
    • Antibiotics Pharmacokinetics and Efficacy 2
    • Plant Toxicity and Pharmacological Properties 6

M.A. Pass

33 papers receiving 703 citations

Peers

M.A. Pass
Comparison fields: 5 of 83
  • Equine 223
  • Endocrinology 108
  • Agronomy and Crop Science 151
  • Small Animals 70
  • Pharmacology 70
Replace Angelo Peli with:
Angelo Peli Italy
John A. Schmitz United States
J.E. Bauer United States
F. R. Ungemach Germany
Murat Boyacıoğlu Türkiye
W. Kluciński Poland
Douglas C. Donovan United States
Selim Sekkin Türkiye
Chenglin Zhu China
K.A.N. Esievo Nigeria
M.A. Pass relative to Angelo Peli Italy Angelo Peli's profile →
Citations per field
00.5×2×4×6×7.2×
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 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000144
2 199896
3 199878
4 200061
5 199829
6 199229
7 200028
8 198428
9 198428
10 197927
11 197824
12 198524
13 198323
14 198622
15 198420
16 197117
17 199515
18 197913
19 198812
20 197812

About M.A. Pass

M.A. Pass is a scholar working on Pharmacology, Molecular Biology, Oncology, Agronomy and Crop Science and Plant Science, having authored 33 papers that have together received 798 indexed citations. Recurring topics across this work include Drug-Induced Hepatotoxicity and Protection (9 papers), Plant Toxicity and Pharmacological Properties (6 papers), Drug Transport and Resistance Mechanisms (5 papers), Veterinary Equine Medical Research (4 papers), Reproductive Physiology in Livestock (4 papers), Metabolism and Genetic Disorders (4 papers), Liver Disease Diagnosis and Treatment (3 papers) and Antibiotics Pharmacokinetics and Efficacy (2 papers). The work is most often cited by research in Equine (223 citations), Endocrinology (108 citations), Agronomy and Crop Science (151 citations), Small Animals (70 citations) and Pharmacology (70 citations). M.A. Pass has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include C. C. Pollitt, Sandra Pollitt, Rajesh Odedra, Roger M. Batt, K. R. French, W. Majak, C. C. Pollitt, Alister D. Muir, Garold S. Yost and Scott E. Wetzlich. Their work appears in journals such as Australian Veterinary Journal, Toxicology Letters, Journal of Veterinary Pharmacology and Therapeutics, Toxicology and Applied Pharmacology and Journal of Small Animal Practice.

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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