D. A. Pass

1.6k citations
59 papers · 1.2k indexed · h-index 20

Impact in

Papers in

D. A. Pass

59 papers receiving 1.1k citations

Peers

D. A. Pass
Comparison fields: 5 of 106
  • Animal Science and Zoology 547
  • Parasitology 167
  • Microbiology 116
  • Infectious Diseases 300
  • Equine 24
Replace Volker Schmidt with:
Volker Schmidt Germany
T. Sydler Switzerland
W. L. Steffens United States
С. Мартин United Kingdom
S. P. Snyder United States
Joseph M. Groff United States
H. Thompson United Kingdom
K. S. Latimer United States
Donal O’Toole United States
Udo Hetzel Switzerland
D. A. Pass relative to Volker Schmidt Germany Volker Schmidt's profile →
Citations per field
00.5×3.4×
Volker Schmidt · 1×
Citations per year

Countries citing papers authored by D. A. Pass

Since Specialization
Citations

This map shows the geographic impact of D. 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 D. 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 D. A. Pass more than expected).

Fields of papers citing papers by D. A. Pass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside D. 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 D. A. Pass Line = papers co-authored together D. 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 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984157
2 198799
3 198258
4 198955
5 198454
6 202049
7 198248
8 198239
9 198037
10 198734
11 198732
12 198530
13 198529
14 198728
15 198826
16 197525
17 198023
18 198220
19 197920
20
Wide distribution of Pasteurella haemolytica type 1 over the nasal mucosa of cattle.
197119

About D. A. Pass

D. A. Pass is a scholar working on Animal Science and Zoology, Parasitology, Epidemiology, Molecular Biology and Ecology, Evolution, Behavior and Systematics, having authored 59 papers that have together received 1.2k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (12 papers), Bird parasitology and diseases (8 papers), Herpesvirus Infections and Treatments (6 papers), Virus-based gene therapy research (5 papers), Viral Infections and Immunology Research (5 papers), Microbial infections and disease research (5 papers), Livestock and Poultry Management (5 papers) and Veterinary Oncology Research (4 papers). The work is most often cited by research in Animal Science and Zoology (547 citations), Parasitology (167 citations), Microbiology (116 citations), Infectious Diseases (300 citations) and Equine (24 citations). D. A. Pass has collaborated with scholars based in Australia, Canada and Czechia. Frequent co-authors include Ross Perry, G.E. Wilcox, J. R. Bolton, C. R. Huxtable, W. F. Robinson, C. Riddell, Frederick S.B. Kibenge, R. G. Thomson, S. McOrist and John Marshall. Their work appears in journals such as Australian Veterinary Journal, Avian Pathology, Veterinary Pathology, Veterinary Record and Avian Diseases.

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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