Robert J. Husmann

24 papers receiving 1.5k citations

Peers

Robert J. Husmann
Comparison fields: 5 of 69
  • Animal Science and Zoology 916
  • Infectious Diseases 724
  • Agronomy and Crop Science 252
  • Genetics 563
  • Immunology 376
Replace A.T.J. Bianchi with:
A.T.J. Bianchi Netherlands
Tobias Käser United States
Dennis L. Foss United States
Christine A. Jansen Netherlands
Helle Bielefeldt Ohmann Canada
H.C. Minocha United States
Steven D. Sorden United States
Rikio KIRISAWA Japan
Lyle D. Miller United States
P.W. Wells Tanzania
Robert J. Husmann relative to A.T.J. Bianchi Netherlands A.T.J. Bianchi's profile →
Citations per field
00.5×2×3×3.6×
A.T.J. Bianchi · 1×
Citations per year

Countries citing papers authored by Robert J. Husmann

Since Specialization
Citations

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

Fields of papers citing papers by Robert J. Husmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert J. Husmann. 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 Robert J. Husmann. The network helps show where Robert J. Husmann may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003278
2
Functional and phenotypic analysis of porcine peripheral blood CD4/CD8 double-positive T cells.
1996225
3 2004138
4 1994106
5 200887
6 199878
7 201076
8 200467
9 200565
10 199463
11 200863
12 201147
13 199843
14 199939
15 200938
16 202036
17 199433
18 199825
19 201223
20 200021

About Robert J. Husmann

Robert J. Husmann is a scholar working on Animal Science and Zoology, Agronomy and Crop Science, Infectious Diseases, Immunology and Genetics, having authored 24 papers that have together received 1.6k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (14 papers), Viral gastroenteritis research and epidemiology (9 papers), Animal Disease Management and Epidemiology (7 papers), Virus-based gene therapy research (6 papers), T-cell and B-cell Immunology (5 papers), Herpesvirus Infections and Treatments (3 papers), Immunotherapy and Immune Responses (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). The work is most often cited by research in Animal Science and Zoology (916 citations), Infectious Diseases (724 citations), Agronomy and Crop Science (252 citations), Genetics (563 citations) and Immunology (376 citations). Robert J. Husmann has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Federico A. Zuckermann, William M. Schnitzlein, Fernando A. Osorio, William A. Meier, J. A. Galeota, Joan K. Lunney, Tony L. Goldberg, Stephen John Martin, M.D. Pescovitz and Harry Dale Dawson. Their work appears in journals such as Veterinary Immunology and Immunopathology, Veterinary Research, Vaccine, Emerging Microbes & Infections and Infection and Immunity.

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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