David H. Baum
Impact in
- Animal Science and Zoology top 2%
- Animal Virus Infections Studies
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
Papers in
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- Animal Virus Infections Studies 25
-
- Viral gastroenteritis research and epidemiology 20
- Co-authors
- Michael Yellin (4 shared papers)Leonard Chess (3 shared papers)Luis G. Giménez‐Lirola (29 shared papers)L A Joens (4 shared papers)Jeffrey J. Zimmerman (24 shared papers)J Brett (1 shared paper)Anne Y. Matsushima (1 shared paper)D Stern (1 shared paper)
- Journals
- Journal of Veterinary Diagnostic Investigation (5 papers)Journal of Clinical Microbiology (3 papers)Veterinary Microbiology (3 papers)Viruses (3 papers)Infection and Immunity (2 papers)
- Partner nations
- United StatesSpainBrazil
In The Last Decade
David H. Baum
50 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 108
- Animal Science and Zoology 344
- Immunology and Allergy 133
- Immunology 415
- Infectious Diseases 324
- Microbiology 103
Countries citing papers authored by David H. Baum
This map shows the geographic impact of David H. Baum'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 David H. Baum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David H. Baum more than expected).
Fields of papers citing papers by David H. Baum
This network shows the impact of papers produced by David H. Baum. 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 David H. Baum. The network helps show where David H. Baum may publish in the future.
Co-authors
The 25 scholars most cited alongside David H. Baum, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 242 | |
| 2 | 1995 | 207 | |
| 3 | 1997 | 143 | |
| 4 | 1979 | 81 | |
| 5 | 2016 | 70 | |
| 6 | 2016 | 62 | |
| 7 | 2020 | 59 | |
| 8 | 2017 | 55 | |
| 9 | 2017 | 49 | |
| 10 | 1980 | 41 | |
| 11 | 2020 | 26 | |
| 12 | 2019 | 26 | |
| 13 | 2020 | 18 | |
| 14 | 2024 | 17 | |
| 15 | 2019 | 15 | |
| 16 | 2017 | 15 | |
| 17 | 1982 | 13 | |
| 18 | 2019 | 13 | |
| 19 | 2020 | 12 | |
| 20 | 2020 | 11 |
About David H. Baum
David H. Baum is a scholar working on Animal Science and Zoology, Infectious Diseases, Genetics, Agronomy and Crop Science and Microbiology, having authored 51 papers that have together received 1.3k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (25 papers), Viral gastroenteritis research and epidemiology (20 papers), Virus-based gene therapy research (11 papers), Microbial infections and disease research (8 papers), Animal Disease Management and Epidemiology (8 papers), T-cell and B-cell Immunology (4 papers), Herpesvirus Infections and Treatments (3 papers) and Salmonella and Campylobacter epidemiology (3 papers). The work is most often cited by research in Animal Science and Zoology (344 citations), Immunology and Allergy (133 citations), Immunology (415 citations), Infectious Diseases (324 citations) and Microbiology (103 citations). David H. Baum has collaborated with scholars based in United States, Spain and Brazil. Frequent co-authors include Michael Yellin, Leonard Chess, Luis G. Giménez‐Lirola, L A Joens, Jeffrey J. Zimmerman, J Brett, Anne Y. Matsushima, D Stern, M Szabolcs and Seth Lederman. Their work appears in journals such as Journal of Veterinary Diagnostic Investigation, Journal of Clinical Microbiology, Veterinary Microbiology, Viruses 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.