Eugene J. Smith
Impact in
- Animal Science and Zoology top 1%
- Animal Virus Infections Studies
- Epidemiology top 2%
- Herpesvirus Infections and Treatments
- Cytomegalovirus and herpesvirus research
Papers in
- Epidemiology 34
- Herpesvirus Infections and Treatments 34
-
- Animal Virus Infections Studies 21
- Co-authors
- L. B. Crittenden (26 shared papers)Aly M. Fadly (6 shared papers)A. M. Fadly (8 shared papers)R. L. Witter (7 shared papers)Donald W. Salter (4 shared papers)Stephen H. Hughes (2 shared papers)Stephen E. Wright (3 shared papers)Mona M. Aly (1 shared paper)
- Journals
- Poultry Science (15 papers)Avian Diseases (13 papers)Virology (10 papers)Avian Pathology (4 papers)Journal of Virology (3 papers)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Eugene J. Smith
67 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 89
- Animal Science and Zoology 584
- Epidemiology 988
- Genetics 718
- Virology 77
- Immunology 342
Countries citing papers authored by Eugene J. Smith
This map shows the geographic impact of Eugene J. Smith'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 Eugene J. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eugene J. Smith more than expected).
Fields of papers citing papers by Eugene J. Smith
This network shows the impact of papers produced by Eugene J. Smith. 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 Eugene J. Smith. The network helps show where Eugene J. Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside Eugene J. Smith, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1987 | 150 | |
| 2 | 1999 | 122 | |
| 3 | 1986 | 112 | |
| 4 | 1974 | 84 | |
| 5 | 1984 | 83 | |
| 6 | 1993 | 76 | |
| 7 | 1982 | 63 | |
| 8 | 1996 | 60 | |
| 9 | 1979 | 60 | |
| 10 | 1981 | 60 | |
| 11 | 1977 | 51 | |
| 12 | 1988 | 46 | |
| 13 | 1998 | 46 | |
| 14 | 1997 | 36 | |
| 15 | 1980 | 32 | |
| 16 | 1974 | 32 | |
| 17 | 1977 | 32 | |
| 18 | 1979 | 28 | |
| 19 | 1990 | 27 | |
| 20 | 1998 | 27 |
About Eugene J. Smith
Eugene J. Smith is a scholar working on Epidemiology, Animal Science and Zoology, Genetics, Molecular Biology and Immunology, having authored 68 papers that have together received 1.8k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (34 papers), Virus-based gene therapy research (22 papers), Animal Virus Infections Studies (21 papers), Animal Genetics and Reproduction (7 papers), Glycosylation and Glycoproteins Research (6 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers), T-cell and Retrovirus Studies (5 papers) and Toxin Mechanisms and Immunotoxins (4 papers). The work is most often cited by research in Animal Science and Zoology (584 citations), Epidemiology (988 citations), Genetics (718 citations), Virology (77 citations) and Immunology (342 citations). Eugene J. Smith has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include L. B. Crittenden, Aly M. Fadly, A. M. Fadly, R. L. Witter, Donald W. Salter, Stephen H. Hughes, Stephen E. Wright, Mona M. Aly, Ilan Levin and Robin A. Weiss. Their work appears in journals such as Poultry Science, Avian Diseases, Virology, Avian Pathology and Journal of Virology.
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.