D G Tedder
Impact in
- Virology top 10%
- Poxvirus research and outbreaks
- Epidemiology top 10%
- Herpesvirus Infections and Treatments
- Cytomegalovirus and herpesvirus research
- Virology and Viral Diseases
Papers in
- Epidemiology 11
- Herpesvirus Infections and Treatments 11
- Cytomegalovirus and herpesvirus research 4
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- Toxin Mechanisms and Immunotoxins 3
- Co-authors
- Lewis I. Pizer (4 shared papers)Rhoda L. Ashley (1 shared paper)Myron J. Levin (1 shared paper)P Beard (2 shared papers)K W Wilcox (2 shared papers)Roger D. Everett (2 shared papers)R Ashley (1 shared paper)M J Levin (1 shared paper)
- Journals
- Journal of Virology (3 papers)Pediatric Research (1 paper)New England Journal of Medicine (1 paper)Neurology (1 paper)Annals of Internal Medicine (1 paper)
- Partner nations
- United StatesSlovakia
In The Last Decade
D G Tedder
11 papers receiving 390 citations
Peers
Comparison fields: 5 of 50
- Virology 64
- Epidemiology 362
- Microbiology 47
- Parasitology 31
- Infectious Diseases 64
Countries citing papers authored by D G Tedder
This map shows the geographic impact of D G Tedder'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 G Tedder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D G Tedder more than expected).
Fields of papers citing papers by D G Tedder
This network shows the impact of papers produced by D G Tedder. 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 G Tedder. The network helps show where D G Tedder may publish in the future.
Co-authors
The 25 scholars most cited alongside D G Tedder, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 148 | |
| 2 | 1991 | 96 | |
| 3 | 1989 | 45 | |
| 4 | 1995 | 37 | |
| 5 | 1988 | 26 | |
| 6 | 1993 | 24 | |
| 7 | 1986 | 19 | |
| 8 | 1991 | 13 | |
| 9 | Non-productive infection of human newborn blood mononuclear cells with herpes simplex virus: effect on T cell activation, IL-2 production and proliferation. | 1988 | 13 |
| 10 | 1992 | 8 | |
| 11 | 1988 | 7 |
About D G Tedder
D G Tedder is a scholar working on Epidemiology, Immunology, Genetics, Virology and Parasitology, having authored 11 papers that have together received 436 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (11 papers), Cytomegalovirus and herpesvirus research (4 papers), Toxin Mechanisms and Immunotoxins (3 papers), Virus-based gene therapy research (3 papers), Poxvirus research and outbreaks (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Contact Dermatitis and Allergies (1 paper) and Autoimmune Neurological Disorders and Treatments (1 paper). The work is most often cited by research in Virology (64 citations), Epidemiology (362 citations), Microbiology (47 citations), Parasitology (31 citations) and Infectious Diseases (64 citations). D G Tedder has collaborated with scholars based in United States and Slovakia. Frequent co-authors include Lewis I. Pizer, Rhoda L. Ashley, Myron J. Levin, P Beard, K W Wilcox, Roger D. Everett, R Ashley, M J Levin, Kenneth L. Tyler and Kenneth Lichtenstein. Their work appears in journals such as Journal of Virology, Pediatric Research, New England Journal of Medicine, Neurology and Annals of Internal Medicine.
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.