Timothy J. Zamb
- Virology top 2%
- HIV Research and Treatment 4
- Immunology top 5%
- T-cell and Retrovirus Studies 15
- Epidemiology top 2%
- Herpesvirus Infections and Treatments 23
- Cytomegalovirus and herpesvirus research 7
- Agronomy and Crop Science top 5%
- Animal Disease Management and Epidemiology 4
- Infectious Diseases top 5%
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- Virus-based gene therapy research 12
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- DNA Repair Mechanisms 4
- Fungal and yeast genetics research 4
- Co-authors
- Lorne A. BabiukG. CoxDavid FitzpatrickSylvia van Drunen Littel‐van den HurkRobert M. RothJohn C. GameSuresh K. TikooMichael A. Resnick
- Cited by
- VirologyImmunologyEpidemiology
- Partner nations
- United StatesCanada
In The Last Decade
Timothy J. Zamb
45 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 70
- Virology 241
- Immunology 771
- Epidemiology 1.0k
- Agronomy and Crop Science 221
- Infectious Diseases 337
Countries citing papers authored by Timothy J. Zamb
This map shows the geographic impact of Timothy J. Zamb'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 Timothy J. Zamb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timothy J. Zamb more than expected).
Fields of papers citing papers by Timothy J. Zamb
This network shows the impact of papers produced by Timothy J. Zamb. 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 Timothy J. Zamb. The network helps show where Timothy J. Zamb may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Timothy J. Zamb, 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 | 2014 | 4 | |
| 2 | 2013 | 4 | |
| 3 | 2007 | 11 | |
| 4 | 2006 | 24 | |
| 5 | 2005 | 25 | |
| 6 | 2003 | 23 | |
| 7 | 2003 | 20 | |
| 8 | 2003 | 3 | |
| 9 | 2000 | 60 | |
| 10 | 1997 | 9 | |
| 11 | 1994 | 17 | |
| 12 | 1993 | 102 | |
| 13 | 1993 | 47 | |
| 14 | 1992 | 14 | |
| 15 | 1992 | 14 | |
| 16 | 1992 | 35 | |
| 17 | 1990 | 5 | |
| 18 | Molecular mimicry: a herpes virus glycoprotein antigenically related to a cell-surface glycoprotein expressed by macrophages, polymorphonuclear leucocytes, and platelets. | 1990 | 17 |
| 19 | 1990 | 25 | |
| 20 | 1981 | 40 |
About Timothy J. Zamb
Timothy J. Zamb is a scholar working on Virology, Immunology and Epidemiology, having authored 45 papers that have together received 2.1k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (23 papers), T-cell and Retrovirus Studies (15 papers), Virus-based gene therapy research (12 papers), Cytomegalovirus and herpesvirus research (7 papers), HIV Research and Treatment (4 papers), DNA Repair Mechanisms (4 papers), Animal Disease Management and Epidemiology (4 papers) and Fungal and yeast genetics research (4 papers). The work is most often cited by research in Virology (241 citations), Immunology (771 citations) and Epidemiology (1.0k citations). Timothy J. Zamb has collaborated with scholars based in United States and Canada. Frequent co-authors include Lorne A. Babiuk, G. Cox, David Fitzpatrick, Sylvia van Drunen Littel‐van den Hurk, Robert M. Roth, John C. Game, Suresh K. Tikoo, Michael A. Resnick, J V van den Hurk and Michael D. Parker. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.