Douglas Testa
Impact in
- Virology top 10%
- HIV Research and Treatment
- Immunology top 10%
- interferon and immune responses
Papers in
- Immunology 12
- interferon and immune responses 12
- Virology 4
- HIV Research and Treatment 4
- Co-authors
- A K Banerjee (3 shared papers)A K Banerjee (2 shared papers)Pranab K. Chanda (2 shared papers)Nancy Lee (7 shared papers)Mei‐June Liao (7 shared papers)M J Liao (2 shared papers)George Robert Stark (1 shared paper)Howard C. Thomas (1 shared paper)
- Journals
- Journal of Interferon & Cytokine Research (4 papers)The Journal of Infectious Diseases (2 papers)Gene (2 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Douglas Testa
30 papers receiving 604 citations
Peers
Comparison fields: 5 of 58
- Virology 75
- Immunology 203
- Epidemiology 239
- Molecular Biology 238
- Hepatology 32
Countries citing papers authored by Douglas Testa
This map shows the geographic impact of Douglas Testa'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 Douglas Testa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Douglas Testa more than expected).
Fields of papers citing papers by Douglas Testa
This network shows the impact of papers produced by Douglas Testa. 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 Douglas Testa. The network helps show where Douglas Testa may publish in the future.
Co-authors
The 25 scholars most cited alongside Douglas Testa, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 106 | |
| 2 | 1980 | 96 | |
| 3 | 1977 | 87 | |
| 4 | 1979 | 52 | |
| 5 | 1979 | 44 | |
| 6 | 1980 | 41 | |
| 7 | 1996 | 41 | |
| 8 | 1987 | 23 | |
| 9 | 1979 | 22 | |
| 10 | 1984 | 21 | |
| 11 | 1992 | 21 | |
| 12 | 1994 | 17 | |
| 13 | 1988 | 16 | |
| 14 | 1995 | 16 | |
| 15 | 1993 | 15 | |
| 16 | 1996 | 15 | |
| 17 | 1991 | 14 | |
| 18 | 1978 | 12 | |
| 19 | Detection of picogram amounts of nucleic acid by dot blot hybridization. | 1990 | 12 |
| 20 | 1994 | 12 |
About Douglas Testa
Douglas Testa is a scholar working on Immunology, Virology, Molecular Biology, Epidemiology and Genetics, having authored 31 papers that have together received 751 indexed citations. Recurring topics across this work include interferon and immune responses (12 papers), Virology and Viral Diseases (6 papers), RNA and protein synthesis mechanisms (5 papers), HIV Research and Treatment (4 papers), Plant tissue culture and regeneration (3 papers), Bacterial Genetics and Biotechnology (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Biochemical and Molecular Research (1 paper). The work is most often cited by research in Virology (75 citations), Immunology (203 citations), Epidemiology (239 citations), Molecular Biology (238 citations) and Hepatology (32 citations). Douglas Testa has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include A K Banerjee, A K Banerjee, Pranab K. Chanda, Nancy Lee, Mei‐June Liao, M J Liao, George Robert Stark, Howard C. Thomas, Graham R. Foster and Ewert Schulte‐Frohlinde. Their work appears in journals such as Journal of Interferon & Cytokine Research, The Journal of Infectious Diseases, Gene, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.