M. S. Hirsch
Impact in
- Virology top 0.5%
- HIV Research and Treatment
- Infectious Diseases top 1%
- HIV/AIDS drug development and treatment
- HIV/AIDS Research and Interventions
Papers in
- Virology 11
- HIV Research and Treatment 11
- Immunology 18
- T-cell and Retrovirus Studies 8
- Immune Cell Function and Interaction 6
- Co-authors
- A. C. AllisonB. ZismanWalter P. CarneyR H RubinPaul R. SkolnikBarry KosloffPaul H. BlackW. Hansen
- Journals
- The Journal of Infectious Diseases (12 papers)The Journal of Immunology (5 papers)The Lancet (4 papers)Clinical Infectious Diseases (3 papers)Antimicrobial Agents and Chemotherapy (3 papers)
- Partner nations
- United StatesUnited KingdomTanzania
In The Last Decade
M. S. Hirsch
42 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Virology 1.2k
- Infectious Diseases 1.1k
- Immunology 1.1k
- Epidemiology 1.6k
- Agronomy and Crop Science 192
Countries citing papers authored by M. S. Hirsch
This map shows the geographic impact of M. S. Hirsch'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 M. S. Hirsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. S. Hirsch more than expected).
Fields of papers citing papers by M. S. Hirsch
This network shows the impact of papers produced by M. S. Hirsch. 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 M. S. Hirsch. The network helps show where M. S. Hirsch may publish in the future.
Co-authors
The 25 scholars most cited alongside M. S. Hirsch, 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 | 2003 | 96 | |
| 2 | 1996 | 76 | |
| 3 | Susceptibility of human cytomegalovirus to two-drug combinations in vitro. | 1996 | 18 |
| 4 | 1994 | 21 | |
| 5 | 1990 | 60 | |
| 6 | 1988 | 121 | |
| 7 | 1988 | 223 | |
| 8 | 1988 | 36 | |
| 9 | 1987 | 7 | |
| 10 | 1987 | 54 | |
| 11 | 1986 | 15 | |
| 12 | 1985 | 256 | |
| 13 | 1984 | 5 | |
| 14 | 1982 | 26 | |
| 15 | Analysis of T lymphocyte subsets in cytomegalovirus mononucleosis. Hit paper breakdown → | 1981 | 393 |
| 16 | 1980 | 33 | |
| 17 | 1976 | 12 | |
| 18 | 1973 | 14 | |
| 19 | 1970 | 230 | |
| 20 | 1968 | 78 |
About M. S. Hirsch
M. S. Hirsch is a scholar working on Virology, Immunology, Agronomy and Crop Science, Epidemiology and Infectious Diseases, having authored 42 papers that have together received 3.3k indexed citations. Recurring topics across this work include HIV Research and Treatment (11 papers), Herpesvirus Infections and Treatments (9 papers), Cytomegalovirus and herpesvirus research (9 papers), T-cell and Retrovirus Studies (8 papers), HIV/AIDS drug development and treatment (8 papers), Animal Disease Management and Epidemiology (7 papers), Virus-based gene therapy research (6 papers) and Immune Cell Function and Interaction (6 papers). The work is most often cited by research in Virology (1.2k citations), Infectious Diseases (1.1k citations), Immunology (1.1k citations), Epidemiology (1.6k citations) and Agronomy and Crop Science (192 citations). M. S. Hirsch has collaborated with scholars based in United States, United Kingdom and Tanzania. Frequent co-authors include A. C. Allison, B. Zisman, Walter P. Carney, R H Rubin, Paul R. Skolnik, Barry Kosloff, Paul H. Black, W. Hansen, R. A. Hoffman and F. A. Murphy. Their work appears in journals such as The Journal of Infectious Diseases, The Journal of Immunology, The Lancet, Clinical Infectious Diseases and Antimicrobial Agents and Chemotherapy.
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.