Ascher Ms
Impact in
- Virology top 2%
- HIV Research and Treatment
-
- HIV/AIDS Research and Interventions
- HIV/AIDS drug development and treatment
Papers in
- Virology 6
- HIV Research and Treatment 6
-
- Clinical Laboratory Practices and Quality Control 3
- Co-authors
- Haynes W. Sheppard (4 shared papers)William G. Lang IV (2 shared papers)Eric Vittinghoff (3 shared papers)Brian J. McRae (1 shared paper)Jean Pierre Allain (1 shared paper)Mark J. Stanley (1 shared paper)Roberta M. Madej (1 shared paper)Michael P. Busch (1 shared paper)
- Journals
- The Lancet (2 papers)PubMed (8 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Ascher Ms
10 papers receiving 367 citations
Peers
Comparison fields: 5 of 30
- Virology 320
- Infectious Diseases 64
- Management of Technology and Innovation 9
- Parasitology 6
- Physiology 21
Countries citing papers authored by Ascher Ms
This map shows the geographic impact of Ascher Ms'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 Ascher Ms with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ascher Ms more than expected).
Fields of papers citing papers by Ascher Ms
This network shows the impact of papers produced by Ascher Ms. 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 Ascher Ms. The network helps show where Ascher Ms may publish in the future.
Co-authors
The 17 scholars most cited alongside Ascher Ms, 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 | The characterization of non-progressors: long-term HIV-1 infection with stable CD4+ T-cell levels. | 1993 | 200 |
| 2 | The initial immune response to HIV and immune system activation determine the outcome of HIV disease. | 1991 | 84 |
| 3 | A multicenter proficiency trial of gene amplification (PCR) for the detection of HIV-1. | 1991 | 59 |
| 4 | The relationship between AIDS and immunologic tolerance. | 1992 | 22 |
| 5 | Reporting the results of human immunodeficiency virus testing. | 1990 | 14 |
| 6 | 1993 | 8 | |
| 7 | Analytic results of HIV-1 testing using blind proficiency testing. | 1993 | 7 |
| 8 | A rapid immunofluorescent procedure for serodiagnosis of Q fever in mice, guinea pigs, sheep, and humans. | 1983 | 4 |
| 9 | Use of T lymphocyte subset analysis in the case definition for AIDS. | 1993 | 3 |
| 10 | 1990 | 1 |
About Ascher Ms
Ascher Ms is a scholar working on Virology, Physiology, Parasitology, Infectious Diseases and Immunology, having authored 10 papers that have together received 402 indexed citations. Recurring topics across this work include HIV Research and Treatment (6 papers), Clinical Laboratory Practices and Quality Control (3 papers), Vector-borne infectious diseases (1 paper), T-cell and B-cell Immunology (1 paper) and HIV/AIDS Research and Interventions (1 paper). The work is most often cited by research in Virology (320 citations), Infectious Diseases (64 citations), Management of Technology and Innovation (9 citations), Parasitology (6 citations) and Physiology (21 citations). Ascher Ms has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Haynes W. Sheppard, William G. Lang IV, Eric Vittinghoff, Brian J. McRae, Jean Pierre Allain, Mark J. Stanley, Roberta M. Madej, Michael P. Busch, Abram S. Benenson and Thomas L. Hearn. Their work appears in journals such as The Lancet and PubMed.
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.