Zehava Grossman
- Virology top 0.5%
- HIV Research and Treatment 28
- Infectious Diseases top 1%
- HIV/AIDS Research and Interventions 26
- HIV/AIDS drug development and treatment 24
- Molecular Medicine top 5%
- Endocrinology top 5%
- Epidemiology top 5%
- HIV, Drug Use, Sexual Risk 7
- Respiratory viral infections research 6
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- RNA and protein synthesis mechanisms 8
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- Virus-based gene therapy research 6
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- Mosquito-borne diseases and control 5
Zehava Grossman
74 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 122
- Virology 794
- Infectious Diseases 1.3k
- Molecular Medicine 117
- Endocrinology 90
- Epidemiology 521
Countries citing papers authored by Zehava Grossman
This map shows the geographic impact of Zehava Grossman'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 Zehava Grossman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zehava Grossman more than expected).
Fields of papers citing papers by Zehava Grossman
This network shows the impact of papers produced by Zehava Grossman. 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 Zehava Grossman. The network helps show where Zehava Grossman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zehava Grossman, 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 | 2020 | 19 | |
| 2 | 2019 | 8 | |
| 3 | 2018 | 3 | |
| 4 | 2017 | 9 | |
| 5 | 2016 | 14 | |
| 6 | 2013 | 15 | |
| 7 | 2012 | 0 | |
| 8 | 2012 | 16 | |
| 9 | 2011 | 32 | |
| 10 | Expected HIV-1 etravirine resistance after treatment failure with efavirenz and/or nevirapine | 2010 | 1 |
| 11 | 2010 | 11 | |
| 12 | 2006 | 16 | |
| 13 | Substitution of methionine at position 89 of the protease gene by other amino-acids occurs differentially during selection of particular resistance pathways in subtype C-patients | 2005 | 2 |
| 14 | 2002 | 22 | |
| 15 | Influence of subtype and treatment on genetic profiles of HIV-1 reverse transcriptase and protease: do they act independently in predicting position-specific mutation probabilities in non-subtype B sequences? | 2002 | 1 |
| 16 | 2001 | 74 | |
| 17 | 2000 | 83 | |
| 18 | 1999 | 125 | |
| 19 | 1994 | 7 | |
| 20 | 1989 | 4 |
About Zehava Grossman
Zehava Grossman is a scholar working on Virology, Infectious Diseases and Epidemiology, having authored 75 papers that have together received 2.6k indexed citations. Recurring topics across this work include HIV Research and Treatment (28 papers), HIV/AIDS Research and Interventions (26 papers), HIV/AIDS drug development and treatment (24 papers), RNA and protein synthesis mechanisms (8 papers), HIV, Drug Use, Sexual Risk (7 papers), Virus-based gene therapy research (6 papers), Respiratory viral infections research (6 papers) and Mosquito-borne diseases and control (5 papers). The work is most often cited by research in Virology (794 citations), Infectious Diseases (1.3k citations) and Molecular Medicine (117 citations). Zehava Grossman has collaborated with scholars based in Israel, United States and Belgium. Frequent co-authors include Ella Mendelson, Paz Einat, Rami Skaliter, Ahuva Itin, Ilan Stein, Eli Keshet, Fernando Mileguir, Musa Hindiyeh, Edward L. Kuff and Judy A. Mietz. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature 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.