Zehava Grossman
- Infectious Diseases top 1%
- Virology top 0.5%
- Molecular Biology top 10%
- Epidemiology top 5%
- Public Health, Environmental and Occupational Health top 5%
- Co-authors
- Ella MendelsonPaz EinatRami SkaliterAhuva ItinIlan SteinEli KeshetFernando MileguirMusa Hindiyeh
- Topics
- HIV Research and Treatment (28 papers)HIV/AIDS Research and Interventions (26 papers)HIV/AIDS drug development and treatment (24 papers)
- Partner nations
- IsraelUnited StatesBelgium
In The Last Decade
Zehava Grossman
74 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 122
- Infectious Diseases 1.3k
- Virology 794
- Molecular Biology 734
- Epidemiology 521
- Public Health, Environmental and Occupational Health 362
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 of co-authors of Zehava Grossman
This figure shows the co-authorship network connecting the top 25 collaborators of Zehava Grossman. A scholar is included among the top collaborators of Zehava Grossman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zehava Grossman. Zehava Grossman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 8 | |
| 3 | 3 | |
| 4 | 9 | |
| 5 | 14 | |
| 6 | 15 | |
| 7 | 0 | |
| 8 | 16 | |
| 9 | 32 | |
| 10 | Expected HIV-1 etravirine resistance after treatment failure with efavirenz and/or nevirapine | 1 |
| 11 | 11 | |
| 12 | 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 | 2 |
| 14 | 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? | 1 |
| 16 | 74 | |
| 17 | 83 | |
| 18 | 125 | |
| 19 | 7 | |
| 20 | 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) and HIV/AIDS drug development and treatment (24 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.