Hava Ben‐David
Impact in
- Parasitology top 5%
- Toxoplasma gondii Research Studies
- Parasitic Infections and Diagnostics
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- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
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- Myasthenia Gravis and Thymoma 5
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- Immunotherapy and Immune Responses 2
- T-cell and B-cell Immunology 2
- IL-33, ST2, and ILC Pathways 1
- Co-authors
- Chen Stein‐Zamir (1 shared paper)Efrat Rorman (1 shared paper)Edna Mozes (8 shared papers)Michael Sela (5 shared papers)Amir Sharabi (4 shared papers)Molly Dayan (2 shared papers)Heidy Zinger (2 shared papers)Dror Luger (1 shared paper)
- Journals
- Immunology (3 papers)Proceedings of the National Academy of Sciences (3 papers)Cancer Research (2 papers)Reproductive Toxicology (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- IsraelUnited States
In The Last Decade
Hava Ben‐David
11 papers receiving 307 citations
Peers
Comparison fields: 5 of 54
- Parasitology 118
- Immunology 139
- Virology 17
- Rheumatology 32
- Epidemiology 72
Countries citing papers authored by Hava Ben‐David
This map shows the geographic impact of Hava Ben‐David'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 Hava Ben‐David with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hava Ben‐David more than expected).
Fields of papers citing papers by Hava Ben‐David
This network shows the impact of papers produced by Hava Ben‐David. 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 Hava Ben‐David. The network helps show where Hava Ben‐David may publish in the future.
Co-authors
The 25 scholars most cited alongside Hava Ben‐David, 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 | 2005 | 138 | |
| 2 | 2007 | 47 | |
| 3 | 2010 | 33 | |
| 4 | 2007 | 28 | |
| 5 | 2005 | 19 | |
| 6 | 2006 | 14 | |
| 7 | 2018 | 14 | |
| 8 | 2006 | 9 | |
| 9 | 2009 | 6 | |
| 10 | 2007 | 4 | |
| 11 | 2024 | 1 | |
| 12 | 2024 | 0 |
About Hava Ben‐David
Hava Ben‐David is a scholar working on Neurology, Immunology, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Infectious Diseases, having authored 12 papers that have together received 313 indexed citations. Recurring topics across this work include Myasthenia Gravis and Thymoma (5 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Antifungal resistance and susceptibility (2 papers), Immunotherapy and Immune Responses (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), Systemic Lupus Erythematosus Research (2 papers), T-cell and B-cell Immunology (2 papers) and IL-33, ST2, and ILC Pathways (1 paper). The work is most often cited by research in Parasitology (118 citations), Immunology (139 citations), Virology (17 citations), Rheumatology (32 citations) and Epidemiology (72 citations). Hava Ben‐David has collaborated with scholars based in Israel and United States. Frequent co-authors include Chen Stein‐Zamir, Efrat Rorman, Edna Mozes, Michael Sela, Amir Sharabi, Molly Dayan, Heidy Zinger, Dror Luger, Lin Leng and Richard Bucala. Their work appears in journals such as Immunology, Proceedings of the National Academy of Sciences, Cancer Research, Reproductive Toxicology and The Journal of Immunology.
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.