Tamar Wolf
- Modeling and Simulation top 2%
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research 3
- COVID-19 Clinical Research Studies 3
- Health top 10%
- Molecular Medicine top 10%
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- Advanced NMR Techniques and Applications 7
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- Protein purification and stability 6
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- Solid-state spectroscopy and crystallography 6
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- Monoclonal and Polyclonal Antibodies Research 5
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- NMR spectroscopy and applications 5
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- Superconducting and THz Device Technology 3
- Co-authors
- Gabriel ChodickEsma HerzelIdan YelinRachel KatzRoy KishonyBeka SolomonGideon FlemingerVarda Nadler
- Journals
- Journal of the American Chemical Society (2 papers)The Journal of Physical Chemistry C (2 papers)Journal of Low Temperature Physics (2 papers)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Tamar Wolf
31 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Modeling and Simulation 113
- Infectious Diseases 289
- Health 92
- Applied Microbiology and Biotechnology 22
- Molecular Medicine 46
Countries citing papers authored by Tamar Wolf
This map shows the geographic impact of Tamar Wolf'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 Tamar Wolf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamar Wolf more than expected).
Fields of papers citing papers by Tamar Wolf
This network shows the impact of papers produced by Tamar Wolf. 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 Tamar Wolf. The network helps show where Tamar Wolf may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tamar Wolf, 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 | 2025 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2023 | 8 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 3 | |
| 6 | Minimizing treatment-induced emergence of antibiotic resistance in bacterial infectionsbreakdown → | 2022 | 205 |
| 7 | 2022 | 1 | |
| 8 | 2021 | 3 | |
| 9 | Initial report of decreased SARS-CoV-2 viral load after inoculation with the BNT162b2 vaccinebreakdown → | 2021 | 305 |
| 10 | 2021 | 28 | |
| 11 | 2020 | 1 | |
| 12 | 2018 | 22 | |
| 13 | 2013 | 27 | |
| 14 | 1999 | 3 | |
| 15 | 1998 | 41 | |
| 16 | 1998 | 13 | |
| 17 | 1990 | 16 | |
| 18 | 1990 | 43 | |
| 19 | 1990 | 8 | |
| 20 | 1990 | 6 |
About Tamar Wolf
Tamar Wolf is a scholar working on Nuclear and High Energy Physics, Spectroscopy and Condensed Matter Physics, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced NMR Techniques and Applications (7 papers), Protein purification and stability (6 papers), Solid-state spectroscopy and crystallography (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), NMR spectroscopy and applications (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers), COVID-19 Clinical Research Studies (3 papers) and Superconducting and THz Device Technology (3 papers). The work is most often cited by research in Modeling and Simulation (113 citations), Infectious Diseases (289 citations) and Health (92 citations). Tamar Wolf has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Gabriel Chodick, Esma Herzel, Idan Yelin, Rachel Katz, Roy Kishony, Beka Solomon, Gideon Fleminger, Varda Nadler, Michal Leskes and Sivan Gazit. Their work appears in journals such as Journal of the American Chemical Society, The Journal of Physical Chemistry C, Journal of Low Temperature Physics, Applied Biochemistry and Biotechnology and Journal of Chromatography A.
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.