Tamar Wolf

32 papers receiving 1.2k citations

Tamar Wolf's Hit Papers

Minimizing treatment-induced emergence of antibiotic resistance in bacterial infections 2022 · 217 citations
2170+1+3Years since publication100200300

Peers

Tamar Wolf
Comparison fields: 5 of 133
  • Modeling and Simulation 89
  • Infectious Diseases 266
  • Health 70
  • Applied Microbiology and Biotechnology 16
  • Nuclear and High Energy Physics 117
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Countries citing papers authored by Tamar Wolf

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Tamar Wolf Line = papers co-authored together Tamar Wolf links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Initial report of decreased SARS-CoV-2 viral load after inoculation with the BNT162b2 vaccine
Hit paper breakdown →
2021307
2
Minimizing treatment-induced emergence of antibiotic resistance in bacterial infections
Hit paper breakdown →
2022217
3 2017162
4 201881
5 200957
6 199043
7 201141
8 199841
9 201236
10 201734
11 201329
12 202129
13 201826
14 201822
15 200822
16 199016
17 202114
18 199813
19 20239
20 19988

About Tamar Wolf

Tamar Wolf is a scholar working on Materials Chemistry, Molecular Biology, Spectroscopy, Nuclear and High Energy Physics and Radiology, Nuclear Medicine and Imaging, having authored 32 papers that have together received 1.3k 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), Superconducting and THz Device Technology (3 papers) and COVID-19 Clinical Research Studies (3 papers). The work is most often cited by research in Modeling and Simulation (89 citations), Infectious Diseases (266 citations), Health (70 citations), Applied Microbiology and Biotechnology (16 citations) and Nuclear and High Energy Physics (117 citations). Tamar Wolf has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Gabriel Chodick, Rachel Katz, Idan Yelin, Esma Herzel, Roy Kishony, Beka Solomon, Gideon Fleminger, Varda Nadler, Michal Leskes and Tal Patalon. Their work appears in journals such as Applied Biochemistry and Biotechnology, Journal of Low Temperature Physics, The Journal of Physical Chemistry C, Journal of Chromatography A and Journal of the American Chemical Society.

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.

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