Einav Zeevi
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
Papers in
-
- 3D Printing in Biomedical Research 13
- Microfluidic and Bio-sensing Technologies 5
- Nanoplatforms for cancer theranostics 4
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- Cancer Research and Treatments 6
- Microbial Inactivation Methods 4
- Co-authors
- Moshe Giladi (32 shared papers)Tali Voloshin (28 shared papers)Yoram Palti (29 shared papers)Rosa S. Schneiderman (27 shared papers)Uri Weinberg (26 shared papers)Anna Shteingauz (20 shared papers)Mijal Munster (22 shared papers)Eilon D. Kirson (25 shared papers)
- Journals
- International Journal of Radiation Oncology*Biology*Physics (6 papers)Neuro-Oncology (6 papers)Cancer Research (5 papers)Journal of Clinical Oncology (4 papers)Annals of Oncology (3 papers)
- Partner nations
- United StatesIsraelSwitzerland
In The Last Decade
Einav Zeevi
33 papers receiving 486 citations
Peers
Comparison fields: 5 of 53
- Genetics 170
- Structural Biology 13
- Biotechnology 53
- Biophysics 30
- Biomedical Engineering 159
Countries citing papers authored by Einav Zeevi
This map shows the geographic impact of Einav Zeevi'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 Einav Zeevi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Einav Zeevi more than expected).
Fields of papers citing papers by Einav Zeevi
This network shows the impact of papers produced by Einav Zeevi. 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 Einav Zeevi. The network helps show where Einav Zeevi may publish in the future.
Co-authors
The 25 scholars most cited alongside Einav Zeevi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 123 | |
| 2 | 2018 | 88 | |
| 3 | 2020 | 72 | |
| 4 | 2016 | 64 | |
| 5 | 2017 | 47 | |
| 6 | 2022 | 25 | |
| 7 | 2017 | 24 | |
| 8 | 2020 | 18 | |
| 9 | 2019 | 5 | |
| 10 | 2018 | 5 | |
| 11 | 2019 | 3 | |
| 12 | 2017 | 2 | |
| 13 | 2019 | 2 | |
| 14 | 2019 | 2 | |
| 15 | 2018 | 2 | |
| 16 | 2021 | 2 | |
| 17 | 2019 | 1 | |
| 18 | 2020 | 1 | |
| 19 | 2017 | 1 | |
| 20 | 2018 | 1 |
About Einav Zeevi
Einav Zeevi is a scholar working on Biomedical Engineering, Biotechnology, Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience, having authored 33 papers that have together received 501 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (13 papers), Cancer Research and Treatments (6 papers), Microfluidic and Bio-sensing Technologies (5 papers), Neuroscience and Neural Engineering (4 papers), Microbial Inactivation Methods (4 papers), Autophagy in Disease and Therapy (4 papers), Nanoplatforms for cancer theranostics (4 papers) and Microtubule and mitosis dynamics (3 papers). The work is most often cited by research in Genetics (170 citations), Structural Biology (13 citations), Biotechnology (53 citations), Biophysics (30 citations) and Biomedical Engineering (159 citations). Einav Zeevi has collaborated with scholars based in United States, Israel and Switzerland. Frequent co-authors include Moshe Giladi, Tali Voloshin, Yoram Palti, Rosa S. Schneiderman, Uri Weinberg, Anna Shteingauz, Mijal Munster, Eilon D. Kirson, Noa Kaynan and Yaara Porat. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Neuro-Oncology, Cancer Research, Journal of Clinical Oncology and Annals of Oncology.
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.