Danny Zeevi
Impact in
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Gene Regulatory Network Analysis
- CRISPR and Genetic Engineering
- Fungal and yeast genetics research
- Microbial Metabolic Engineering and Bioproduction
- Genetics top 10%
- Bacterial Genetics and Biotechnology
Papers in
-
- Genomics and Chromatin Dynamics 7
- RNA and protein synthesis mechanisms 5
- Fungal and yeast genetics research 4
- Gene Regulatory Network Analysis 2
- RNA modifications and cancer 2
- RNA Research and Splicing 2
- Genetics 4
- Genetic Associations and Epidemiology 3
- Co-authors
- Eran Segal (8 shared papers)Adina Weinberger (7 shared papers)Eilon Sharon (6 shared papers)Leeat Keren (5 shared papers)Michal Levo (3 shared papers)Tali Raveh-Sadka (3 shared papers)Ayala Sharp (1 shared paper)Yael Kalma (1 shared paper)
- Journals
- Genome Research (3 papers)Clinical Microbiology and Infection (1 paper)PLoS Computational Biology (1 paper)Cell (1 paper)GigaScience (1 paper)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Danny Zeevi
13 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 76
- Molecular Biology 873
- Genetics 226
- Biophysics 30
- Aging 5
- Plant Science 71
Countries citing papers authored by Danny Zeevi
This map shows the geographic impact of Danny 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 Danny Zeevi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danny Zeevi more than expected).
Fields of papers citing papers by Danny Zeevi
This network shows the impact of papers produced by Danny 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 Danny Zeevi. The network helps show where Danny Zeevi may publish in the future.
Co-authors
The 25 scholars most cited alongside Danny 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
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 355 | |
| 2 | 2013 | 187 | |
| 3 | 2012 | 164 | |
| 4 | 2013 | 157 | |
| 5 | 2019 | 70 | |
| 6 | 2011 | 39 | |
| 7 | 2013 | 22 | |
| 8 | 2014 | 15 | |
| 9 | 2013 | 6 | |
| 10 | 2022 | 4 | |
| 11 | 2024 | 2 | |
| 12 | 2019 | 2 | |
| 13 | 2025 | 1 |
About Danny Zeevi
Danny Zeevi is a scholar working on Molecular Biology, Genetics, Pediatrics, Perinatology and Child Health, Infectious Diseases and Endocrinology, Diabetes and Metabolism, having authored 13 papers that have together received 1.0k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (7 papers), RNA and protein synthesis mechanisms (5 papers), Fungal and yeast genetics research (4 papers), Genetic Associations and Epidemiology (3 papers), Gene Regulatory Network Analysis (2 papers), RNA modifications and cancer (2 papers), RNA Research and Splicing (2 papers) and Cancer-related molecular mechanisms research (1 paper). The work is most often cited by research in Molecular Biology (873 citations), Genetics (226 citations), Biophysics (30 citations), Aging (5 citations) and Plant Science (71 citations). Danny Zeevi has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Eran Segal, Adina Weinberger, Eilon Sharon, Leeat Keren, Michal Levo, Tali Raveh-Sadka, Ayala Sharp, Yael Kalma, Zohar Yakhini and Maya Lotan‐Pompan. Their work appears in journals such as Genome Research, Clinical Microbiology and Infection, PLoS Computational Biology, Cell and GigaScience.
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.