Leon Anavy
Impact in
- Aging top 10%
- Biophysics top 5%
- Cell Image Analysis Techniques
Papers in
-
- DNA and Biological Computing 7
- Advanced biosensing and bioanalysis techniques 6
- Single-cell and spatial transcriptomics 2
- Genomics and Phylogenetic Studies 2
- CRISPR and Genetic Engineering 2
-
- Cellular Automata and Applications 3
- Co-authors
- Itai Yanai (3 shared papers)Tamar Hashimshony (2 shared papers)Yuval Dor (1 shared paper)Gal Avital (1 shared paper)Dave Gennert (1 shared paper)Kenneth J. Livak (1 shared paper)Naftalie Senderovich (1 shared paper)Yaron de Leeuw (1 shared paper)
- Journals
- Scientific Reports (2 papers)Development (1 paper)PLoS Computational Biology (1 paper)Nature Communications (1 paper)Cell Reports (1 paper)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Leon Anavy
15 papers receiving 1.1k citations
Leon Anavy's Hit Papers
Peers
Comparison fields: 5 of 95
- Aging 30
- Biophysics 72
- Molecular Biology 839
- Cancer Research 176
- Immunology 170
Countries citing papers authored by Leon Anavy
This map shows the geographic impact of Leon Anavy'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 Leon Anavy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leon Anavy more than expected).
Fields of papers citing papers by Leon Anavy
This network shows the impact of papers produced by Leon Anavy. 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 Leon Anavy. The network helps show where Leon Anavy may publish in the future.
Co-authors
The 25 scholars most cited alongside Leon Anavy, 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 | CEL-Seq2: sensitive highly-multiplexed single-cell RNA-Seq Hit paper breakdown → | 2016 | 744 |
| 2 | 2019 | 139 | |
| 3 | 2014 | 35 | |
| 4 | 2021 | 26 | |
| 5 | 2020 | 19 | |
| 6 | 2024 | 19 | |
| 7 | 2018 | 17 | |
| 8 | 2017 | 15 | |
| 9 | 2019 | 12 | |
| 10 | 2024 | 10 | |
| 11 | 2018 | 8 | |
| 12 | 2021 | 7 | |
| 13 | 2024 | 6 | |
| 14 | 2024 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2025 | 0 |
About Leon Anavy
Leon Anavy is a scholar working on Molecular Biology, Computational Theory and Mathematics, Genetics, Biophysics and Control and Systems Engineering, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include DNA and Biological Computing (7 papers), Advanced biosensing and bioanalysis techniques (6 papers), Cellular Automata and Applications (3 papers), Single-cell and spatial transcriptomics (2 papers), Genomics and Phylogenetic Studies (2 papers), CRISPR and Genetic Engineering (2 papers), Cell Image Analysis Techniques (1 paper) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Aging (30 citations), Biophysics (72 citations), Molecular Biology (839 citations), Cancer Research (176 citations) and Immunology (170 citations). Leon Anavy has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Itai Yanai, Tamar Hashimshony, Yuval Dor, Gal Avital, Dave Gennert, Kenneth J. Livak, Naftalie Senderovich, Yaron de Leeuw, Orit Rozenblatt–Rosen and Aviv Regev. Their work appears in journals such as Scientific Reports, Development, PLoS Computational Biology, Nature Communications and Cell Reports.
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.