Leon Anavy
Impact in
- Aging top 5%
- Molecular Biology top 10%
- Single-cell and spatial transcriptomics
- DNA and Biological Computing
- Advanced biosensing and bioanalysis techniques
- CRISPR and Genetic Engineering
Papers in
-
- DNA and Biological Computing 6
- Advanced biosensing and bioanalysis techniques 5
- CRISPR and Genetic Engineering 2
- Genomics and Phylogenetic Studies 2
- Single-cell and spatial transcriptomics 2
- Co-authors
- Itai Yanai (3 shared papers)Tamar Hashimshony (2 shared papers)Kenneth J. Livak (1 shared paper)Shuqiang Li (1 shared paper)Naftalie Senderovich (1 shared paper)Agnes Klochendler (1 shared paper)Yaron de Leeuw (1 shared paper)Dave Gennert (1 shared paper)
- Journals
- Scientific Reports (2 papers)Bioinformatics (1 paper)Cell Reports (1 paper)IEEE Transactions on Molecular Biological and Multi-Scale Communications (1 paper)Development (1 paper)
- Partner nations
- IsraelUnited StatesAustralia
In The Last Decade
Leon Anavy
17 papers receiving 1.4k citations
Leon Anavy's Hit Papers
Peers
Comparison fields: 5 of 106
- Aging 49
- Molecular Biology 1.0k
- Biophysics 76
- Cancer Research 177
- Immunology 202
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 | 851 |
| 2 | 2016 | 186 | |
| 3 | 2019 | 157 | |
| 4 | 2014 | 39 | |
| 5 | 2021 | 32 | |
| 6 | 2024 | 25 | |
| 7 | 2020 | 23 | |
| 8 | 2018 | 19 | |
| 9 | 2017 | 16 | |
| 10 | 2024 | 15 | |
| 11 | 2019 | 12 | |
| 12 | 2024 | 10 | |
| 13 | 2018 | 9 | |
| 14 | 2021 | 8 | |
| 15 | 2023 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2025 | 1 |
About Leon Anavy
Leon Anavy is a scholar working on Molecular Biology, Biophysics, Computational Theory and Mathematics, Genetics and Aging, having authored 17 papers that have together received 1.4k indexed citations. Recurring topics across this work include DNA and Biological Computing (6 papers), Advanced biosensing and bioanalysis techniques (5 papers), Cellular Automata and Applications (3 papers), CRISPR and Genetic Engineering (2 papers), Genomics and Phylogenetic Studies (2 papers), Single-cell and spatial transcriptomics (2 papers), Animal Genetics and Reproduction (1 paper) and CAR-T cell therapy research (1 paper). The work is most often cited by research in Aging (49 citations), Molecular Biology (1.0k citations), Biophysics (76 citations), Cancer Research (177 citations) and Immunology (202 citations). Leon Anavy has collaborated with scholars based in Israel, United States and Australia. Frequent co-authors include Itai Yanai, Tamar Hashimshony, Kenneth J. Livak, Shuqiang Li, Naftalie Senderovich, Agnes Klochendler, Yaron de Leeuw, Dave Gennert, Orit Rozenblatt–Rosen and Gal Avital. Their work appears in journals such as Scientific Reports, Bioinformatics, Cell Reports, IEEE Transactions on Molecular Biological and Multi-Scale Communications and Development.
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.