Leon Anavy

2.1k citations
16 papers · 1.1k · 1 hit paper · h-index 10

Impact in

  • Aging top 10%
    • Single-cell and spatial transcriptomics
    • DNA and Biological Computing
    • Advanced biosensing and bioanalysis techniques
    • CRISPR and Genetic Engineering
    • Extracellular vesicles in disease

Papers in

    • DNA and Biological Computing 6
    • Advanced biosensing and bioanalysis techniques 5
    • Single-cell and spatial transcriptomics 2
    • Genomics and Phylogenetic Studies 2
    • CRISPR and Genetic Engineering 2
    • Cellular Automata and Applications 3

Leon Anavy

16 papers receiving 1.1k citations

Leon Anavy's Hit Papers

CEL-Seq2: sensitive highly-multiplexed single-cell RNA-Seq 2016 · 780 citations
7800+3+6Years since publication250500750

Peers

Leon Anavy
Comparison fields: 5 of 94
  • Aging 29
  • Molecular Biology 859
  • Cancer Research 169
  • Biophysics 70
  • Immunology 165
Replace Vincent Gardeux with:
Vincent Gardeux Switzerland
Livnat Jerby‐Arnon United States
Ryan D. Murphey United States
Ryan A. Pak United States
Erick Armingol United States
Gregory M. Findlay United States
Kieran R. Campbell Canada
Ivan V. Kulakovskiy Russia
Tyler Burks United States
Tamir Biezuner Israel
Leon Anavy relative to Vincent Gardeux Switzerland Vincent Gardeux's profile →
Citations per field
00.5×1.5×
Vincent Gardeux · 1×
Citations per year

Countries citing papers authored by Leon Anavy

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

16 of 16 papers shown
#Work
1
CEL-Seq2: sensitive highly-multiplexed single-cell RNA-Seq
Hit paper breakdown →
2016780
2 2019143
3 201436
4 202127
5 202421
6 202019
7 201818
8 201715
9 201912
10 202411
11 20188
12 20247
13 20217
14 20242
15 20232
16 20251

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 (6 papers), Advanced biosensing and bioanalysis techniques (5 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), Radiomics and Machine Learning in Medical Imaging (1 paper) and Genetic diversity and population structure (1 paper). The work is most often cited by research in Aging (29 citations), Molecular Biology (859 citations), Cancer Research (169 citations), Biophysics (70 citations) and Immunology (165 citations). Leon Anavy has collaborated with scholars based in Israel, United States and Austria. Frequent co-authors include Itai Yanai, Tamar Hashimshony, Naftalie Senderovich, Orit Rozenblatt–Rosen, Yaron de Leeuw, Agnes Klochendler, Dave Gennert, Yuval Dor, Gal Avital and Aviv Regev. Their work appears in journals such as Scientific Reports, Bioinformatics, IEEE Transactions on Molecular Biological and Multi-Scale Communications, Nature Biotechnology 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.

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