Aviv Regev

224.3k citations
319 papers · 80.8k indexed · 61 hit papers · h-index 129
Topics
Single-cell and spatial transcriptomics (92 papers)RNA Research and Splicing (45 papers)Immune Cell Function and Interaction (32 papers)

In The Last Decade

Aviv Regev

309 papers receiving 79.8k citations

Hit Papers

Highly Parallel Genome-wide Expression Pr...20032026201020182015201520152009201110002.0k3.0k4.0k

Peers

Aviv Regev
Comparison fields: 5 of 209
  • Molecular Biology 61.9k
  • Cancer Research 20.4k
  • Immunology 11.4k
  • Oncology 7.3k
  • Genetics 6.4k
Replace Jonathan S. Weissman with:
Jonathan S. Weissman United States
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Aviv Regev relative to Jonathan S. Weissman United States Jonathan S. Weissman's profile →
Citations per field
00.5×2.9×
Jonathan S. Weissman · 1×
Citations per year

Countries citing papers authored by Aviv Regev

Since Specialization
Citations

This map shows the geographic impact of Aviv Regev'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 Aviv Regev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aviv Regev more than expected).

Fields of papers citing papers by Aviv Regev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aviv Regev. 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 Aviv Regev. The network helps show where Aviv Regev may publish in the future.

Co-authorship network of co-authors of Aviv Regev

This figure shows the co-authorship network connecting the top 25 collaborators of Aviv Regev. A scholar is included among the top collaborators of Aviv Regev based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Aviv Regev. Aviv Regev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 64
2 1
3 82
4 89
5
Disease-associated astrocytes in Alzheimer’s disease and agingbreakdown →
587
6 177
7 60
8
Single-cell reconstruction of developmental trajectories during zebrafish embryogenesisbreakdown →
501
9
Molecular, spatial, and functional single-cell profiling of the hypothalamic preoptic regionbreakdown →
750
10
C2c2 is a single-component programmable RNA-guided RNA-targeting CRISPR effectorbreakdown →
1689
11 382
12 49
13 333
14 186
15 332
16 142
17 59
18 58
19
Many human large intergenic noncoding RNAs associate with chromatin-modifying complexes and affect gene expressionbreakdown →
2331
20 197

About Aviv Regev

Aviv Regev is a scholar working on Biophysics, Molecular Biology and Immunology, having authored 319 papers that have together received 80.8k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (92 papers), RNA Research and Splicing (45 papers) and Immune Cell Function and Interaction (32 papers). The work is most often cited by research in Cancer Research (20.4k citations), Molecular Biology (61.9k citations) and Aging (1.0k citations). Aviv Regev has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Rahul Satija, Eric S. Lander, John L. Rinn, Nir Friedman, Alexander F. Schier, Jeffrey A. Farrell, David Gennert, Feng Zhang, Mitchell Guttman and Manuel Garber. Their work appears in journals such as Nature, Science and New England Journal of Medicine.

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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