Gregory M. Findlay

3.4k total citations · 2 hit papers
16 papers, 2.1k citations indexed

About

Gregory M. Findlay is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Gregory M. Findlay has authored 16 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Cancer Research. Recurrent topics in Gregory M. Findlay's work include CRISPR and Genetic Engineering (9 papers), RNA and protein synthesis mechanisms (4 papers) and Evolution and Genetic Dynamics (3 papers). Gregory M. Findlay is often cited by papers focused on CRISPR and Genetic Engineering (9 papers), RNA and protein synthesis mechanisms (4 papers) and Evolution and Genetic Dynamics (3 papers). Gregory M. Findlay collaborates with scholars based in United States, United Kingdom and Sweden. Gregory M. Findlay's co-authors include Jay Shendure, Aaron McKenna, James A. Gagnon, Alexander F. Schier, Marshall S. Horwitz, Melissa D. Zhang, Molly Gasperini, Jason C. Klein, Ronald J. Hause and Beth Martin and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Gregory M. Findlay

16 papers receiving 2.0k citations

Hit Papers

Whole-organism lineage tracing by combinatorial and cumul... 2016 2026 2019 2022 2016 2018 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gregory M. Findlay United States 12 1.6k 552 412 162 133 16 2.1k
Eleanor Williams United Kingdom 11 1.4k 0.8× 361 0.7× 236 0.6× 90 0.6× 87 0.7× 16 1.9k
Pierre‐Olivier Angrand France 23 1.7k 1.0× 420 0.8× 256 0.6× 139 0.9× 89 0.7× 44 2.0k
Serena J. Silver United States 12 1.5k 0.9× 155 0.3× 215 0.5× 197 1.2× 158 1.2× 25 1.9k
Miguel Carballo Spain 27 1.1k 0.7× 207 0.4× 79 0.2× 117 0.7× 125 0.9× 73 1.7k
Ivan Bosanac Canada 14 1.8k 1.1× 145 0.3× 256 0.6× 346 2.1× 272 2.0× 15 2.0k
Karin Ridderstråle Sweden 6 1.9k 1.1× 193 0.3× 200 0.5× 448 2.8× 217 1.6× 6 2.5k
Zhengyan Kan United States 15 3.1k 1.9× 355 0.6× 593 1.4× 126 0.8× 572 4.3× 28 3.9k
Sandy Klemm United States 12 2.2k 1.4× 236 0.4× 459 1.1× 73 0.5× 292 2.2× 15 2.7k
Tal Teitz United States 19 1.5k 0.9× 166 0.3× 414 1.0× 213 1.3× 277 2.1× 31 1.9k
Behnam Nabet United States 22 3.1k 1.9× 179 0.3× 356 0.9× 144 0.9× 237 1.8× 41 3.6k

Countries citing papers authored by Gregory M. Findlay

Since Specialization
Citations

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

Fields of papers citing papers by Gregory M. Findlay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory M. Findlay. 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 Gregory M. Findlay. The network helps show where Gregory M. Findlay may publish in the future.

Co-authorship network of co-authors of Gregory M. Findlay

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory M. Findlay. A scholar is included among the top collaborators of Gregory M. Findlay 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 Gregory M. Findlay. Gregory M. Findlay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Herger, Michael, et al.. (2025). High-throughput screening of human genetic variants by pooled prime editing. Cell Genomics. 5(4). 100814–100814. 6 indexed citations
2.
Ganner, Athina, Laura Cubitt, Dong‐Kyu Kim, et al.. (2024). Saturation genome editing maps the functional spectrum of pathogenic VHL alleles. Nature Genetics. 56(7). 1446–1455. 16 indexed citations
3.
Jonghe, Joachim De, Tomasz S. Kamiński, David B. Morse, et al.. (2023). spinDrop: a droplet microfluidic platform to maximise single-cell sequencing information content. Nature Communications. 14(1). 4788–4788. 34 indexed citations
4.
Findlay, Gregory M., et al.. (2022). Reducing uncertainty in genetic testing with Saturation Genome Editing. Medizinische Genetik. 34(4). 297–304. 2 indexed citations
5.
Findlay, Gregory M.. (2021). Linking genome variants to disease: scalable approaches to test the functional impact of human mutations. Human Molecular Genetics. 30(R2). R187–R197. 34 indexed citations
6.
Alexander, Jes, Gregory M. Findlay, Martin Kircher, & Jay Shendure. (2019). Concurrent genome and epigenome editing by CRISPR-mediated sequence replacement. BMC Biology. 17(1). 90–90. 10 indexed citations
7.
Shendure, Jay, Gregory M. Findlay, & Matthew W. Snyder. (2019). Genomic Medicine–Progress, Pitfalls, and Promise. Cell. 177(1). 45–57. 117 indexed citations
8.
Findlay, Gregory M., Riza M. Daza, Beth Martin, et al.. (2018). Accurate classification of BRCA1 variants with saturation genome editing. Nature. 562(7726). 217–222. 476 indexed citations breakdown →
9.
Gasperini, Molly, Gregory M. Findlay, Aaron McKenna, et al.. (2017). CRISPR/Cas9-Mediated Scanning for Regulatory Elements Required for HPRT1 Expression via Thousands of Large, Programmed Genomic Deletions. The American Journal of Human Genetics. 101(2). 192–205. 93 indexed citations
10.
McKenna, Aaron, Gregory M. Findlay, James A. Gagnon, et al.. (2016). Whole-organism lineage tracing by combinatorial and cumulative genome editing. Science. 353(6298). aaf7907–aaf7907. 477 indexed citations breakdown →
11.
Aguet, François, Srigokul Upadhyayula, Raphaël Gaudin, et al.. (2016). Membrane dynamics of dividing cells imaged by lattice light-sheet microscopy. Molecular Biology of the Cell. 27(22). 3418–3435. 89 indexed citations
12.
Findlay, Gregory M., Evan A. Boyle, Ronald J. Hause, Jason C. Klein, & Jay Shendure. (2014). Saturation editing of genomic regions by multiplex homology-directed repair. Nature. 513(7516). 120–123. 252 indexed citations
13.
Kumar, Akash, Max L. Dougherty, Gregory M. Findlay, et al.. (2014). Genome Sequencing of Idiopathic Pulmonary Fibrosis in Conjunction with a Medical School Human Anatomy Course. PLoS ONE. 9(9). e106744–e106744. 5 indexed citations
14.
Birnbaum, Ramon Y., Rupali P Patwardhan, Mee J. Kim, et al.. (2014). Systematic Dissection of Coding Exons at Single Nucleotide Resolution Supports an Additional Role in Cell-Specific Transcriptional Regulation. PLoS Genetics. 10(10). e1004592–e1004592. 31 indexed citations
15.
Sharma, Sonia, Ariel Quintana, Gregory M. Findlay, et al.. (2013). An siRNA screen for NFAT activation identifies septins as coordinators of store-operated Ca2+ entry. Nature. 499(7457). 238–242. 188 indexed citations
16.
Sharma, Sonia, Gregory M. Findlay, Hozefa S. Bandukwala, et al.. (2011). Dephosphorylation of the nuclear factor of activated T cells (NFAT) transcription factor is regulated by an RNA-protein scaffold complex. Proceedings of the National Academy of Sciences. 108(28). 11381–11386. 232 indexed citations

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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