Rick Farouni

2.3k total citations
10 papers, 229 citations indexed

About

Rick Farouni is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Rick Farouni has authored 10 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Cancer Research and 1 paper in Genetics. Recurrent topics in Rick Farouni's work include Single-cell and spatial transcriptomics (4 papers), CRISPR and Genetic Engineering (4 papers) and RNA modifications and cancer (2 papers). Rick Farouni is often cited by papers focused on Single-cell and spatial transcriptomics (4 papers), CRISPR and Genetic Engineering (4 papers) and RNA modifications and cancer (2 papers). Rick Farouni collaborates with scholars based in United States, Switzerland and Canada. Rick Farouni's co-authors include Randall J. Platt, Luca Pinello, Andrew J. Macpherson, Jakob Zimmermann, Tyrrell Conway, Florian Schmidt, Kendell Clement, Daniel E. Bauer, Jiannis Ragoussis and Hamed S. Najafabadi and has published in prestigious journals such as Nature, Science and Nature Communications.

In The Last Decade

Rick Farouni

10 papers receiving 226 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rick Farouni United States 9 189 53 15 15 15 10 229
Linyuan Ma United States 8 201 1.1× 68 1.3× 9 0.6× 6 0.4× 8 0.5× 16 251
Roshan Singh Thakur India 9 215 1.1× 31 0.6× 31 2.1× 16 1.1× 10 0.7× 10 237
Sandra Claret France 10 256 1.4× 40 0.8× 13 0.9× 13 0.9× 4 0.3× 16 344
Fabien Aubé France 7 350 1.9× 95 1.8× 9 0.6× 14 0.9× 14 0.9× 9 381
Shaun Aron South Africa 9 125 0.7× 76 1.4× 9 0.6× 10 0.7× 14 0.9× 14 239
Elif Sarinay Cenik United States 8 409 2.2× 40 0.8× 12 0.8× 25 1.7× 69 4.6× 17 514
Katherine A. Braun United States 9 340 1.8× 53 1.0× 10 0.7× 8 0.5× 35 2.3× 10 373
Mamneet Manghera Canada 7 205 1.1× 34 0.6× 3 0.2× 23 1.5× 12 0.8× 8 314
Shi-An A. Chen United States 5 319 1.7× 106 2.0× 17 1.1× 5 0.3× 20 1.3× 5 341
Yevgen Levdansky United States 8 230 1.2× 27 0.5× 15 1.0× 20 1.3× 13 0.9× 13 293

Countries citing papers authored by Rick Farouni

Since Specialization
Citations

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

Fields of papers citing papers by Rick Farouni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rick Farouni

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

All Works

10 of 10 papers shown
1.
Farouni, Rick, et al.. (2024). Multimodal scanning of genetic variants with base and prime editing. Nature Biotechnology. 43(9). 1458–1470. 14 indexed citations
2.
Santinha, António J., Esther Klingler, Rick Farouni, et al.. (2023). Transcriptional linkage analysis with in vivo AAV-Perturb-seq. Nature. 622(7982). 367–375. 37 indexed citations
3.
Farouni, Rick, Gabrielle Perron, Tianyuan Lu, et al.. (2023). Transcriptional reprogramming of skeletal muscle stem cells by the niche environment. Nature Communications. 14(1). 535–535. 15 indexed citations
4.
Schmidt, Florian, Jakob Zimmermann, Rick Farouni, et al.. (2022). Noninvasive assessment of gut function using transcriptional recording sentinel cells. Science. 376(6594). eabm6038–eabm6038. 56 indexed citations
5.
Farouni, Rick, Haig Djambazian, Lorenzo Ferri, Jiannis Ragoussis, & Hamed S. Najafabadi. (2020). Model-based analysis of sample index hopping reveals its widespread artifacts in multiplexed single-cell RNA-sequencing. Nature Communications. 11(1). 2704–2704. 21 indexed citations
6.
Anderson-Trocmé, Luke, Rick Farouni, Mathieu Bourgey, et al.. (2019). Legacy Data Confound Genomics Studies. Molecular Biology and Evolution. 37(1). 2–10. 17 indexed citations
7.
Seruggia, Davide, Martin Oti, Pratibha Tripathi, et al.. (2019). TAF5L and TAF6L Maintain Self-Renewal of Embryonic Stem Cells via the MYC Regulatory Network. Molecular Cell. 74(6). 1148–1163.e7. 29 indexed citations
8.
Pinello, Luca, Rick Farouni, & Guo‐Cheng Yuan. (2018). Haystack: systematic analysis of the variation of epigenetic states and cell-type specific regulatory elements. Bioinformatics. 34(11). 1930–1933. 12 indexed citations
9.
Clement, Kendell, Rick Farouni, Daniel E. Bauer, & Luca Pinello. (2018). AmpUMI: design and analysis of unique molecular identifiers for deep amplicon sequencing. Bioinformatics. 34(13). i202–i210. 25 indexed citations
10.
Baskin, Elizabeth, Rick Farouni, & Ewy A. Mathé. (2016). ALTRE: workflow for defining ALTered Regulatory Elements using chromatin accessibility data. Bioinformatics. 33(5). 740–742. 3 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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