Sergi Regot

3.5k total citations · 3 hit papers
27 papers, 2.3k citations indexed

About

Sergi Regot is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Sergi Regot has authored 27 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 7 papers in Cell Biology and 5 papers in Oncology. Recurrent topics in Sergi Regot's work include CRISPR and Genetic Engineering (6 papers), Gene Regulatory Network Analysis (5 papers) and Fungal and yeast genetics research (4 papers). Sergi Regot is often cited by papers focused on CRISPR and Genetic Engineering (6 papers), Gene Regulatory Network Analysis (5 papers) and Fungal and yeast genetics research (4 papers). Sergi Regot collaborates with scholars based in United States, Spain and Sweden. Sergi Regot's co-authors include Markus W. Covert, Jacob Hughey, Silvia Carrasco, Bryce T. Bajar, Amy Peterson, Rachel Green, Boris Zinshteyn, Colin Chih‐Chien Wu, Francesc Posas and Michael Pokrass and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Sergi Regot

26 papers receiving 2.3k citations

Hit Papers

Temporal Control of Mammalian Cortical Neurogenesis by m6... 2014 2026 2018 2022 2017 2014 2020 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sergi Regot United States 18 1.9k 287 284 208 191 27 2.3k
Zachary C. Dobbin United States 15 1.3k 0.7× 350 1.2× 335 1.2× 475 2.3× 127 0.7× 18 2.2k
Angela Oliveira Pisco United States 21 1.1k 0.6× 388 1.4× 319 1.1× 315 1.5× 105 0.5× 38 2.1k
Eduardo A. Torre United States 18 2.6k 1.4× 656 2.3× 193 0.7× 332 1.6× 215 1.1× 24 3.1k
Tom D. Bunney United Kingdom 28 1.9k 1.0× 142 0.5× 428 1.5× 183 0.9× 141 0.7× 46 2.7k
Gregory M. Findlay United States 12 1.6k 0.8× 412 1.4× 162 0.6× 109 0.5× 106 0.6× 16 2.1k
Ralph H. Kehlenbach Germany 34 3.0k 1.6× 121 0.4× 493 1.7× 193 0.9× 156 0.8× 75 3.7k
Marion Peter France 23 1.7k 0.9× 113 0.4× 740 2.6× 249 1.2× 257 1.3× 38 2.2k
Eric Batchelor United States 22 2.2k 1.1× 326 1.1× 355 1.3× 854 4.1× 193 1.0× 37 2.6k
Karin Ridderstråle Sweden 6 1.9k 1.0× 200 0.7× 448 1.6× 426 2.0× 56 0.3× 6 2.5k
Susan M. Janicki United States 21 2.6k 1.4× 152 0.5× 244 0.9× 346 1.7× 180 0.9× 29 3.0k

Countries citing papers authored by Sergi Regot

Since Specialization
Citations

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

Fields of papers citing papers by Sergi Regot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sergi Regot

This figure shows the co-authorship network connecting the top 25 collaborators of Sergi Regot. A scholar is included among the top collaborators of Sergi Regot 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 Sergi Regot. Sergi Regot 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
1.
Tian, Chengzhe, Varuna Nangia, Chen Yang, et al.. (2025). CDK2 activity crosstalk on the ERK kinase translocation reporter can be resolved computationally. Cell Systems. 16(1). 101162–101162. 2 indexed citations
3.
Regot, Sergi, et al.. (2025). Mechanisms of whole-genome doubling in cancer evolution. Trends in cancer. 12(2). 175–185. 1 indexed citations
4.
Regot, Sergi, et al.. (2025). Cell cycle regulation by the ribotoxic stress response. Trends in Cell Biology. 35(7). 592–603. 2 indexed citations
5.
Xin, Tianchi, Sara Gallini, David G. Gonzalez, et al.. (2024). Oncogenic Kras induces spatiotemporally specific tissue deformation through converting pulsatile into sustained ERK activation. Nature Cell Biology. 26(6). 859–867. 7 indexed citations
6.
Sinha, Niladri K., et al.. (2024). CDK4/6 activity is required during G 2 arrest to prevent stress-induced endoreplication. Science. 384(6695). eadi2421–eadi2421. 16 indexed citations
7.
Sinha, Niladri K., Ki Hong Nam, Tomer M. Yaron, et al.. (2024). The ribotoxic stress response drives UV-mediated cell death. Cell. 187(14). 3652–3670.e40. 39 indexed citations
8.
Hook, Paul W., et al.. (2024). Sustained ERK signaling promotes G2 cell cycle exit and primes cells for whole-genome duplication. Developmental Cell. 59(13). 1724–1736.e4. 3 indexed citations
9.
Du, Shuangshuang, H. Amalia Pasolli, Catherine Matte-Martone, et al.. (2023). Organ function is preserved despite reorganization of niche architecture in the hair follicle. Cell stem cell. 30(7). 962–972.e6. 3 indexed citations
10.
Peterson, Amy, et al.. (2022). Systematic analysis of the MAPK signaling network reveals MAP3K-driven control of cell fate. Cell Systems. 13(11). 885–894.e4. 23 indexed citations
11.
Livingston, Nathan M., Ariel Gershman, Isaac S. Chan, et al.. (2021). Epigenetically regulated digital signaling defines epithelial innate immunity at the tissue level. Nature Communications. 12(1). 1836–1836. 17 indexed citations
12.
Pokrass, Michael & Sergi Regot. (2021). 3D time-lapse microscopy paired with endpoint lineage analysis in mouse blastocysts. STAR Protocols. 2(2). 100446–100446. 2 indexed citations
13.
Pokrass, Michael, Kathleen A. Ryan, Tianchi Xin, et al.. (2020). Cell-Cycle-Dependent ERK Signaling Dynamics Direct Fate Specification in the Mammalian Preimplantation Embryo. Developmental Cell. 55(3). 328–340.e5. 62 indexed citations
14.
Cova, Claire de la, Robert Townley, Sergi Regot, & Iva Greenwald. (2017). A Real-Time Biosensor for ERK Activity Reveals Signaling Dynamics during C. elegans Cell Fate Specification. Developmental Cell. 42(5). 542–553.e4. 98 indexed citations
15.
Kudo, Takamasa, Derek N. Macklin, Sajia Akhter, et al.. (2017). Live-cell measurements of kinase activity in single cells using translocation reporters. Nature Protocols. 13(1). 155–169. 79 indexed citations
16.
Yoon, Ki‐Jun, Francisca Rojas, Caroline Vissers, et al.. (2017). Temporal Control of Mammalian Cortical Neurogenesis by m6A Methylation. Cell. 171(4). 877–889.e17. 551 indexed citations breakdown →
17.
Regot, Sergi, Jacob Hughey, Bryce T. Bajar, Silvia Carrasco, & Markus W. Covert. (2014). High-Sensitivity Measurements of Multiple Kinase Activities in Live Single Cells. Cell. 157(7). 1724–1734. 411 indexed citations breakdown →
18.
Sanghvi, Jayodita C., Sergi Regot, Silvia Carrasco, et al.. (2013). Accelerated discovery via a whole-cell model. Nature Methods. 10(12). 1192–1195. 47 indexed citations
19.
Regot, Sergi, Eulàlia de Nadal, Susana Rodríguez‐Navarro, et al.. (2013). The Hog1 Stress-activated Protein Kinase Targets Nucleoporins to Control mRNA Export upon Stress. Journal of Biological Chemistry. 288(24). 17384–17398. 30 indexed citations
20.
Warringer, Jonas, Malin Hult, Sergi Regot, Francesc Posas, & Per Sunnerhagen. (2010). The HOG Pathway Dictates the Short-Term Translational Response after Hyperosmotic Shock. Molecular Biology of the Cell. 21(17). 3080–3092. 62 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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