Nathaniel R. Kastan

1.6k total citations · 1 hit paper
7 papers, 1.0k citations indexed

About

Nathaniel R. Kastan is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Nathaniel R. Kastan has authored 7 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Cell Biology and 3 papers in Genetics. Recurrent topics in Nathaniel R. Kastan's work include Hippo pathway signaling and YAP/TAZ (3 papers), Genetics and Neurodevelopmental Disorders (3 papers) and Autism Spectrum Disorder Research (2 papers). Nathaniel R. Kastan is often cited by papers focused on Hippo pathway signaling and YAP/TAZ (3 papers), Genetics and Neurodevelopmental Disorders (3 papers) and Autism Spectrum Disorder Research (2 papers). Nathaniel R. Kastan collaborates with scholars based in United States, United Kingdom and France. Nathaniel R. Kastan's co-authors include Daniel H. Ebert, Michael E. Greenberg, Harrison W. Gabel, Benyam Kinde, Hume Stroud, David A. Harmin, Martin Hemberg, Nathaniel D. Robinson, Robert Ekiert and Adrian Bird and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Nathaniel R. Kastan

7 papers receiving 1.0k citations

Hit Papers

Disruption of DNA-methylation-dependent long gene repress... 2015 2026 2018 2022 2015 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
Nathaniel R. Kastan United States 7 804 644 270 129 72 7 1.0k
Matthew J. Lyst United Kingdom 8 718 0.9× 722 1.1× 315 1.2× 47 0.4× 53 0.7× 9 945
John B. Vincent Canada 11 656 0.8× 878 1.4× 539 2.0× 85 0.7× 113 1.6× 19 1.1k
A. Gulhan Ercan‐Sencicek United States 11 434 0.5× 432 0.7× 271 1.0× 124 1.0× 84 1.2× 22 832
Holly A.F. Stessman United States 15 714 0.9× 824 1.3× 464 1.7× 56 0.4× 82 1.1× 33 1.3k
Angelika Rieß Germany 11 411 0.5× 460 0.7× 245 0.9× 100 0.8× 98 1.4× 20 756
Ravinesh A. Kumar United States 10 364 0.5× 508 0.8× 278 1.0× 95 0.7× 83 1.2× 16 767
Gregory J. Pelka Australia 14 597 0.7× 783 1.2× 347 1.3× 39 0.3× 101 1.4× 14 1.0k
Ka Ying Sharon Hung United States 5 1.2k 1.5× 1.1k 1.6× 513 1.9× 97 0.8× 153 2.1× 8 1.6k
Jyotsna Sudi United States 13 705 0.9× 1.0k 1.6× 451 1.7× 103 0.8× 148 2.1× 14 1.5k
Astrid Oudakker Netherlands 14 667 0.8× 673 1.0× 177 0.7× 38 0.3× 100 1.4× 20 1.1k

Countries citing papers authored by Nathaniel R. Kastan

Since Specialization
Citations

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

Fields of papers citing papers by Nathaniel R. Kastan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathaniel R. Kastan. 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 Nathaniel R. Kastan. The network helps show where Nathaniel R. Kastan may publish in the future.

Co-authorship network of co-authors of Nathaniel R. Kastan

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

All Works

7 of 7 papers shown
1.
Piccolo, Francesco M., Nathaniel R. Kastan, Tomomi Haremaki, et al.. (2022). Role of YAP in early ectodermal specification and a Huntington's Disease model of human neurulation. eLife. 11. 10 indexed citations
2.
Kastan, Nathaniel R., Leigh A. Baxt, Robert W. Myers, et al.. (2022). Development of an improved inhibitor of Lats kinases to promote regeneration of mammalian organs. Proceedings of the National Academy of Sciences. 119(28). e2206113119–e2206113119. 29 indexed citations
3.
Kastan, Nathaniel R., Ksenia Gnedeva, Aleksandra A. Petelski, et al.. (2021). Small-molecule inhibition of Lats kinases may promote Yap-dependent proliferation in postmitotic mammalian tissues. Nature Communications. 12(1). 3100–3100. 112 indexed citations
4.
Kastan, Nathaniel R., et al.. (2018). Thermal Excitation of the Mechanotransduction Apparatus of Hair Cells. Neuron. 97(3). 586–595.e4. 11 indexed citations
5.
Gabel, Harrison W., Benyam Kinde, Hume Stroud, et al.. (2015). Disruption of DNA-methylation-dependent long gene repression in Rett syndrome. Nature. 522(7554). 89–93. 414 indexed citations breakdown →
6.
Ebert, Daniel H., Harrison W. Gabel, Nathaniel D. Robinson, et al.. (2013). Activity-dependent phosphorylation of MeCP2 threonine 308 regulates interaction with NCoR. Nature. 499(7458). 341–345. 167 indexed citations
7.
Lyst, Matthew J., Robert Ekiert, Daniel H. Ebert, et al.. (2013). Rett syndrome mutations abolish the interaction of MeCP2 with the NCoR/SMRT co-repressor. Nature Neuroscience. 16(7). 898–902. 288 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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