Steven J. Cook

2.8k total citations · 1 hit paper
20 papers, 1.0k citations indexed

About

Steven J. Cook is a scholar working on Aging, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Steven J. Cook has authored 20 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Aging, 8 papers in Cellular and Molecular Neuroscience and 7 papers in Physiology. Recurrent topics in Steven J. Cook's work include Genetics, Aging, and Longevity in Model Organisms (16 papers), Photoreceptor and optogenetics research (6 papers) and Spaceflight effects on biology (6 papers). Steven J. Cook is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (16 papers), Photoreceptor and optogenetics research (6 papers) and Spaceflight effects on biology (6 papers). Steven J. Cook collaborates with scholars based in United States, United Kingdom and Germany. Steven J. Cook's co-authors include Scott W. Emmons, David H. Hall, Oliver Hobert, Ken C. Q. Nguyen, Christopher A. Brittin, Hannes E. Bülow, Leo T. H. Tang, Maksim A. Yakovlev, Adam Bloniarz and Janet S. Duerr and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Steven J. Cook

19 papers receiving 1.0k citations

Hit Papers

Whole-animal connectomes of both Caenorhabditis elegans s... 2019 2026 2021 2023 2019 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
Steven J. Cook United States 14 649 327 313 257 160 20 1.0k
Eviatar Yemini United States 14 714 1.1× 394 1.2× 271 0.9× 299 1.2× 175 1.1× 22 1.2k
Emily A. Bayer United States 9 529 0.8× 314 1.0× 218 0.7× 226 0.9× 94 0.6× 13 830
Taizo Kawano United States 16 622 1.0× 392 1.2× 336 1.1× 359 1.4× 147 0.9× 24 993
Christopher A. Brittin United States 5 519 0.8× 286 0.9× 188 0.6× 247 1.0× 110 0.7× 6 862
Adam Bloniarz United States 4 472 0.7× 266 0.8× 180 0.6× 229 0.9× 95 0.6× 4 835
Shangbang Gao China 21 558 0.9× 374 1.1× 523 1.7× 486 1.9× 155 1.0× 60 1.4k
Miri K. VanHoven United States 9 548 0.8× 346 1.1× 509 1.6× 620 2.4× 103 0.6× 13 1.3k
Johannes Larsch Germany 12 332 0.5× 247 0.8× 206 0.7× 239 0.9× 64 0.4× 14 860
Leo T. H. Tang United States 8 327 0.5× 179 0.5× 208 0.7× 213 0.8× 77 0.5× 9 668
Christian Schultheis Germany 15 426 0.7× 334 1.0× 292 0.9× 561 2.2× 215 1.3× 24 1.1k

Countries citing papers authored by Steven J. Cook

Since Specialization
Citations

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

Fields of papers citing papers by Steven J. Cook

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven J. Cook. 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 Steven J. Cook. The network helps show where Steven J. Cook may publish in the future.

Co-authorship network of co-authors of Steven J. Cook

This figure shows the co-authorship network connecting the top 25 collaborators of Steven J. Cook. A scholar is included among the top collaborators of Steven J. Cook 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 Steven J. Cook. Steven J. Cook 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.
Cook, Steven J., Curtis M. Loer, Daniel J. Bumbarger, et al.. (2025). Comparative connectomics of two distantly related nematode species reveals patterns of nervous system evolution. Science. 389(6759). eadx2143–eadx2143. 2 indexed citations
2.
Kushnir, Natasha, et al.. (2025). Evolution of lateralized gustation in nematodes. eLife. 14. 1 indexed citations
3.
Tang, Leo T. H., et al.. (2023). Anatomical restructuring of a lateralized neural circuit during associative learning by asymmetric insulin signaling. Current Biology. 33(18). 3835–3850.e6. 8 indexed citations
4.
Cook, Steven J., et al.. (2023). Neuronal contact predicts connectivity in the C. elegans brain. Current Biology. 33(11). 2315–2320.e2. 15 indexed citations
5.
Reilly, Molly B., Cyril Cros, Itai Antoine Toker, et al.. (2022). Widespread employment of conserved C. elegans homeobox genes in neuronal identity specification. PLoS Genetics. 18(9). e1010372–e1010372. 22 indexed citations
6.
Berghoff, Emily G., Lori Glenwinkel, Abhishek Bhattacharya, et al.. (2021). The Prop1-like homeobox gene unc-42 specifies the identity of synaptically connected neurons. eLife. 10. 26 indexed citations
7.
Brittin, Christopher A., Steven J. Cook, David H. Hall, Scott W. Emmons, & Netta Cohen. (2021). A multi-scale brain map derived from whole-brain volumetric reconstructions. Nature. 591(7848). 105–110. 57 indexed citations
8.
Cook, Steven J., Berta Vidal, & Oliver Hobert. (2021). The bHLH-PAS gene hlh-34 is expressed in the AVH, not AVJ interneurons. PubMed. 2021(9). 3 indexed citations
9.
Brittin, Christopher A., et al.. (2020). A multiscale brain map derived from whole-brain volumetric reconstructions. Zenodo (CERN European Organization for Nuclear Research).
10.
Cook, Steven J., Byunghyuk Kim, David Elliott, et al.. (2020). Direct glia-to-neuron transdifferentiation gives rise to a pair of male-specific neurons that ensure nimble male mating. eLife. 9. 35 indexed citations
11.
Cook, Steven J., et al.. (2020). The connectome of the Caenorhabditis elegans pharynx. The Journal of Comparative Neurology. 528(16). 2767–2784. 23 indexed citations
12.
Cook, Steven J., Christopher A. Brittin, Yi Wang, et al.. (2019). Whole-animal connectomes of both Caenorhabditis elegans sexes. Nature. 571(7763). 63–71. 477 indexed citations breakdown →
13.
Hong, Ray L., Metta Riebesell, Daniel J. Bumbarger, et al.. (2019). Evolution of neuronal anatomy and circuitry in two highly divergent nematode species. eLife. 8. 47 indexed citations
14.
Dimitriadi, Maria, Aaron Derdowski, Geetika Kalloo, et al.. (2016). Decreased function of survival motor neuron protein impairs endocytic pathways. Proceedings of the National Academy of Sciences. 113(30). E4377–86. 42 indexed citations
15.
Cook, Steven J., Ken C. Q. Nguyen, David H. Hall, et al.. (2015). Glia-derived neurons are required for sex-specific learning in C. elegans. Nature. 526(7573). 385–390. 93 indexed citations
16.
Meng, Lingfeng, et al.. (2015). The Cell Death Pathway Regulates Synapse Elimination through Cleavage of Gelsolin in Caenorhabditis elegans Neurons. Cell Reports. 11(11). 1737–1748. 34 indexed citations
17.
Desbois, Muriel, Steven J. Cook, Scott W. Emmons, & Hannes E. Bülow. (2015). Directional Trans-Synaptic Labeling of Specific Neuronal Connections in Live Animals. Genetics. 200(3). 697–705. 28 indexed citations
18.
Xu, Meng, et al.. (2013). Computer Assisted Assembly of Connectomes from Electron Micrographs: Application to Caenorhabditis elegans. PLoS ONE. 8(1). e54050–e54050. 37 indexed citations
19.
Cook, Steven J., Jayne M. Squirrell, Kevin W. Eliceiri, et al.. (2009). CGEF-1 and CHIN-1 Regulate CDC-42 Activity during Asymmetric Division in theCaenorhabditis elegansEmbryo. Molecular Biology of the Cell. 21(2). 266–277. 72 indexed citations
20.
Cook, Steven J., et al.. (2008). Ist die Ruheherzfrequenz ein kardiovaskulärer Risikofaktor?. Praxis. 97(11). 601–611. 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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