Cole A. Deisseroth

606 total citations
6 papers, 245 citations indexed

About

Cole A. Deisseroth is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Cole A. Deisseroth has authored 6 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Genetics and 1 paper in Artificial Intelligence. Recurrent topics in Cole A. Deisseroth's work include Genomics and Rare Diseases (5 papers), Biomedical Text Mining and Ontologies (4 papers) and Cancer Genomics and Diagnostics (1 paper). Cole A. Deisseroth is often cited by papers focused on Genomics and Rare Diseases (5 papers), Biomedical Text Mining and Ontologies (4 papers) and Cancer Genomics and Diagnostics (1 paper). Cole A. Deisseroth collaborates with scholars based in United States, United Kingdom and Italy. Cole A. Deisseroth's co-authors include Gill Bejerano, Johannes Birgmeier, Jonathan A. Bernstein, Karthik A. Jagadeesh, Harendra Guturu, Aaron M. Wenger, Alan H. Beggs, Purvesh Khatri, Shane Lofgren and Francesco Vallania and has published in prestigious journals such as Annals of Neurology, Science Translational Medicine and Genetics in Medicine.

In The Last Decade

Cole A. Deisseroth

6 papers receiving 241 citations

Peers

Countries citing papers authored by Cole A. Deisseroth

Since Specialization

Citations

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

Fields of papers citing papers by Cole A. Deisseroth

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cole A. Deisseroth. 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 Cole A. Deisseroth. The network helps show where Cole A. Deisseroth may publish in the future.

Co-authorship network of co-authors of Cole A. Deisseroth

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

All Works

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6 of 6 papers shown

#	Work	Indexed citations
1	An Integrated Phenotypic and Genotypic Approach Reveals a High‐Risk Subtype Association for EBF3 Missense Variants Affecting the Zinc Finger Domain 2022 ·Annals of Neurology ·Cole A. Deisseroth, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Vinodh Narayanan, (unknown), Ginevra Zanni, Enza Maria Valente, Enrico Bertini, Paul J. Benke, Michael F. Wangler, Hsiao‐Tuan Chao	6
2	AMELIE speeds Mendelian diagnosis by matching patient phenotype and genotype to primary literature 2020 ·Science Translational Medicine ·Johannes Birgmeier, Maximilian Haeussler, Cole A. Deisseroth, Ethan Steinberg, Karthik A. Jagadeesh, Alexander Ratner, Harendra Guturu, Aaron M. Wenger, Mark Diekhans, Peter D. Stenson, D.N. Cooper, Christopher Ré, Alan H. Beggs, Jonathan A. Bernstein, Gill Bejerano	56
3	AVADA: toward automated pathogenic variant evidence retrieval directly from the full-text literature 2019 ·Genetics in Medicine ·Johannes Birgmeier, Cole A. Deisseroth, (unknown), (unknown), (unknown), Karthik A. Jagadeesh, Peter D. Stenson, D.N. Cooper, Jonathan A. Bernstein, Maximilian Haeussler, Gill Bejerano	16
4	ClinPhen extracts and prioritizes patient phenotypes directly from medical records to expedite genetic disease diagnosis 2018 ·Genetics in Medicine ·Cole A. Deisseroth, Johannes Birgmeier, Ethan E. Bodle, Jennefer N. Kohler, Dena R. Matalon, (unknown), Casie A. Genetti, Donna M. Brown, Klaus Schmitz‐Abe, Kelly Schoch, Heidi Cope, Rebecca Signer, Julián A. Martínez-Agosto, Vandana Shashi, Alan H. Beggs, Matthew T. Wheeler, Jonathan A. Bernstein, Gill Bejerano	62
5	Phrank measures phenotype sets similarity to greatly improve Mendelian diagnostic disease prioritization 2018 ·Genetics in Medicine ·Karthik A. Jagadeesh, Johannes Birgmeier, Harendra Guturu, Cole A. Deisseroth, Aaron M. Wenger, Jonathan A. Bernstein, Gill Bejerano	28
6	EMPOWERING MULTI-COHORT GENE EXPRESSION ANALYSIS TO INCREASE REPRODUCIBILITY 2016 ·PubMed ·Winston Haynes, Francesco Vallania, Charles Y. Liu, Erika Bongen, Aurelie Tomczak, (unknown), Shane Lofgren, Andrew Tam, Cole A. Deisseroth, Matthew Li, Timothy E. Sweeney, Purvesh Khatri	77

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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