New York Genome Center

910 papers and 91.6k indexed citations i.

About

In recent decades, authors affiliated with New York Genome Center have published 910 papers, which have received a total of 91.6k indexed citations. Scholars at this organization have produced 557 papers in Molecular Biology, 268 papers in Genetics and 130 papers in Cancer Research on the topics of Single-cell and spatial transcriptomics (85 papers), Genetic Associations and Epidemiology (76 papers) and RNA Research and Splicing (76 papers). Their work is cited by papers focused on Molecular Biology (55.1k citations), Genetics (16.5k citations) and Immunology (14.4k citations). Authors at New York Genome Center collaborate with scholars in United States, United Kingdom and Germany and have published in prestigious journals including Nature, Science and Cell. Some of New York Genome Center's most productive authors include Rahul Satija, Peter Smibert, Andrew Butler, Paul Hoffman, Efthymia Papalexi, Christoph Hafemeister, Tim Stuart, Joseph D. Terwilliger, Marlon Stoeckius and William M. Mauck.

In The Last Decade

Fields of papers published by authors at New York Genome Center

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with New York Genome Center at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with New York Genome Center at the time of their publication.

Countries citing scholars working at New York Genome Center

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at New York Genome Center. 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 papers produced at New York Genome Center with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites New York Genome Center more than expected).

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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