Torrey Pines Institute For Molecular Studies

285.1k citations
3.4k papers ·

Impact in

Papers in

    • Chemical Synthesis and Analysis 332
    • Receptor Mechanisms and Signaling 134
    • Glycosylation and Glycoproteins Research 132
    • RNA and protein synthesis mechanisms 132
    • T-cell and B-cell Immunology 210
    • Immune Cell Function and Interaction 190

Torrey Pines Institute For Molecular Studies

3.3k papers receiving 273.0k citations

Peers

Torrey Pines Institute For Molecular Studies
Comparison fields: 5 of 244
  • Developmental Neuroscience 10.7k
  • Molecular Biology 144.7k
  • Virology 7.7k
  • Cellular and Molecular Neuroscience 28.1k
  • Sensory Systems 7.0k
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Citations per field
00.5×2×3.5×
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Citations per year

Countries citing scholars working at Torrey Pines Institute For Molecular Studies

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Torrey Pines Institute For Molecular Studies. 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 Torrey Pines Institute For Molecular Studies with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Torrey Pines Institute For Molecular Studies more than expected).

Fields of papers published by authors at Torrey Pines Institute For Molecular Studies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Torrey Pines Institute For Molecular Studies 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 Torrey Pines Institute For Molecular Studies at the time of their publication.

About Torrey Pines Institute For Molecular Studies

In recent decades, authors affiliated with Torrey Pines Institute For Molecular Studies have published 3.4k papers, which have received a total of 285.1k indexed citations . Scholars at this organization have produced 1.8k papers in Molecular Biology, 458 papers in Immunology, 100 papers in Virology, 293 papers in Cellular and Molecular Neuroscience and 56 papers in Developmental Neuroscience on the topics of Chemical Synthesis and Analysis (332 papers), Monoclonal and Polyclonal Antibodies Research (258 papers), T-cell and B-cell Immunology (210 papers), Immune Cell Function and Interaction (190 papers), Receptor Mechanisms and Signaling (134 papers), Glycosylation and Glycoproteins Research (132 papers), RNA and protein synthesis mechanisms (132 papers) and Click Chemistry and Applications (111 papers). Their work is cited by papers focused on Developmental Neuroscience (10.7k citations), Molecular Biology (144.7k citations), Virology (7.7k citations), Cellular and Molecular Neuroscience (28.1k citations) and Sensory Systems (7.0k citations). Authors at Torrey Pines Institute For Molecular Studies collaborate with scholars in United States, Germany and United Kingdom and have published in prestigious journals including Proceedings of the National Academy of Sciences, The Journal of Immunology, Nature, Journal of Biological Chemistry and Nucleic Acids Research. Some of Torrey Pines Institute For Molecular Studies's most productive authors include Fred H. Gage, Tony Hunter, Richard A. Houghten, Michael McClelland, John B. Welsh, Inder M. Verma, John R. Yates, Qiutang Li, Marc Montminy and Gerard Manning.

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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