Genomics Institute of the Novartis Research Foundation

146.3k citations
1.2k papers ·

Impact in

Papers in

    • Ion Channels and Receptors 45
    • RNA and protein synthesis mechanisms 70
    • Chemical Synthesis and Analysis 49
    • Ubiquitin and proteasome pathways 43

Genomics Institute of the Novartis Research Foundation

1.2k papers receiving 138.6k citations

Peers

Genomics Institute of the Novartis Research Foundation
Comparison fields: 5 of 221
  • Sensory Systems 13.4k
  • Endocrine and Autonomic Systems 11.7k
  • Aging 2.9k
  • Molecular Biology 72.0k
  • Cellular and Molecular Neuroscience 15.3k
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Genomics Institute of the Novartis Research Foundation relative to Neurological Research Institute United States Neurological Research Institute's profile →
Citations per field
00.5×6.5×
Neurological Research Institute · 1×
Citations per year

Countries citing scholars working at Genomics Institute of the Novartis Research Foundation

Since Specialization
Citations

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

Fields of papers published by authors at Genomics Institute of the Novartis Research Foundation

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Genomics Institute of the Novartis Research Foundation 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 Genomics Institute of the Novartis Research Foundation at the time of their publication.

About Genomics Institute of the Novartis Research Foundation

In recent decades, authors affiliated with Genomics Institute of the Novartis Research Foundation have published 1.2k papers, which have received a total of 146.3k indexed citations . Scholars at this organization have produced 53 papers in Sensory Systems, 713 papers in Molecular Biology, 51 papers in Endocrine and Autonomic Systems, 14 papers in Aging and 127 papers in Immunology on the topics of RNA and protein synthesis mechanisms (70 papers), Enzyme Structure and Function (53 papers), Monoclonal and Polyclonal Antibodies Research (50 papers), Chemical Synthesis and Analysis (49 papers), Malaria Research and Control (48 papers), Circadian rhythm and melatonin (45 papers), Ion Channels and Receptors (45 papers) and Ubiquitin and proteasome pathways (43 papers). Their work is cited by papers focused on Sensory Systems (13.4k citations), Endocrine and Autonomic Systems (11.7k citations), Aging (2.9k citations), Molecular Biology (72.0k citations) and Cellular and Molecular Neuroscience (15.3k citations). Authors at Genomics Institute of the Novartis Research Foundation collaborate with scholars in United States, Switzerland and United Kingdom and have published in prestigious journals including Proceedings of the National Academy of Sciences, PLoS ONE, Bioorganic & Medicinal Chemistry Letters, Journal of the American Chemical Society and Journal of Biological Chemistry. Some of Genomics Institute of the Novartis Research Foundation's most productive authors include Ardem Patapoutian, Peter G. Schultz, John B. Hogenesch, Yingyao Zhou, Elizabeth A. Winzeler, Adrienne E. Dubin, Sumit K. Chanda, Steve A. Kay, David J. Lockhart and Andrew I. Su.

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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