Joint Center for Structural Genomics

51.5k citations
999 papers ·

Impact in

    • Protein Structure and Dynamics
    • RNA and protein synthesis mechanisms
    • Genomics and Phylogenetic Studies
    • Metabolomics and Mass Spectrometry Studies

Papers in

    • Protein Structure and Dynamics 184
    • RNA and protein synthesis mechanisms 133
    • Biochemical and Molecular Research 84
    • Genomics and Phylogenetic Studies 54
    • Enzyme Structure and Function 281

Joint Center for Structural Genomics

941 papers receiving 48.3k citations

Peers

Joint Center for Structural Genomics
Comparison fields: 5 of 226
  • Molecular Biology 27.8k
  • Endocrinology 1.5k
  • Biological Psychiatry 665
  • Virology 1.1k
  • Genetics 6.6k
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Joint Center for Structural Genomics relative to Genomics Institute of the Novartis Research Foundation United States Genomics Institute of the Novartis Research Foundation's profile →
Citations per field
00.5×3.6×
Genomics Institute of the Novartis Research Foundation · 1×
Citations per year

Countries citing scholars working at Joint Center for Structural Genomics

Since Specialization
Citations

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

Fields of papers published by authors at Joint Center for Structural Genomics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Joint Center for Structural Genomics 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 Joint Center for Structural Genomics at the time of their publication.

About Joint Center for Structural Genomics

In recent decades, authors affiliated with Joint Center for Structural Genomics have published 999 papers, which have received a total of 51.5k indexed citations . Scholars at this organization have produced 650 papers in Molecular Biology, 294 papers in Materials Chemistry, 27 papers in Molecular Medicine, 11 papers in Biological Psychiatry and 118 papers in Genetics on the topics of Enzyme Structure and Function (281 papers), Protein Structure and Dynamics (184 papers), RNA and protein synthesis mechanisms (133 papers), Biochemical and Molecular Research (84 papers), Bacterial Genetics and Biotechnology (65 papers), Genomics and Phylogenetic Studies (54 papers), Peptidase Inhibition and Analysis (31 papers) and Mass Spectrometry Techniques and Applications (30 papers). Their work is cited by papers focused on Molecular Biology (27.8k citations), Endocrinology (1.5k citations), Biological Psychiatry (665 citations), Virology (1.1k citations) and Genetics (6.6k citations). Authors at Joint Center for Structural Genomics collaborate with scholars in United States, Canada and United Kingdom and have published in prestigious journals including Journal of Biological Chemistry, Protein Science, Proteins Structure Function and Bioinformatics, Journal of Structural and Functional Genomics and Proceedings of the National Academy of Sciences. Some of Joint Center for Structural Genomics's most productive authors include A. Joachimiak, Ian A. Wilson, Adam Godzik, Ming T. Tsuang, W. Minor, James U. Bowie, Scott A. Lesley, Alexei Savchenko, G.T. Montelione and Henry van den Bedem.

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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