UCSF ChimeraX: Structure visualization for researchers, educators, and developers

Article Properties
  • Language
    English
  • DOI (url)
  • Publication Date
    2020/10/22
  • Journal
  • Indian UGC (Journal)
  • Refrences
    38
  • Citations
    3,309
  • Eric F. Pettersen Department of Pharmaceutical Chemistry University of California San Francisco San Francisco California USA
  • Thomas D. Goddard Department of Pharmaceutical Chemistry University of California San Francisco San Francisco California USA
  • Conrad C. Huang Department of Pharmaceutical Chemistry University of California San Francisco San Francisco California USA
  • Elaine C. Meng Department of Pharmaceutical Chemistry University of California San Francisco San Francisco California USA
  • Gregory S. Couch Department of Pharmaceutical Chemistry University of California San Francisco San Francisco California USA
  • Tristan I. Croll Cambridge Institute for Medical Research, Department of Haematology University of Cambridge Cambridge UK
  • John H. Morris Department of Pharmaceutical Chemistry University of California San Francisco San Francisco California USA ORCID (unauthenticated)
  • Thomas E. Ferrin Department of Pharmaceutical Chemistry University of California San Francisco San Francisco California USA ORCID (unauthenticated)
Abstract
Cite
Pettersen, Eric F., et al. “UCSF ChimeraX: Structure Visualization for Researchers, Educators, and Developers”. Protein Science, vol. 30, no. 1, 2020, pp. 70-82, https://doi.org/10.1002/pro.3943.
Pettersen, E. F., Goddard, T. D., Huang, C. C., Meng, E. C., Couch, G. S., Croll, T. I., Morris, J. H., & Ferrin, T. E. (2020). UCSF ChimeraX: Structure visualization for researchers, educators, and developers. Protein Science, 30(1), 70-82. https://doi.org/10.1002/pro.3943
Pettersen EF, Goddard TD, Huang CC, Meng EC, Couch GS, Croll TI, et al. UCSF ChimeraX: Structure visualization for researchers, educators, and developers. Protein Science. 2020;30(1):70-82.
Refrences
Citations
Citations Analysis
The first research to cite this article was titled Paired Heavy and Light Chain Signatures Contribute to Potent SARS-CoV-2 Neutralization in Public Antibody Responses and was published in 2020. The most recent citation comes from a 2024 study titled Paired Heavy and Light Chain Signatures Contribute to Potent SARS-CoV-2 Neutralization in Public Antibody Responses . This article reached its peak citation in 2023 , with 1,450 citations.It has been cited in 664 different journals, 25% of which are open access. Among related journals, the Nature Communications cited this research the most, with 367 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year