Chan Zuckerberg Initiative (United States)

126.2k citations
2.5k papers ·

Impact in

    • Single-cell and spatial transcriptomics
    • Gut microbiota and health
    • CRISPR and Genetic Engineering
    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Advanced biosensing and bioanalysis techniques
  • Biophysics top 2%

Papers in

Chan Zuckerberg Initiative (United States)

2.2k papers receiving 117.5k citations

Peers

Chan Zuckerberg Initiative (United States)
Comparison fields: 5 of 238
  • Molecular Biology 64.3k
  • Biophysics 4.7k
  • Aging 1.3k
  • Immunology 13.3k
  • Infectious Diseases 10.0k
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Chan Zuckerberg Initiative (United States) relative to QB3 United States QB3's profile →
Citations per field
00.5×1.5×
QB3 · 1×
Citations per year

Countries citing scholars working at Chan Zuckerberg Initiative (United States)

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Chan Zuckerberg Initiative (United States). 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 Chan Zuckerberg Initiative (United States) with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chan Zuckerberg Initiative (United States) more than expected).

Fields of papers published by authors at Chan Zuckerberg Initiative (United States)

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Chan Zuckerberg Initiative (United States) 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 Chan Zuckerberg Initiative (United States) at the time of their publication.

About Chan Zuckerberg Initiative (United States)

In recent decades, authors affiliated with Chan Zuckerberg Initiative (United States) have published 2.5k papers, which have received a total of 126.2k indexed citations . Scholars at this organization have produced 153 papers in Biophysics, 31 papers in Structural Biology, 1.4k papers in Molecular Biology, 28 papers in Aging and 225 papers in Infectious Diseases on the topics of Single-cell and spatial transcriptomics (224 papers), RNA and protein synthesis mechanisms (170 papers), CRISPR and Genetic Engineering (170 papers), Gut microbiota and health (152 papers), Genomics and Phylogenetic Studies (107 papers), Advanced biosensing and bioanalysis techniques (103 papers), RNA Research and Splicing (97 papers) and Genomics and Chromatin Dynamics (96 papers). Their work is cited by papers focused on Molecular Biology (64.3k citations), Biophysics (4.7k citations), Aging (1.3k citations), Immunology (13.3k citations) and Infectious Diseases (10.0k citations). Authors at Chan Zuckerberg Initiative (United States) collaborate with scholars in United States, United Kingdom and Germany and have published in prestigious journals including Nature Communications, Proceedings of the National Academy of Sciences, eLife, Nature and Cell. Some of Chan Zuckerberg Initiative (United States)'s most productive authors include Stephen R. Quake, William J. Greenleaf, Zev J. Gartner, James A. Olzmann, Jure Leskovec, Christopher S. McGinnis, Lyndsay M. Murrow, Nir Yosef, Martin Kampmann and Markita P. Landry.

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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