Center for Systems Biology

982.7k citations
9.1k papers ·

Impact in

    • CRISPR and Genetic Engineering
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Epigenetics and DNA Methylation
    • RNA and protein synthesis mechanisms
    • Genomics and Chromatin Dynamics
    • Single-cell and spatial transcriptomics
    • Cancer-related molecular mechanisms research

Papers in

    • Gene Regulatory Network Analysis 443
    • RNA and protein synthesis mechanisms 376
    • CRISPR and Genetic Engineering 353
    • Single-cell and spatial transcriptomics 317
    • Genomics and Chromatin Dynamics 316
    • RNA Research and Splicing 307

Center for Systems Biology

8.3k papers receiving 906.3k citations

Peers

Center for Systems Biology
Comparison fields: 5 of 249
  • Molecular Biology 518.7k
  • Cancer Research 98.8k
  • Aging 9.7k
  • Immunology 88.6k
  • Genetics 111.1k
Replace Cold Spring Harbor Laboratory with:
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Harvard–MIT Division of Health Sciences and Technology United States
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Center for Systems Biology relative to Cold Spring Harbor Laboratory United States Cold Spring Harbor Laboratory's profile →
Citations per field
00.5×1.5×1.8×
Cold Spring Harbor Laboratory · 1×
Citations per year

Countries citing scholars working at Center for Systems Biology

Since Specialization
Citations

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

Fields of papers published by authors at Center for Systems Biology

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Center for Systems Biology 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 Center for Systems Biology at the time of their publication.

About Center for Systems Biology

In recent decades, authors affiliated with Center for Systems Biology have published 9.1k papers, which have received a total of 982.7k indexed citations . Scholars at this organization have produced 433 papers in Biophysics, 4.7k papers in Molecular Biology, 111 papers in Aging, 620 papers in Cancer Research and 657 papers in Cell Biology on the topics of Gene Regulatory Network Analysis (443 papers), RNA and protein synthesis mechanisms (376 papers), CRISPR and Genetic Engineering (353 papers), Single-cell and spatial transcriptomics (317 papers), Genomics and Chromatin Dynamics (316 papers), RNA Research and Splicing (307 papers), Microtubule and mitosis dynamics (280 papers) and Evolution and Genetic Dynamics (278 papers). Their work is cited by papers focused on Molecular Biology (518.7k citations), Cancer Research (98.8k citations), Aging (9.7k citations), Immunology (88.6k citations) and Genetics (111.1k citations). Authors at Center for Systems Biology collaborate with scholars in United States, China and Germany and have published in prestigious journals including Proceedings of the National Academy of Sciences, Nature Communications, PLoS ONE, Nature and Cell. Some of Center for Systems Biology's most productive authors include Ralph Weissleder, Eric S. Lander, Timothy John Mitchison, Matthias Nahrendorf, Gordon Brent Mills, Mikaël J. Pittet, Pamela A. Silver, Lewis C. Cantley, Anthony Victor D'Amico and Filip K. Świrski.

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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