Center for Systems Biology

844.1k citations
8.8k papers ·

Impact in

    • CRISPR and Genetic Engineering
    • RNA modifications and cancer
    • RNA Research and Splicing
    • RNA and protein synthesis mechanisms
    • Genomics and Chromatin Dynamics
    • Epigenetics and DNA Methylation
    • Advanced biosensing and bioanalysis techniques
    • Cancer-related molecular mechanisms research

Papers in

    • Gene Regulatory Network Analysis 426
    • RNA and protein synthesis mechanisms 367
    • CRISPR and Genetic Engineering 338
    • Genomics and Chromatin Dynamics 306
    • RNA Research and Splicing 302
    • Single-cell and spatial transcriptomics 299

Center for Systems Biology

8.0k papers receiving 783.4k citations

Peers

Center for Systems Biology
Comparison fields: 5 of 249
  • Molecular Biology 453.9k
  • Cancer Research 87.6k
  • Aging 8.7k
  • Immunology 71.7k
  • Genetics 91.9k
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Harvard–MIT Division of Health Sciences and Technology United States
Cancer Genetics (United States) United States
Merck & Co., Inc., Rahway, NJ, USA (United States) United States
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Citations per field
00.5×1.5×2.2×
Harvard Stem Cell Institute · 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 8.8k papers, which have received a total of 844.1k indexed citations . Scholars at this organization have produced 418 papers in Biophysics, 4.5k papers in Molecular Biology, 107 papers in Aging, 589 papers in Cancer Research and 644 papers in Cell Biology on the topics of Gene Regulatory Network Analysis (426 papers), RNA and protein synthesis mechanisms (367 papers), CRISPR and Genetic Engineering (338 papers), Genomics and Chromatin Dynamics (306 papers), RNA Research and Splicing (302 papers), Single-cell and spatial transcriptomics (299 papers), Microtubule and mitosis dynamics (271 papers) and Evolution and Genetic Dynamics (267 papers). Their work is cited by papers focused on Molecular Biology (453.9k citations), Cancer Research (87.6k citations), Aging (8.7k citations), Immunology (71.7k citations) and Genetics (91.9k 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, Cell and Nature. Some of Center for Systems Biology's most productive authors include Ralph Weissleder, Eric S. Lander, Timothy J. Mitchison, Matthias Nahrendorf, Gordon B. Mills, Pamela A. Silver, Mikaël J. Pittet, Lewis C. Cantley, Filip K. Świrski and Marc W. Kirschner.

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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