Quantitative BioSciences

3.9k papers and 117.1k indexed citations

About

In recent decades, authors affiliated with Quantitative BioSciences have published 3.9k papers, which have received a total of 117.1k indexed citations. Scholars at this organization have produced 1.0k papers in Molecular Biology, 366 papers in Economics and Econometrics and 315 papers in Finance on the topics of Financial Markets and Investment Strategies (192 papers), RNA and protein synthesis mechanisms (151 papers) and Protein Structure and Dynamics (103 papers). Their work is cited by papers focused on Molecular Biology (32.8k citations), Sociology and Political Science (12.4k citations) and Economics and Econometrics (7.8k citations). Authors at Quantitative BioSciences collaborate with scholars in United States, United Kingdom and Germany and have published in prestigious journals including Nature, Science and New England Journal of Medicine. Some of Quantitative BioSciences's most productive authors include Gary King, Tyler J. VanderWeele, David Lazer, Justin Grimmer, Brandon Stewart, Karim R. Lakhani, Jonathan S. Weissman, Stefano M. Iacus, Giuseppe Porro and Nicholas T. Ingolia.

In The Last Decade

Quantitative BioSciences

3.4k papers receiving 115.5k citations

Countries citing scholars working at Quantitative BioSciences

Since Specialization
Citations

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

Fields of papers published by authors at Quantitative BioSciences

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Quantitative BioSciences 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 Quantitative BioSciences at the time of their publication.

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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2026