In-Q-Tel

16.2k papers and 528.2k indexed citations i.

About

In recent decades, authors affiliated with In-Q-Tel have published 16.2k papers, which have received a total of 528.2k indexed citations. Scholars at this organization have produced 3.2k papers in Molecular Biology, 1.8k papers in Surgery and 1.5k papers in Oncology on the topics of Oral microbiology and periodontitis research (347 papers), Trace Elements in Health (328 papers) and Wound Healing and Treatments (310 papers). Their work is cited by papers focused on Molecular Biology (121.4k citations), Oncology (57.0k citations) and Surgery (50.4k citations). Authors at In-Q-Tel collaborate with scholars in United States, China and United Kingdom and have published in prestigious journals including Physical Review Letters, JAMA and Nucleic Acids Research. Some of In-Q-Tel's most productive authors include Freddie Bray, David Forman, Jacques Ferlay, Hai‐Rim Shin, Donald Maxwell Parkin, Colin Mathers, Paul A. Keddy, Rachna Shah, Roger G. Schroeder and Antony Paulraj.

In The Last Decade

Fields of papers published by authors at In-Q-Tel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with In-Q-Tel 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 In-Q-Tel at the time of their publication.

Countries citing scholars working at In-Q-Tel

Since Specialization
Citations

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

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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2025