Abbott Fund

4.7k papers and 201.9k indexed citations i.

About

In recent decades, authors affiliated with Abbott Fund have published 4.7k papers, which have received a total of 201.9k indexed citations. Scholars at this organization have produced 1.6k papers in Molecular Biology, 518 papers in Epidemiology and 516 papers in Organic Chemistry on the topics of HIV/AIDS drug development and treatment (312 papers), Receptor Mechanisms and Signaling (273 papers) and HIV Research and Treatment (260 papers). Their work is cited by papers focused on Molecular Biology (67.7k citations), Epidemiology (24.5k citations) and Infectious Diseases (24.0k citations). Authors at Abbott Fund collaborate with scholars in United States, United Kingdom and Germany and have published in prestigious journals including Nature, Science and Cell. Some of Abbott Fund's most productive authors include Stephen W. Fesik, Yvonne C. Martin, Ulrich Förstermann, David Armbruster, Michael F. Jarvis, Harald Schmidt, Masaki Nakane, John M. Leonard, Jennifer S. Pollock and Michael Decker.

In The Last Decade

Fields of papers published by authors at Abbott Fund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Abbott Fund 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 Abbott Fund at the time of their publication.

Countries citing scholars working at Abbott Fund

Since Specialization
Citations

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