Genentech

798 papers and 115.6k indexed citations
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About

In recent decades, authors affiliated with Genentech have published 798 papers, which have received a total of 115.6k indexed citations. Scholars at this organization have produced 414 papers in Molecular Biology, 159 papers in Immunology and 144 papers in Radiology, Nuclear Medicine and Imaging on the topics of Monoclonal and Polyclonal Antibodies Research (128 papers), Protein purification and stability (87 papers) and Viral Infectious Diseases and Gene Expression in Insects (57 papers). Their work is cited by papers focused on Molecular Biology (62.9k citations), Immunology (27.1k citations) and Oncology (21.3k citations). Authors at Genentech collaborate with scholars in United States, France and United Kingdom and have published in prestigious journals including Nature, Science and Cell. Some of Genentech's most productive authors include Avi Ashkenazi, Vishva M. Dixit, Ira Mellman, Napoleone Ferrara, William J. Henzel, Daniel S. Chen, David V. Goeddel, George Coukos, Glenn Dranoff and Xiaoju Max.

In The Last Decade

Fields of papers published by authors at Genentech

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing scholars working at Genentech

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Genentech. 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 Genentech with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Genentech 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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2026