Johnson & Johnson (United States)

6.7k papers and 274.7k indexed citations i.

About

In recent decades, authors affiliated with Johnson & Johnson (United States) have published 6.7k papers, which have received a total of 274.7k indexed citations. Scholars at this organization have produced 1.4k papers in Molecular Biology, 752 papers in Surgery and 500 papers in Oncology on the topics of Health Systems, Economic Evaluations, Quality of Life (205 papers), Computational Drug Discovery Methods (173 papers) and Receptor Mechanisms and Signaling (169 papers). Their work is cited by papers focused on Molecular Biology (60.9k citations), Surgery (36.8k citations) and Cardiology and Cardiovascular Medicine (23.2k citations). Authors at Johnson & Johnson (United States) collaborate with scholars in United States, Belgium and United Kingdom and have published in prestigious journals including Nature, Science and New England Journal of Medicine. Some of Johnson & Johnson (United States)'s most productive authors include Karen Bush, Anne Marie Queenan, Hēnry Buchwald, Nikiforos Kollias, Robin L. Thurmond, Yoav Avidor, Philip Kotler, Walter J. Pories, Georgios N. Stamatas and Kyle Fahrbach.

In The Last Decade

Fields of papers published by authors at Johnson & Johnson (United States)

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Johnson & Johnson (United States) 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 Johnson & Johnson (United States) at the time of their publication.

Countries citing scholars working at Johnson & Johnson (United States)

Since Specialization

Citations

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