Creative Commons

9.4k papers and 59.1k indexed citations

About

In recent decades, authors affiliated with Creative Commons have published 9.4k papers, which have received a total of 59.1k indexed citations. Scholars at this organization have produced 2.8k papers in Surgery, 1.1k papers in Pulmonary and Respiratory Medicine and 1.1k papers in Epidemiology on the topics of Reconstructive Surgery and Microvascular Techniques (482 papers), Glaucoma and retinal disorders (234 papers) and Breast Implant and Reconstruction (232 papers). Their work is cited by papers focused on Surgery (13.6k citations), Epidemiology (6.9k citations) and Pulmonary and Respiratory Medicine (6.1k citations). Authors at Creative Commons collaborate with scholars in United States, India and China and have published in prestigious journals including Science, The Lancet and Advanced Materials. Some of Creative Commons's most productive authors include Feiyu Kang, Ying Yang, Michio Inagaki, Carola Schenone, Lola Rahib, Kevin T. Nead, Lynn M. Matrisian, Mackenzie R. Wehner, Eric Swanson and Irene M.J. Mathijssen.

In The Last Decade

Creative Commons

7.4k papers receiving 58.4k citations

Fields of papers published by authors at Creative Commons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing scholars working at Creative Commons

Since Specialization
Citations

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