Stem Cell Network

290 papers and 10.5k indexed citations i.

About

In recent decades, authors affiliated with Stem Cell Network have published 290 papers, which have received a total of 10.5k indexed citations. Scholars at this organization have produced 119 papers in Nuclear and High Energy Physics, 68 papers in Molecular Biology and 50 papers in Astronomy and Astrophysics on the topics of Magnetic confinement fusion research (116 papers), Ionosphere and magnetosphere dynamics (48 papers) and Materials Challenges in Fusion Energy Research (43 papers). Their work is cited by papers focused on Molecular Biology (4.9k citations), Physiology (2.1k citations) and Surgery (1.3k citations). Authors at Stem Cell Network collaborate with scholars in Canada, United States and France and have published in prestigious journals including Nature, Cell and Proceedings of the National Academy of Sciences. Some of Stem Cell Network's most productive authors include Terry J. Beveridge, Michael A. Rudnicki, C. Florian Bentzinger, Fabien Le Grand, Yu Xin Wang, Shihuan Kuang, Anthony Scimè, Patrick Seale, Paul Tempst and Shingo Kajimura.

In The Last Decade

Fields of papers published by authors at Stem Cell Network

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Stem Cell Network 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 Stem Cell Network at the time of their publication.

Countries citing scholars working at Stem Cell Network

Since Specialization
Citations

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

Explore institutions with similar magnitude of impact

Rankless by CCL
2025