Suzhou Institute of Systems Medicine

542 papers and 20.9k indexed citations i.

About

In recent decades, authors affiliated with Suzhou Institute of Systems Medicine have published 542 papers, which have received a total of 20.9k indexed citations. Scholars at this organization have produced 253 papers in Molecular Biology, 180 papers in Immunology and 114 papers in Oncology on the topics of interferon and immune responses (58 papers), Cancer Immunotherapy and Biomarkers (56 papers) and Immune Cell Function and Interaction (50 papers). Their work is cited by papers focused on Molecular Biology (8.9k citations), Immunology (5.5k citations) and Oncology (4.4k citations). Authors at Suzhou Institute of Systems Medicine collaborate with scholars in China, United States and France and have published in prestigious journals including Science, Cell and Proceedings of the National Academy of Sciences. Some of Suzhou Institute of Systems Medicine's most productive authors include Guido Kroemer, Lorenzo Galluzzi, Daolin Tang, Laurence Zitvogel, Oliver Kepp, Yuting Ma, Taijiao Jiang, Genhong Cheng, Lianjun Zhang and Lisa M. Coussens.

In The Last Decade

Fields of papers published by authors at Suzhou Institute of Systems Medicine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Suzhou Institute of Systems Medicine 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 Suzhou Institute of Systems Medicine at the time of their publication.

Countries citing scholars working at Suzhou Institute of Systems Medicine

Since Specialization
Citations

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