Xiaomi (China)

463 papers and 5.4k indexed citations i.

About

In recent decades, authors affiliated with Xiaomi (China) have published 463 papers, which have received a total of 5.4k indexed citations. Scholars at this organization have produced 74 papers in Molecular Biology, 59 papers in Surgery and 41 papers in Pulmonary and Respiratory Medicine on the topics of Nerve injury and regeneration (26 papers), Spinal Cord Injury Research (17 papers) and Nerve Injury and Rehabilitation (14 papers). Their work is cited by papers focused on Molecular Biology (1.3k citations), Surgery (657 citations) and Pathology and Forensic Medicine (511 citations). Authors at Xiaomi (China) collaborate with scholars in China, United States and Hong Kong and have published in prestigious journals including Journal of Biological Chemistry, Circulation and The Journal of Finance. Some of Xiaomi (China)'s most productive authors include Ralph A. Kelly, Lester Kobzik, Todd Bourcier, Charles Blais, Minying Pu, Xiaoli Liu, Jun‐ichi Oyama, Xiao‐Ming Xu, Xiaomin Wang and Jiannong Cao.

In The Last Decade

Fields of papers published by authors at Xiaomi (China)

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Xiaomi (China) 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 Xiaomi (China) at the time of their publication.

Countries citing scholars working at Xiaomi (China)

Since Specialization
Citations

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