Shuo Niu

23 papers and 316 indexed citations i.

About

Shuo Niu is a scholar working on Surgery, Pathology and Forensic Medicine and Immunology. According to data from OpenAlex, Shuo Niu has authored 23 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 6 papers in Pathology and Forensic Medicine and 5 papers in Immunology. Recurrent topics in Shuo Niu’s work include Spine and Intervertebral Disc Pathology (6 papers), Cervical and Thoracic Myelopathy (4 papers) and AI in cancer detection (3 papers). Shuo Niu is often cited by papers focused on Spine and Intervertebral Disc Pathology (6 papers), Cervical and Thoracic Myelopathy (4 papers) and AI in cancer detection (3 papers). Shuo Niu collaborates with scholars based in United States, China and Saudi Arabia. Shuo Niu's co-authors include Zhen Bian, Ke Zen, Alexandra Tremblay, Yuan Liu, Lei Shi, Zhiyuan Lv, Koby Kidder, Ahmed M. Abdelaal, Binh Ha and Ming Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Shuo Niu i

Fields of papers citing papers by Shuo Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shuo Niu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Shuo Niu. The network helps show where Shuo Niu may publish in the future.

Countries citing papers authored by Shuo Niu

Since Specialization
Citations

This map shows the geographic impact of Shuo Niu's research. 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 Shuo Niu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuo Niu 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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2025