Sheng Nie

77 papers and 2.0k indexed citations i.

About

Sheng Nie is a scholar working on Nephrology, Molecular Biology and Neurology. According to data from OpenAlex, Sheng Nie has authored 77 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Nephrology, 15 papers in Molecular Biology and 13 papers in Neurology. Recurrent topics in Sheng Nie’s work include Chronic Kidney Disease and Diabetes (13 papers), Acute Kidney Injury Research (11 papers) and Renal Diseases and Glomerulopathies (6 papers). Sheng Nie is often cited by papers focused on Chronic Kidney Disease and Diabetes (13 papers), Acute Kidney Injury Research (11 papers) and Renal Diseases and Glomerulopathies (6 papers). Sheng Nie collaborates with scholars based in China, United States and Macao. Sheng Nie's co-authors include Xin Xu, Fan Fan Hou, Hanying Ding, Fan Fan Hou, Gang Xu, Guobao Wang, Yang Luo, Jian Geng, Yong-Ping Wang and Tao Lu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Annals of Internal Medicine.

In The Last Decade

Co-authorship network of co-authors of Sheng Nie i

Fields of papers citing papers by Sheng Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sheng Nie. 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 Sheng Nie. The network helps show where Sheng Nie may publish in the future.

Countries citing papers authored by Sheng Nie

Since Specialization
Citations

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