Ling Nie

35 papers and 1.1k indexed citations i.

About

Ling Nie is a scholar working on Nephrology, Molecular Biology and Physiology. According to data from OpenAlex, Ling Nie has authored 35 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Nephrology, 8 papers in Molecular Biology and 6 papers in Physiology. Recurrent topics in Ling Nie’s work include Chronic Kidney Disease and Diabetes (7 papers), Dialysis and Renal Disease Management (6 papers) and Parathyroid Disorders and Treatments (5 papers). Ling Nie is often cited by papers focused on Chronic Kidney Disease and Diabetes (7 papers), Dialysis and Renal Disease Management (6 papers) and Parathyroid Disorders and Treatments (5 papers). Ling Nie collaborates with scholars based in China, United States and Macao. Ling Nie's co-authors include Jinghong Zhao, Ke Yang, Yunjian Huang, Jingbo Zhang, Xu Guan, Ting He, Tangli Xiao, Jiachuan Xiong, Junping Wang and Xinli Xu and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

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

Fields of papers citing papers by Ling Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ling Nie

Since Specialization
Citations

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