Jing Ni

64 papers and 777 indexed citations i.

About

Jing Ni is a scholar working on Rheumatology, Genetics and Molecular Biology. According to data from OpenAlex, Jing Ni has authored 64 papers receiving a total of 777 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Rheumatology, 17 papers in Genetics and 15 papers in Molecular Biology. Recurrent topics in Jing Ni’s work include Systemic Lupus Erythematosus Research (19 papers), Genetic Associations and Epidemiology (9 papers) and Diabetes and associated disorders (8 papers). Jing Ni is often cited by papers focused on Systemic Lupus Erythematosus Research (19 papers), Genetic Associations and Epidemiology (9 papers) and Diabetes and associated disorders (8 papers). Jing Ni collaborates with scholars based in China, Australia and United States. Jing Ni's co-authors include Hai‐Feng Pan, Dong‐Qing Ye, Han Cen, Peng Wang, Rui‐Xue Leng, Pengfei Wen, Kang-Jia Yin, Lixin Niu, Wang‐Dong Xu and Yan Liang and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Scientific Reports and Food Chemistry.

In The Last Decade

Co-authorship network of co-authors of Jing Ni i

Fields of papers citing papers by Jing Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jing Ni

Since Specialization
Citations

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