Nan Ni

27 papers and 388 indexed citations i.

About

Nan Ni is a scholar working on Molecular Biology, Reproductive Medicine and Surgery. According to data from OpenAlex, Nan Ni has authored 27 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Reproductive Medicine and 4 papers in Surgery. Recurrent topics in Nan Ni’s work include Reproductive System and Pregnancy (4 papers), Epigenetics and DNA Methylation (3 papers) and Endometriosis Research and Treatment (3 papers). Nan Ni is often cited by papers focused on Reproductive System and Pregnancy (4 papers), Epigenetics and DNA Methylation (3 papers) and Endometriosis Research and Treatment (3 papers). Nan Ni collaborates with scholars based in United States, China and France. Nan Ni's co-authors include Qinglei Li, James D. Yager, Xin Fang, Joanne Zurlo, Wen‐Bin Ou, John P. Lydon, Xu Hou, Zhifa Cao, Guozhu Liu and Yuan Qiu and has published in prestigious journals such as PLoS ONE, Hepatology and Oncogene.

In The Last Decade

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

Fields of papers citing papers by Nan Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nan Ni

Since Specialization
Citations

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