Shanshan Ni

21 papers and 337 indexed citations i.

About

Shanshan Ni is a scholar working on Molecular Biology, Cancer Research and Obstetrics and Gynecology. According to data from OpenAlex, Shanshan Ni has authored 21 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Cancer Research and 6 papers in Obstetrics and Gynecology. Recurrent topics in Shanshan Ni’s work include MicroRNA in disease regulation (6 papers), Pregnancy and preeclampsia studies (4 papers) and Circular RNAs in diseases (3 papers). Shanshan Ni is often cited by papers focused on MicroRNA in disease regulation (6 papers), Pregnancy and preeclampsia studies (4 papers) and Circular RNAs in diseases (3 papers). Shanshan Ni collaborates with scholars based in China. Shanshan Ni's co-authors include Jing Liu, Hong Peng, Rong Zhou, Yunhui Gong, Ting Guo, Jinhua Li, Wenlong He, Yanling Feng, Yuling Lin and Chao Yan and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Gene.

In The Last Decade

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

Fields of papers citing papers by Shanshan Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shanshan Ni

Since Specialization
Citations

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