Fei-Da Ni

11 papers and 379 indexed citations i.

About

Fei-Da Ni is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Molecular Biology. According to data from OpenAlex, Fei-Da Ni has authored 11 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Reproductive Medicine, 5 papers in Public Health, Environmental and Occupational Health and 3 papers in Molecular Biology. Recurrent topics in Fei-Da Ni’s work include Sperm and Testicular Function (5 papers), Reproductive Biology and Fertility (5 papers) and Endometriosis Research and Treatment (4 papers). Fei-Da Ni is often cited by papers focused on Sperm and Testicular Function (5 papers), Reproductive Biology and Fertility (5 papers) and Endometriosis Research and Treatment (4 papers). Fei-Da Ni collaborates with scholars based in China and United States. Fei-Da Ni's co-authors include Wan-Xi Yang, Shuang-Li Hao, Siwen Wang, Dan Zhang, Ruixue Chen, Xilin Shen, Jianhua Chen, Yun Huang, Jianpeng Chen and Xiao Xu and has published in prestigious journals such as Nature Communications, Gene and Biology of Reproduction.

In The Last Decade

Co-authorship network of co-authors of Fei-Da Ni i

Fields of papers citing papers by Fei-Da Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fei-Da Ni

Since Specialization
Citations

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