Ya Ni

44 papers and 938 indexed citations i.

About

Ya Ni is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Molecular Biology. According to data from OpenAlex, Ya Ni has authored 44 papers receiving a total of 938 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Reproductive Medicine, 15 papers in Public Health, Environmental and Occupational Health and 14 papers in Molecular Biology. Recurrent topics in Ya Ni’s work include Sperm and Testicular Function (23 papers), Reproductive Biology and Fertility (15 papers) and Ovarian function and disorders (7 papers). Ya Ni is often cited by papers focused on Sperm and Testicular Function (23 papers), Reproductive Biology and Fertility (15 papers) and Ovarian function and disorders (7 papers). Ya Ni collaborates with scholars based in China, United States and Hong Kong. Ya Ni's co-authors include Jianmin Yu, Zhongxiang Li, Zhanghui Chen, Kun Li, Ian R. Tizard, Qi Shi, Wenming Xu, Yu Yuan, Wen Ying Chen and Qi‐Xian Shi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and FEBS Letters.

In The Last Decade

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

Fields of papers citing papers by Ya Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ya Ni

Since Specialization
Citations

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