Na Di

41 papers and 545 indexed citations i.

About

Na Di is a scholar working on Molecular Biology, Reproductive Medicine and Materials Chemistry. According to data from OpenAlex, Na Di has authored 41 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Reproductive Medicine and 6 papers in Materials Chemistry. Recurrent topics in Na Di’s work include Ovarian function and disorders (6 papers), TGF-β signaling in diseases (3 papers) and Reproductive Biology and Fertility (3 papers). Na Di is often cited by papers focused on Ovarian function and disorders (6 papers), TGF-β signaling in diseases (3 papers) and Reproductive Biology and Fertility (3 papers). Na Di collaborates with scholars based in China, United States and Japan. Na Di's co-authors include Huimian Xu, Tao Xia, Lei Li, Zuobing Liang, Dongzi Yang, Zongmin Du, Zhi‐Feng Miao, Zhenning Wang, Zhe Sun and Funan Liu and has published in prestigious journals such as PLoS ONE, Physical Chemistry Chemical Physics and Fertility and Sterility.

In The Last Decade

Co-authorship network of co-authors of Na Di i

Fields of papers citing papers by Na Di

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Na Di

Since Specialization
Citations

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