Fang Ni

54 papers and 1.2k indexed citations i.

About

Fang Ni is a scholar working on Epidemiology, Oncology and Immunology. According to data from OpenAlex, Fang Ni has authored 54 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 9 papers in Oncology and 9 papers in Immunology. Recurrent topics in Fang Ni’s work include CAR-T cell therapy research (9 papers), Electrochemical sensors and biosensors (6 papers) and Immune Cell Function and Interaction (5 papers). Fang Ni is often cited by papers focused on CAR-T cell therapy research (9 papers), Electrochemical sensors and biosensors (6 papers) and Immune Cell Function and Interaction (5 papers). Fang Ni collaborates with scholars based in China, United States and United Kingdom. Fang Ni's co-authors include Yinling Wang, Maoguo Li, Lun Wang, Shuihong Chen, Yi Hu, Yihua Wang, Xiaofan Liu, Lu Yang, Shudong Xu and Xuhong Ding and has published in prestigious journals such as Nature Communications, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

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

Fields of papers citing papers by Fang Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fang Ni

Since Specialization
Citations

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