Dan Feng

38 papers and 400 indexed citations i.

About

Dan Feng is a scholar working on Surgery, Obstetrics and Gynecology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Dan Feng has authored 38 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Surgery, 15 papers in Obstetrics and Gynecology and 8 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Dan Feng’s work include Minimally Invasive Surgical Techniques (11 papers), Uterine Myomas and Treatments (11 papers) and Pelvic Floor Disorders (4 papers). Dan Feng is often cited by papers focused on Minimally Invasive Surgical Techniques (11 papers), Uterine Myomas and Treatments (11 papers) and Pelvic Floor Disorders (4 papers). Dan Feng collaborates with scholars based in China, France and The Netherlands. Dan Feng's co-authors include Hui Chen, Ling Mei, Wei Dong, Fang Fang, Xun Wang, Xun Wang, Guan J Liu, Fang Fang, Li He and Juan Zhou and has published in prestigious journals such as Scientific Reports, Cochrane library and BMC Cancer.

In The Last Decade

Co-authorship network of co-authors of Dan Feng i

Fields of papers citing papers by Dan Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dan Feng

Since Specialization
Citations

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