Ming Feng

135 papers and 2.0k indexed citations i.

About

Ming Feng is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Genetics. According to data from OpenAlex, Ming Feng has authored 135 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Endocrinology, Diabetes and Metabolism, 49 papers in Surgery and 40 papers in Genetics. Recurrent topics in Ming Feng’s work include Pituitary Gland Disorders and Treatments (90 papers), Adrenal and Paraganglionic Tumors (38 papers) and Glioma Diagnosis and Treatment (31 papers). Ming Feng is often cited by papers focused on Pituitary Gland Disorders and Treatments (90 papers), Adrenal and Paraganglionic Tumors (38 papers) and Glioma Diagnosis and Treatment (31 papers). Ming Feng collaborates with scholars based in China, United States and Hong Kong. Ming Feng's co-authors include Renzhi Wang, Xinjie Bao, Yong Yao, Bing Xing, Kan Deng, Junji Wei, Wei Lian, Yanghua Fan, Xiaohai Liu and Wenbin Ma and has published in prestigious journals such as PLoS ONE, Biomaterials and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

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

Fields of papers citing papers by Ming Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ming Feng

Since Specialization
Citations

This map shows the geographic impact of Ming 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 Ming Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming 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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2025