Jun Feng

23 papers and 560 indexed citations i.

About

Jun Feng is a scholar working on Molecular Biology, Nephrology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Jun Feng has authored 23 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Nephrology and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Jun Feng’s work include Mitochondrial Function and Pathology (7 papers), Renal Diseases and Glomerulopathies (6 papers) and Genetic and Kidney Cyst Diseases (4 papers). Jun Feng is often cited by papers focused on Mitochondrial Function and Pathology (7 papers), Renal Diseases and Glomerulopathies (6 papers) and Genetic and Kidney Cyst Diseases (4 papers). Jun Feng collaborates with scholars based in China. Jun Feng's co-authors include Guohua Ding, Jijia Hu, Zhaowei Chen, Zijing Zhu, Wei Liang, Qian Yang, Yiqiong Ma, Xueyan Yang, Dingping Yang and Yanqin Fan and has published in prestigious journals such as Kidney International, International Journal of Molecular Sciences and Cellular and Molecular Life Sciences.

In The Last Decade

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

Fields of papers citing papers by Jun Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Feng

Since Specialization
Citations

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