Pengmian Feng

59 papers and 4.8k indexed citations i.

About

Pengmian Feng is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cancer Research. According to data from OpenAlex, Pengmian Feng has authored 59 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Molecular Biology, 5 papers in Computational Theory and Mathematics and 4 papers in Cancer Research. Recurrent topics in Pengmian Feng’s work include RNA and protein synthesis mechanisms (45 papers), Machine Learning in Bioinformatics (44 papers) and Genomics and Phylogenetic Studies (32 papers). Pengmian Feng is often cited by papers focused on RNA and protein synthesis mechanisms (45 papers), Machine Learning in Bioinformatics (44 papers) and Genomics and Phylogenetic Studies (32 papers). Pengmian Feng collaborates with scholars based in China, United States and Saudi Arabia. Pengmian Feng's co-authors include Wei Chen, Hao Lin, Kuo‐Chen Chou, Hui Ding, Hui Yang, En-Ze Deng, Yongchun Zuo, Hua Tang, Chen Ding and Hao Lv and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

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

Fields of papers citing papers by Pengmian Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pengmian Feng

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025