Cong Pian

29 papers and 378 indexed citations i.

About

Cong Pian is a scholar working on Molecular Biology, Cancer Research and Artificial Intelligence. According to data from OpenAlex, Cong Pian has authored 29 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 12 papers in Cancer Research and 2 papers in Artificial Intelligence. Recurrent topics in Cong Pian’s work include Cancer-related molecular mechanisms research (10 papers), Machine Learning in Bioinformatics (9 papers) and MicroRNA in disease regulation (8 papers). Cong Pian is often cited by papers focused on Cancer-related molecular mechanisms research (10 papers), Machine Learning in Bioinformatics (9 papers) and MicroRNA in disease regulation (8 papers). Cong Pian collaborates with scholars based in China and Hong Kong. Cong Pian's co-authors include Yuanyuan Chen, Liangyun Zhang, Xiaodan Fan, Fei Li, Jin Zhang, Mingmin Xu, Zhi Chen, Lingpeng Kong, Xiangyu Ma and Shining Wang and has published in prestigious journals such as Bioinformatics, PLoS ONE and BMC Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Cong Pian i

Fields of papers citing papers by Cong Pian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Cong Pian

Since Specialization
Citations

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