Cong Mai

34 papers and 970 indexed citations i.

About

Cong Mai is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Cong Mai has authored 34 papers receiving a total of 970 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Oncology and 7 papers in Surgery. Recurrent topics in Cong Mai’s work include ZnO doping and properties (4 papers), Pancreatic and Hepatic Oncology Research (4 papers) and RNA modifications and cancer (3 papers). Cong Mai is often cited by papers focused on ZnO doping and properties (4 papers), Pancreatic and Hepatic Oncology Research (4 papers) and RNA modifications and cancer (3 papers). Cong Mai collaborates with scholars based in China, United States and Russia. Cong Mai's co-authors include Kenan Gündoğdu, Andrew Barrette, Linyou Cao, Yuriy G. Semenov, K. W. Kim, Yifei Yu, Yunqiang Tang, Zhenghe Jin, Yuanfeng Gong and Yadi Liao and has published in prestigious journals such as Nano Letters, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

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

Fields of papers citing papers by Cong Mai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Cong Mai

Since Specialization
Citations

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