Cong Mai
Impact in
- Materials Chemistry top 10%
- 2D Materials and Applications
- Graphene research and applications
- MXene and MAX Phase Materials
- Quantum Dots Synthesis And Properties
- ZnO doping and properties
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- Perovskite Materials and Applications
- Chalcogenide Semiconductor Thin Films
Papers in
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- RNA modifications and cancer 3
- Oncology 8
- Pancreatic and Hepatic Oncology Research 4
- Co-authors
- Kenan Gündoğdu (3 shared papers)Yifei Yu (2 shared papers)Andrew Barrette (2 shared papers)Linyou Cao (2 shared papers)K. W. Kim (2 shared papers)Yuriy G. Semenov (2 shared papers)Yunqiang Tang (12 shared papers)Zhenghe Jin (1 shared paper)
- Journals
- Medical Oncology (3 papers)Nutrients (2 papers)Physical Review B (2 papers)Scientific Reports (1 paper)The Journal of Physical Chemistry C (1 paper)
- Partner nations
- ChinaUnited StatesVietnam
In The Last Decade
Cong Mai
36 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 94
- Materials Chemistry 552
- Electrical and Electronic Engineering 402
- Cancer Research 98
- Nephrology 42
- Hepatology 35
Countries citing papers authored by Cong Mai
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).
Fields of papers citing papers by Cong Mai
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.
Co-authors
The 25 scholars most cited alongside Cong Mai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 412 | |
| 2 | 2014 | 108 | |
| 3 | 2021 | 70 | |
| 4 | 2017 | 50 | |
| 5 | 2013 | 42 | |
| 6 | 2016 | 33 | |
| 7 | 2024 | 32 | |
| 8 | 2009 | 32 | |
| 9 | 2014 | 30 | |
| 10 | 2023 | 28 | |
| 11 | 2008 | 26 | |
| 12 | 2017 | 19 | |
| 13 | 2014 | 18 | |
| 14 | 2014 | 14 | |
| 15 | 2022 | 12 | |
| 16 | 2014 | 12 | |
| 17 | 2017 | 10 | |
| 18 | 2014 | 9 | |
| 19 | 2023 | 8 | |
| 20 | 2023 | 7 |
About Cong Mai
Cong Mai is a scholar working on Molecular Biology, Oncology, Surgery, Pulmonary and Respiratory Medicine and Cancer Research, having authored 36 papers that have together received 1.0k indexed citations. Recurring topics across this work include ZnO doping and properties (4 papers), Pancreatic and Hepatic Oncology Research (4 papers), Cancer, Lipids, and Metabolism (3 papers), RNA modifications and cancer (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Magnetic and transport properties of perovskites and related materials (2 papers), Cardiovascular Effects of Exercise (2 papers) and Perovskite Materials and Applications (2 papers). The work is most often cited by research in Materials Chemistry (552 citations), Electrical and Electronic Engineering (402 citations), Cancer Research (98 citations), Nephrology (42 citations) and Hepatology (35 citations). Cong Mai has collaborated with scholars based in China, United States and Vietnam. Frequent co-authors include Kenan Gündoğdu, Yifei Yu, Andrew Barrette, Linyou Cao, K. W. Kim, Yuriy G. Semenov, Yunqiang Tang, Zhenghe Jin, Yuanfeng Gong and Tiejun Chen. Their work appears in journals such as Medical Oncology, Nutrients, Physical Review B, Scientific Reports and The Journal of Physical Chemistry C.
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.