Bin Cong
Impact in
Papers in ⓘ
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- RNA modifications and cancer 5
- Circular RNAs in diseases 4
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- Nuclear Receptors and Signaling 4
- Neuroscience and Neuropharmacology Research 3
- Co-authors
- Chunling Ma (8 shared papers)Shujin Li (4 shared papers)Lihong Fu (2 shared papers)Lu Chen (1 shared paper)Qingqing Du (1 shared paper)Guangping Fu (1 shared paper)Xiaojing Zhang (1 shared paper)Yingmin Li (14 shared papers)
In The Last Decade
Bin Cong
29 papers receiving 400 citations
Peers
Comparison fields: 5 of 81
- Horticulture 6
- Biological Psychiatry 12
- Clinical Biochemistry 31
- Molecular Biology 289
- Cellular and Molecular Neuroscience 63
Countries citing papers authored by Bin Cong
This map shows the geographic impact of Bin Cong'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 Bin Cong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Cong more than expected).
Fields of papers citing papers by Bin Cong
This network shows the impact of papers produced by Bin Cong. 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 Bin Cong. The network helps show where Bin Cong may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Cong, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 143 | |
| 2 | 2006 | 33 | |
| 3 | 2013 | 33 | |
| 4 | 2017 | 28 | |
| 5 | 2009 | 28 | |
| 6 | 2020 | 21 | |
| 7 | 2006 | 17 | |
| 8 | 2010 | 14 | |
| 9 | 2016 | 12 | |
| 10 | 2019 | 11 | |
| 11 | 2022 | 10 | |
| 12 | 2023 | 8 | |
| 13 | Morphological changes of cerebral vessels and expression patterns of MMP-2 and MMP-9 on cerebrovascular wall of alcoholic rats. | 2014 | 7 |
| 14 | 2012 | 6 | |
| 15 | 2023 | 5 | |
| 16 | 2023 | 5 | |
| 17 | 2025 | 5 | |
| 18 | 2024 | 5 | |
| 19 | 2024 | 5 | |
| 20 | 2015 | 4 |
About Bin Cong
Bin Cong is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine, Cancer Research and Immunology, having authored 35 papers that have together received 416 indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (6 papers), RNA modifications and cancer (5 papers), Circular RNAs in diseases (4 papers), MicroRNA in disease regulation (4 papers), Nuclear Receptors and Signaling (4 papers), Tryptophan and brain disorders (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Horticulture (6 citations), Biological Psychiatry (12 citations), Clinical Biochemistry (31 citations), Molecular Biology (289 citations) and Cellular and Molecular Neuroscience (63 citations). Bin Cong has collaborated with scholars based in China and Japan. Frequent co-authors include Chunling Ma, Shujin Li, Lihong Fu, Lu Chen, Qingqing Du, Guangping Fu, Xiaojing Zhang, Yingmin Li, Ning Wu and Jian‐Quan Zheng. Their work appears in journals such as International Journal of Molecular Sciences, Frontiers in Pharmacology, Journal of Cellular and Molecular Medicine, Journal of Cellular Biochemistry and Scientific Reports.
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.