Bin Qi
Impact in
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- Electrochemical Analysis and Applications
Papers in
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- Bioinformatics and Genomic Networks 3
- Co-authors
- Qing‐Xiang Amy Sang (2 shared papers)Robert Newcomer (1 shared paper)Jingxian Yang (1 shared paper)Jianghua Zhang (1 shared paper)Hongyan Li (1 shared paper)Yanan Jiao (1 shared paper)Ting‐Guo Kang (1 shared paper)Liang Kong (1 shared paper)
- Journals
- Gene (2 papers)Chemical Communications (2 papers)Journal of Biological Chemistry (1 paper)BMC Nephrology (1 paper)Journal of Cardiovascular Pharmacology (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Bin Qi
36 papers receiving 713 citations
Bin Qi's Hit Papers
Peers
Comparison fields: 5 of 112
- Electrochemistry 34
- Biological Psychiatry 10
- Renewable Energy, Sustainability and the Environment 71
- Inorganic Chemistry 50
- Analytical Chemistry 33
Countries citing papers authored by Bin Qi
This map shows the geographic impact of Bin Qi'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 Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Qi more than expected).
Fields of papers citing papers by Bin Qi
This network shows the impact of papers produced by Bin Qi. 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 Qi. The network helps show where Bin Qi may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Qi, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 113 | |
| 2 | 2018 | 71 | |
| 3 | Bifunctional S-scheme sp2-carbon COF/CdS heterojunction for efficient photocatalytic H2 evolution and C–C coupling of 5-hydroxymethylfurfural Hit paper breakdown → | 2025 | 62 |
| 4 | 2020 | 53 | |
| 5 | 2011 | 52 | |
| 6 | 2009 | 51 | |
| 7 | 2014 | 43 | |
| 8 | 2017 | 35 | |
| 9 | 2014 | 29 | |
| 10 | 2021 | 23 | |
| 11 | 2020 | 20 | |
| 12 | 2014 | 19 | |
| 13 | 2013 | 17 | |
| 14 | 2021 | 14 | |
| 15 | 2017 | 14 | |
| 16 | 2014 | 14 | |
| 17 | 2021 | 13 | |
| 18 | 2024 | 11 | |
| 19 | 2021 | 9 | |
| 20 | 2023 | 7 |
About Bin Qi
Bin Qi is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Immunology, Oncology and Organic Chemistry, having authored 39 papers that have together received 725 indexed citations. Recurring topics across this work include Advanced Photocatalysis Techniques (3 papers), Bioinformatics and Genomic Networks (3 papers), Metal-Organic Frameworks: Synthesis and Applications (2 papers), Molecular Sensors and Ion Detection (2 papers), IL-33, ST2, and ILC Pathways (2 papers), HER2/EGFR in Cancer Research (2 papers), Plasma Applications and Diagnostics (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Electrochemistry (34 citations), Biological Psychiatry (10 citations), Renewable Energy, Sustainability and the Environment (71 citations), Inorganic Chemistry (50 citations) and Analytical Chemistry (33 citations). Bin Qi has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Qing‐Xiang Amy Sang, Robert Newcomer, Jingxian Yang, Jianghua Zhang, Hongyan Li, Yanan Jiao, Ting‐Guo Kang, Liang Kong, Wenjing Wang and Shuai Zhang. Their work appears in journals such as Gene, Chemical Communications, Journal of Biological Chemistry, BMC Nephrology and Journal of Cardiovascular Pharmacology.
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.