Bin Qi
Impact in
- Electrochemistry top 10%
- Electrochemical Analysis and Applications
-
- Advanced biosensing and bioanalysis techniques
- Ginseng Biological Effects and Applications
Papers in
-
- Microbial Metabolic Engineering and Bioproduction 5
- Advanced biosensing and bioanalysis techniques 4
- Angiogenesis and VEGF in Cancer 2
- Oncology 5
- Clusterin in disease pathology 2
- Co-authors
- Xiurong Yang (4 shared papers)Erkang Wang (2 shared papers)Li Liu (5 shared papers)Yan Du (3 shared papers)Xue‐Bo Yin (2 shared papers)Xuping Sun (1 shared paper)Hongping Xia (4 shared papers)Xiaochun Jiang (4 shared papers)
- Journals
- Neurotherapeutics (2 papers)Journal of Ethnopharmacology (2 papers)World Journal of Traditional Chinese Medicine (1 paper)Medicine (1 paper)Energy & environment materials (1 paper)
- Partner nations
- ChinaAustraliaBangladesh
In The Last Decade
Bin Qi
31 papers receiving 543 citations
Peers
Comparison fields: 5 of 79
- Electrochemistry 80
- Molecular Biology 327
- Rehabilitation 28
- Cancer Research 61
- Pathology and Forensic Medicine 48
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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 84 | |
| 2 | 2014 | 70 | |
| 3 | 2006 | 56 | |
| 4 | 2016 | 46 | |
| 5 | 2011 | 43 | |
| 6 | 2024 | 35 | |
| 7 | 2022 | 28 | |
| 8 | 2016 | 27 | |
| 9 | 2022 | 26 | |
| 10 | 2019 | 22 | |
| 11 | 2020 | 17 | |
| 12 | 2014 | 12 | |
| 13 | 2021 | 10 | |
| 14 | 2007 | 10 | |
| 15 | 2010 | 9 | |
| 16 | 2017 | 8 | |
| 17 | 1992 | 7 | |
| 18 | 2023 | 6 | |
| 19 | 2025 | 6 | |
| 20 | 2007 | 5 |
About Bin Qi
Bin Qi is a scholar working on Molecular Biology, Oncology, Electrical and Electronic Engineering, Surgery and Neurology, having authored 34 papers that have together received 556 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), Electrochemical Analysis and Applications (3 papers), Electrochemical sensors and biosensors (3 papers), Angiogenesis and VEGF in Cancer (2 papers), Enzyme Structure and Function (2 papers), Amino Acid Enzymes and Metabolism (2 papers) and Clusterin in disease pathology (2 papers). The work is most often cited by research in Electrochemistry (80 citations), Molecular Biology (327 citations), Rehabilitation (28 citations), Cancer Research (61 citations) and Pathology and Forensic Medicine (48 citations). Bin Qi has collaborated with scholars based in China, Australia and Bangladesh. Frequent co-authors include Xiurong Yang, Erkang Wang, Li Liu, Yan Du, Xue‐Bo Yin, Xuping Sun, Hongping Xia, Xiaochun Jiang, Zhichun Wang and Xueyuan Bai. Their work appears in journals such as Neurotherapeutics, Journal of Ethnopharmacology, World Journal of Traditional Chinese Medicine, Medicine and Energy & environment materials.
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.