Mingming Guan
Impact in
- Bioengineering top 10%
- Analytical Chemistry top 10%
- Analytical chemistry methods development
Papers in
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- Molecular Sensors and Ion Detection 5
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- Bacterial biofilms and quorum sensing 4
- Machine Learning in Bioinformatics 2
- Co-authors
- Shaokun Tang (4 shared papers)Jia Chen (2 shared papers)Guodong Feng (6 shared papers)Kai Li (2 shared papers)Zhiquan Zhang (3 shared papers)Qiang Fei (4 shared papers)Hongyan Shan (4 shared papers)Kai Li (1 shared paper)
- Journals
- Journal of Agricultural and Food Chemistry (3 papers)Research (2 papers)Journal of Industrial and Engineering Chemistry (2 papers)Journal of Materials Science Materials in Electronics (1 paper)Talanta (1 paper)
- Partner nations
- ChinaHong KongSaudi Arabia
In The Last Decade
Mingming Guan
23 papers receiving 564 citations
Peers
Comparison fields: 5 of 54
- Bioengineering 10
- Analytical Chemistry 47
- Electrical and Electronic Engineering 233
- Spectroscopy 47
- Materials Chemistry 87
Countries citing papers authored by Mingming Guan
This map shows the geographic impact of Mingming Guan'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 Mingming Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingming Guan more than expected).
Fields of papers citing papers by Mingming Guan
This network shows the impact of papers produced by Mingming Guan. 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 Mingming Guan. The network helps show where Mingming Guan may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingming Guan, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 103 | |
| 2 | 2017 | 98 | |
| 3 | 2020 | 63 | |
| 4 | 2020 | 40 | |
| 5 | 2019 | 39 | |
| 6 | 2020 | 35 | |
| 7 | 2018 | 28 | |
| 8 | 2021 | 25 | |
| 9 | 2024 | 21 | |
| 10 | 2024 | 18 | |
| 11 | 2019 | 17 | |
| 12 | 2018 | 16 | |
| 13 | 2017 | 13 | |
| 14 | 2016 | 11 | |
| 15 | 2021 | 11 | |
| 16 | 2022 | 9 | |
| 17 | 2025 | 9 | |
| 18 | 2016 | 7 | |
| 19 | 2024 | 7 | |
| 20 | 2024 | 3 |
About Mingming Guan
Mingming Guan is a scholar working on Spectroscopy, Molecular Biology, Electrical and Electronic Engineering, Organic Chemistry and Geochemistry and Petrology, having authored 23 papers that have together received 577 indexed citations. Recurring topics across this work include Molecular Sensors and Ion Detection (5 papers), Bacterial biofilms and quorum sensing (4 papers), Fuel Cells and Related Materials (4 papers), Luminescence and Fluorescent Materials (2 papers), Asymmetric Synthesis and Catalysis (2 papers), Machine Learning in Bioinformatics (2 papers), Sulfur Compounds in Biology (1 paper) and Synthesis and Biological Evaluation (1 paper). The work is most often cited by research in Bioengineering (10 citations), Analytical Chemistry (47 citations), Electrical and Electronic Engineering (233 citations), Spectroscopy (47 citations) and Materials Chemistry (87 citations). Mingming Guan has collaborated with scholars based in China, Hong Kong and Saudi Arabia. Frequent co-authors include Shaokun Tang, Jia Chen, Guodong Feng, Kai Li, Zhiquan Zhang, Qiang Fei, Hongyan Shan, Kai Li, Hui Jing Xu and Fei Ding. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Research, Journal of Industrial and Engineering Chemistry, Journal of Materials Science Materials in Electronics and Talanta.
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.