Feng Gan
Impact in
- Analytical Chemistry top 2%
- Spectroscopy and Chemometric Analyses
- Biophysics top 5%
Papers in
-
- Nanocluster Synthesis and Applications 10
- Carbon and Quantum Dots Applications 7
- Advanced Nanomaterials in Catalysis 6
-
- Spectroscopy and Chemometric Analyses 11
- Co-authors
- Jinyuan Mo (1 shared paper)Guihua Ruan (1 shared paper)Yong Li (5 shared papers)Hanqiang Zhang (5 shared papers)Guang Shao (5 shared papers)Yufei Li (4 shared papers)Gang Ye (2 shared papers)Yi‐Zeng Liang (5 shared papers)
- Journals
- Analytica Chimica Acta (5 papers)RSC Advances (4 papers)Chemometrics and Intelligent Laboratory Systems (4 papers)Sensors and Actuators B Chemical (3 papers)Journal of Chromatography A (2 papers)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Feng Gan
37 papers receiving 762 citations
Peers
Comparison fields: 5 of 106
- Analytical Chemistry 181
- Biophysics 63
- Spectroscopy 142
- Materials Chemistry 333
- Electronic, Optical and Magnetic Materials 107
Countries citing papers authored by Feng Gan
This map shows the geographic impact of Feng Gan'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 Feng Gan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Gan more than expected).
Fields of papers citing papers by Feng Gan
This network shows the impact of papers produced by Feng Gan. 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 Feng Gan. The network helps show where Feng Gan may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng Gan, 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 | 2005 | 164 | |
| 2 | 2005 | 67 | |
| 3 | 2014 | 49 | |
| 4 | 2022 | 45 | |
| 5 | 2015 | 42 | |
| 6 | 2012 | 37 | |
| 7 | 2021 | 35 | |
| 8 | 2019 | 32 | |
| 9 | 2014 | 32 | |
| 10 | 2016 | 26 | |
| 11 | 2018 | 24 | |
| 12 | 2018 | 24 | |
| 13 | 2023 | 21 | |
| 14 | 2019 | 21 | |
| 15 | 2022 | 17 | |
| 16 | 2001 | 14 | |
| 17 | 2015 | 14 | |
| 18 | 2015 | 14 | |
| 19 | 2020 | 13 | |
| 20 | 2023 | 11 |
About Feng Gan
Feng Gan is a scholar working on Materials Chemistry, Analytical Chemistry, Molecular Biology, Biomedical Engineering and Spectroscopy, having authored 39 papers that have together received 784 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (11 papers), Nanocluster Synthesis and Applications (10 papers), Advanced biosensing and bioanalysis techniques (7 papers), Carbon and Quantum Dots Applications (7 papers), Advanced Chemical Sensor Technologies (6 papers), Advanced Nanomaterials in Catalysis (6 papers), Analytical Chemistry and Chromatography (4 papers) and Water Quality Monitoring and Analysis (4 papers). The work is most often cited by research in Analytical Chemistry (181 citations), Biophysics (63 citations), Spectroscopy (142 citations), Materials Chemistry (333 citations) and Electronic, Optical and Magnetic Materials (107 citations). Feng Gan has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Jinyuan Mo, Guihua Ruan, Yong Li, Hanqiang Zhang, Guang Shao, Yufei Li, Gang Ye, Yi‐Zeng Liang, Huijuan Yu and Xiaojia Chen. Their work appears in journals such as Analytica Chimica Acta, RSC Advances, Chemometrics and Intelligent Laboratory Systems, Sensors and Actuators B Chemical and Journal of Chromatography A.
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.