Kaiqing Ma
Impact in
- Biochemistry top 5%
- Sulfur Compounds in Biology
- Organic Chemistry top 5%
- Catalytic C–H Functionalization Methods
- Chemical synthesis and alkaloids
- Advanced Synthetic Organic Chemistry
- Asymmetric Synthesis and Catalysis
Papers in
- Biochemistry 14
- Sulfur Compounds in Biology 12
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- Chemical synthesis and alkaloids 9
- Advanced Synthetic Organic Chemistry 5
- Co-authors
- Mingji Dai (4 shared papers)Xianglin Yin (4 shared papers)Caixia Yin (19 shared papers)Fangjun Huo (16 shared papers)Yongkang Yue (12 shared papers)Brandon S. Martin (1 shared paper)Jianbin Chao (7 shared papers)Lingling Zhao (4 shared papers)
- Journals
- Chinese Chemical Letters (4 papers)Chemical Communications (3 papers)Chemical Science (3 papers)Tetrahedron Letters (2 papers)New Journal of Chemistry (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Kaiqing Ma
34 papers receiving 682 citations
Peers
Comparison fields: 5 of 72
- Biochemistry 151
- Organic Chemistry 363
- Spectroscopy 165
- Pharmacology 61
- Process Chemistry and Technology 14
Countries citing papers authored by Kaiqing Ma
This map shows the geographic impact of Kaiqing Ma'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 Kaiqing Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaiqing Ma more than expected).
Fields of papers citing papers by Kaiqing Ma
This network shows the impact of papers produced by Kaiqing Ma. 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 Kaiqing Ma. The network helps show where Kaiqing Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaiqing Ma, 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 | 2018 | 117 | |
| 2 | 2018 | 68 | |
| 3 | 2011 | 55 | |
| 4 | 2020 | 41 | |
| 5 | 2021 | 35 | |
| 6 | 2021 | 35 | |
| 7 | 2023 | 33 | |
| 8 | 2022 | 27 | |
| 9 | 2020 | 27 | |
| 10 | 2021 | 26 | |
| 11 | 2020 | 25 | |
| 12 | 2020 | 23 | |
| 13 | 2020 | 22 | |
| 14 | 2021 | 18 | |
| 15 | 2010 | 15 | |
| 16 | 2020 | 14 | |
| 17 | 2018 | 13 | |
| 18 | 2022 | 9 | |
| 19 | 2023 | 8 | |
| 20 | 2020 | 8 |
About Kaiqing Ma
Kaiqing Ma is a scholar working on Biochemistry, Organic Chemistry, Molecular Biology, Pharmacology and Spectroscopy, having authored 35 papers that have together received 690 indexed citations. Recurring topics across this work include Sulfur Compounds in Biology (12 papers), Chemical synthesis and alkaloids (9 papers), Molecular Sensors and Ion Detection (8 papers), Nanoplatforms for cancer theranostics (7 papers), Advanced Synthetic Organic Chemistry (5 papers), Luminescence and Fluorescent Materials (4 papers), Alkaloids: synthesis and pharmacology (4 papers) and Advanced biosensing and bioanalysis techniques (3 papers). The work is most often cited by research in Biochemistry (151 citations), Organic Chemistry (363 citations), Spectroscopy (165 citations), Pharmacology (61 citations) and Process Chemistry and Technology (14 citations). Kaiqing Ma has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Mingji Dai, Xianglin Yin, Caixia Yin, Fangjun Huo, Yongkang Yue, Brandon S. Martin, Jianbin Chao, Lingling Zhao, Xingkang Wu and Deyong Ye. Their work appears in journals such as Chinese Chemical Letters, Chemical Communications, Chemical Science, Tetrahedron Letters and New Journal of Chemistry.
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.