Xiaolin Bai
Impact in
- Analytical Chemistry top 5%
- Analytical chemistry methods development
- Biochemistry top 10%
- Phytochemicals and Antioxidant Activities
Papers in
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- Medicinal Plants and Neuroprotection 5
-
- melanin and skin pigmentation 7
- Co-authors
- Xun Liao (27 shared papers)Yi‐Ming Liu (7 shared papers)Mengwei Xiao (4 shared papers)Yuncong Yuan (3 shared papers)Yan Zhao (3 shared papers)Yiming Liu (3 shared papers)Yang Li (1 shared paper)Emmanuel Ayodeji Ayeni (4 shared papers)
- Journals
- Journal of Separation Science (5 papers)Analytica Chimica Acta (4 papers)Journal of Agricultural and Food Chemistry (3 papers)Microchemical Journal (3 papers)Molecules (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xiaolin Bai
44 papers receiving 659 citations
Peers
Comparison fields: 5 of 92
- Analytical Chemistry 99
- Biochemistry 50
- Complementary and alternative medicine 60
- Food Science 95
- Plant Science 174
Countries citing papers authored by Xiaolin Bai
This map shows the geographic impact of Xiaolin Bai'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 Xiaolin Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolin Bai more than expected).
Fields of papers citing papers by Xiaolin Bai
This network shows the impact of papers produced by Xiaolin Bai. 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 Xiaolin Bai. The network helps show where Xiaolin Bai may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaolin Bai, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 77 | |
| 2 | 2018 | 59 | |
| 3 | 2019 | 52 | |
| 4 | 2017 | 46 | |
| 5 | 2021 | 41 | |
| 6 | 2021 | 40 | |
| 7 | 2017 | 33 | |
| 8 | 2019 | 31 | |
| 9 | 2019 | 27 | |
| 10 | 2022 | 19 | |
| 11 | 2021 | 18 | |
| 12 | 2022 | 18 | |
| 13 | 2018 | 16 | |
| 14 | 2021 | 15 | |
| 15 | 2017 | 15 | |
| 16 | 2022 | 13 | |
| 17 | 2022 | 10 | |
| 18 | 2017 | 10 | |
| 19 | 2023 | 10 | |
| 20 | 2023 | 9 |
About Xiaolin Bai
Xiaolin Bai is a scholar working on Complementary and alternative medicine, Cell Biology, Nutrition and Dietetics, Plant Science and Analytical Chemistry, having authored 44 papers that have together received 669 indexed citations. Recurring topics across this work include Biochemical Analysis and Sensing Techniques (8 papers), melanin and skin pigmentation (7 papers), Medicinal Plants and Neuroprotection (5 papers), Polysaccharides and Plant Cell Walls (4 papers), Mycotoxins in Agriculture and Food (4 papers), Electrochemical sensors and biosensors (3 papers), Phytochemicals and Antioxidant Activities (3 papers) and Pesticide Residue Analysis and Safety (3 papers). The work is most often cited by research in Analytical Chemistry (99 citations), Biochemistry (50 citations), Complementary and alternative medicine (60 citations), Food Science (95 citations) and Plant Science (174 citations). Xiaolin Bai has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xun Liao, Yi‐Ming Liu, Mengwei Xiao, Yuncong Yuan, Yan Zhao, Yiming Liu, Yang Li, Emmanuel Ayodeji Ayeni, Yan Chun Zhao and Yadong Hu. Their work appears in journals such as Journal of Separation Science, Analytica Chimica Acta, Journal of Agricultural and Food Chemistry, Microchemical Journal and Molecules.
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.