Xiaohui Ma
Impact in
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- Traditional Chinese Medicine Analysis
- Pharmacology top 10%
- Microbial Natural Products and Biosynthesis
Papers in
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- Plant biochemistry and biosynthesis 9
- Natural product bioactivities and synthesis 3
- Genomics and Phylogenetic Studies 3
- Plant Gene Expression Analysis 2
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- Traditional Chinese Medicine Analysis 6
- Co-authors
- Juan Guo (10 shared papers)Luqi Huang (10 shared papers)Guanghong Cui (5 shared papers)Ying Ma (8 shared papers)Ye Shen (5 shared papers)Jinfu Tang (5 shared papers)Baolong Jin (3 shared papers)Tong Chen (5 shared papers)
- Journals
- Molecules (3 papers)ACS Synthetic Biology (2 papers)Nature Communications (1 paper)Biochemical and Biophysical Research Communications (1 paper)Cell Reports (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Xiaohui Ma
28 papers receiving 497 citations
Peers
Comparison fields: 5 of 62
- Complementary and alternative medicine 155
- Pharmacology 92
- Molecular Biology 375
- Pharmacology 36
- Biochemistry 25
Countries citing papers authored by Xiaohui Ma
This map shows the geographic impact of Xiaohui 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 Xiaohui Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohui Ma more than expected).
Fields of papers citing papers by Xiaohui Ma
This network shows the impact of papers produced by Xiaohui 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 Xiaohui Ma. The network helps show where Xiaohui Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaohui 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 155 | |
| 2 | 2015 | 103 | |
| 3 | 2016 | 38 | |
| 4 | 2023 | 33 | |
| 5 | 1994 | 32 | |
| 6 | 2020 | 30 | |
| 7 | 2019 | 27 | |
| 8 | 2016 | 18 | |
| 9 | 2021 | 10 | |
| 10 | 2019 | 8 | |
| 11 | 2022 | 8 | |
| 12 | 2023 | 6 | |
| 13 | 2023 | 5 | |
| 14 | 2021 | 5 | |
| 15 | 2025 | 3 | |
| 16 | 2017 | 3 | |
| 17 | 2010 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2025 | 2 | |
| 20 | 2012 | 2 |
About Xiaohui Ma
Xiaohui Ma is a scholar working on Molecular Biology, Complementary and alternative medicine, Pharmacology, Pharmacology and Plant Science, having authored 29 papers that have together received 505 indexed citations. Recurring topics across this work include Plant biochemistry and biosynthesis (9 papers), Traditional Chinese Medicine Analysis (6 papers), Microbial Natural Products and Biosynthesis (4 papers), Natural product bioactivities and synthesis (3 papers), Genomics and Phylogenetic Studies (3 papers), Plant-based Medicinal Research (3 papers), Plant Gene Expression Analysis (2 papers) and Berberine and alkaloids research (2 papers). The work is most often cited by research in Complementary and alternative medicine (155 citations), Pharmacology (92 citations), Molecular Biology (375 citations), Pharmacology (36 citations) and Biochemistry (25 citations). Xiaohui Ma has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Juan Guo, Luqi Huang, Guanghong Cui, Ying Ma, Ye Shen, Jinfu Tang, Baolong Jin, Tong Chen, Chang‐Jiang‐Sheng Lai and Yujun Zhao. Their work appears in journals such as Molecules, ACS Synthetic Biology, Nature Communications, Biochemical and Biophysical Research Communications and Cell Reports.
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.