Xiaohua Pei
Impact in
- Pharmacology top 10%
- Berberine and alkaloids research
- Plant-based Medicinal Research
- Toxicology top 10%
- Bioactive Compounds and Antitumor Agents
Papers in
-
- Retinoids in leukemia and cellular processes 4
- Bone Metabolism and Diseases 3
- Genomics, phytochemicals, and oxidative stress 2
- Oncology 8
- Lymphatic System and Diseases 4
- Cancer-related Molecular Pathways 2
- Co-authors
- Yubo Guo (6 shared papers)Chunhui Wang (6 shared papers)Yufei Liu (1 shared paper)Tian An (2 shared papers)Xiaomei Hu (4 shared papers)Toshihiko Hirano (4 shared papers)Bo Yuan (4 shared papers)Hideki Hayashi (4 shared papers)
In The Last Decade
Xiaohua Pei
39 papers receiving 423 citations
Peers
Comparison fields: 5 of 69
- Pharmacology 50
- Toxicology 18
- Pharmacology 82
- Complementary and alternative medicine 38
- Molecular Biology 197
Countries citing papers authored by Xiaohua Pei
This map shows the geographic impact of Xiaohua Pei'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 Xiaohua Pei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohua Pei more than expected).
Fields of papers citing papers by Xiaohua Pei
This network shows the impact of papers produced by Xiaohua Pei. 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 Xiaohua Pei. The network helps show where Xiaohua Pei may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaohua Pei, 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 | 58 | |
| 2 | 2020 | 51 | |
| 3 | 2017 | 34 | |
| 4 | 2018 | 31 | |
| 5 | 2020 | 23 | |
| 6 | 2016 | 22 | |
| 7 | 2020 | 20 | |
| 8 | 2020 | 17 | |
| 9 | 2021 | 17 | |
| 10 | 2019 | 17 | |
| 11 | 2020 | 16 | |
| 12 | 2007 | 13 | |
| 13 | Differentiation induction of human breast cancer cells by arsenite in combination with tetrandrine. | 2019 | 11 |
| 14 | 2022 | 9 | |
| 15 | 2020 | 9 | |
| 16 | 2021 | 9 | |
| 17 | 2017 | 9 | |
| 18 | 2011 | 8 | |
| 19 | 2023 | 7 | |
| 20 | 2023 | 6 |
About Xiaohua Pei
Xiaohua Pei is a scholar working on Molecular Biology, Oncology, Pharmacology, Pharmacology and Complementary and alternative medicine, having authored 44 papers that have together received 430 indexed citations. Recurring topics across this work include Retinoids in leukemia and cellular processes (4 papers), Lymphatic System and Diseases (4 papers), Berberine and alkaloids research (4 papers), Acupuncture Treatment Research Studies (3 papers), Bone Metabolism and Diseases (3 papers), Genomics, phytochemicals, and oxidative stress (2 papers), Myofascial pain diagnosis and treatment (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Pharmacology (50 citations), Toxicology (18 citations), Pharmacology (82 citations), Complementary and alternative medicine (38 citations) and Molecular Biology (197 citations). Xiaohua Pei has collaborated with scholars based in China, Japan and Russia. Frequent co-authors include Yubo Guo, Chunhui Wang, Yufei Liu, Tian An, Xiaomei Hu, Toshihiko Hirano, Bo Yuan, Hideki Hayashi, Norio Takagi and Kefei Hu. Their work appears in journals such as Evidence-based Complementary and Alternative Medicine, Medicine, Chinese Journal of Integrative Medicine, Frontiers in Oncology and Integrative Cancer Therapies.
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.