Xiaofen He
Impact in
-
- Acupuncture Treatment Research Studies
- Physiology top 5%
- Pain Mechanisms and Treatments
- Adenosine and Purinergic Signaling
Papers in
- Physiology 37
- Pain Mechanisms and Treatments 35
- Adenosine and Purinergic Signaling 3
-
- Acupuncture Treatment Research Studies 29
- Co-authors
- Jianqiao Fang (38 shared papers)Yongliang Jiang (37 shared papers)Xiaomei Shao (39 shared papers)Junying Du (16 shared papers)Yi Liang (17 shared papers)Boyi Liu (18 shared papers)Zui Shen (18 shared papers)Boyu Liu (13 shared papers)
- Journals
- Medicine (5 papers)Molecular Neurobiology (4 papers)Evidence-based Complementary and Alternative Medicine (4 papers)Chinese Medicine (4 papers)Journal of Pain Research (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaofen He
63 papers receiving 748 citations
Peers
Comparison fields: 5 of 86
- Complementary and alternative medicine 247
- Physiology 326
- Behavioral Neuroscience 31
- Physiology 33
- Neurology 46
Countries citing papers authored by Xiaofen He
This map shows the geographic impact of Xiaofen He'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 Xiaofen He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaofen He more than expected).
Fields of papers citing papers by Xiaofen He
This network shows the impact of papers produced by Xiaofen He. 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 Xiaofen He. The network helps show where Xiaofen He may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaofen He, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 52 | |
| 2 | 2018 | 47 | |
| 3 | 2022 | 42 | |
| 4 | 2017 | 32 | |
| 5 | 2017 | 32 | |
| 6 | 2021 | 29 | |
| 7 | 2023 | 28 | |
| 8 | 2019 | 27 | |
| 9 | 2013 | 25 | |
| 10 | 2023 | 25 | |
| 11 | 2023 | 23 | |
| 12 | 2015 | 22 | |
| 13 | 2020 | 22 | |
| 14 | 2015 | 20 | |
| 15 | 2022 | 20 | |
| 16 | 2023 | 18 | |
| 17 | 2023 | 15 | |
| 18 | 2016 | 15 | |
| 19 | 2022 | 13 | |
| 20 | 2021 | 13 |
About Xiaofen He
Xiaofen He is a scholar working on Physiology, Complementary and alternative medicine, Cognitive Neuroscience, Pharmacology and Cellular and Molecular Neuroscience, having authored 69 papers that have together received 757 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (35 papers), Acupuncture Treatment Research Studies (29 papers), Pain Management and Placebo Effect (11 papers), Infrared Thermography in Medicine (5 papers), Neuropeptides and Animal Physiology (5 papers), Myofascial pain diagnosis and treatment (4 papers), Healthcare and Venom Research (4 papers) and Adenosine and Purinergic Signaling (3 papers). The work is most often cited by research in Complementary and alternative medicine (247 citations), Physiology (326 citations), Behavioral Neuroscience (31 citations), Physiology (33 citations) and Neurology (46 citations). Xiaofen He has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jianqiao Fang, Yongliang Jiang, Xiaomei Shao, Junying Du, Yi Liang, Boyi Liu, Zui Shen, Boyu Liu, Junfan Fang and Junjun Wei. Their work appears in journals such as Medicine, Molecular Neurobiology, Evidence-based Complementary and Alternative Medicine, Chinese Medicine and Journal of Pain Research.
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.