Haichen Chu
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Anesthesiology and Pain Medicine top 10%
Papers in
-
- Neuropeptides and Animal Physiology 8
- Nerve injury and regeneration 4
- Physiology 11
- Pain Mechanisms and Treatments 10
- Adenosine and Purinergic Signaling 2
- Co-authors
- Yongxin Liang (8 shared papers)Torsten Gordh (1 shared paper)Hari Shanker Sharma (1 shared paper)Yang Zhao (4 shared papers)Yanan Jiang (1 shared paper)Yuan Li (1 shared paper)He Dong (3 shared papers)Ying Yan (2 shared papers)
- Journals
- BMC Nephrology (2 papers)Medicine (2 papers)BMC Anesthesiology (2 papers)Neurological Research (2 papers)Tissue and Cell (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Haichen Chu
43 papers receiving 749 citations
Peers
Comparison fields: 5 of 76
- Neurology 95
- Anesthesiology and Pain Medicine 46
- Critical Care and Intensive Care Medicine 39
- Physiology 214
- Cellular and Molecular Neuroscience 157
Countries citing papers authored by Haichen Chu
This map shows the geographic impact of Haichen Chu'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 Haichen Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haichen Chu more than expected).
Fields of papers citing papers by Haichen Chu
This network shows the impact of papers produced by Haichen Chu. 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 Haichen Chu. The network helps show where Haichen Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Haichen Chu, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 92 | |
| 2 | 2016 | 53 | |
| 3 | 2020 | 47 | |
| 4 | 2018 | 42 | |
| 5 | 2012 | 42 | |
| 6 | 2018 | 39 | |
| 7 | 2018 | 34 | |
| 8 | 2021 | 28 | |
| 9 | 2011 | 23 | |
| 10 | 2019 | 22 | |
| 11 | 2019 | 20 | |
| 12 | Analgesic effect of TAK-242 on neuropathic pain in rats. | 2015 | 20 |
| 13 | 2012 | 18 | |
| 14 | 2015 | 18 | |
| 15 | 2020 | 18 | |
| 16 | 2012 | 17 | |
| 17 | 2019 | 17 | |
| 18 | 2021 | 16 | |
| 19 | 2018 | 16 | |
| 20 | 2021 | 16 |
About Haichen Chu
Haichen Chu is a scholar working on Cellular and Molecular Neuroscience, Physiology, Surgery, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 43 papers that have together received 756 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (10 papers), Neuropeptides and Animal Physiology (8 papers), Anesthesia and Pain Management (5 papers), Nerve injury and regeneration (4 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Intensive Care Unit Cognitive Disorders (3 papers) and Adenosine and Purinergic Signaling (2 papers). The work is most often cited by research in Neurology (95 citations), Anesthesiology and Pain Medicine (46 citations), Critical Care and Intensive Care Medicine (39 citations), Physiology (214 citations) and Cellular and Molecular Neuroscience (157 citations). Haichen Chu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yongxin Liang, Torsten Gordh, Hari Shanker Sharma, Yang Zhao, Yanan Jiang, Yuan Li, He Dong, Ying Yan, Hongmei Xu and Jie Gao. Their work appears in journals such as BMC Nephrology, Medicine, BMC Anesthesiology, Neurological Research and Tissue and Cell.
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.