Xiaoping Gu
Impact in
- Physiology top 5%
- Pain Mechanisms and Treatments
Papers in
- Physiology 35
- Pain Mechanisms and Treatments 35
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- Neuropeptides and Animal Physiology 9
- Neuroscience and Neuropharmacology Research 4
- Co-authors
- Zhengliang Ma (38 shared papers)Yue Liu (12 shared papers)Myra Urness (4 shared papers)Juan Zhang (8 shared papers)Kurt Amplatz (4 shared papers)Mel J. Sharafuddin (3 shared papers)Jack L. Titus (3 shared papers)Yue Sun (11 shared papers)
- Journals
- Anesthesia & Analgesia (8 papers)Molecular Pain (6 papers)Pharmacology Biochemistry and Behavior (5 papers)Advanced Healthcare Materials (3 papers)Journal of Vascular and Interventional Radiology (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xiaoping Gu
63 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 101
- Physiology 624
- Anesthesiology and Pain Medicine 83
- Cellular and Molecular Neuroscience 304
- Pharmacology 171
- Behavioral Neuroscience 34
Countries citing papers authored by Xiaoping Gu
This map shows the geographic impact of Xiaoping Gu'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 Xiaoping Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoping Gu more than expected).
Fields of papers citing papers by Xiaoping Gu
This network shows the impact of papers produced by Xiaoping Gu. 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 Xiaoping Gu. The network helps show where Xiaoping Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoping Gu, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 182 | |
| 2 | 2016 | 101 | |
| 3 | 2009 | 88 | |
| 4 | 2009 | 60 | |
| 5 | 2018 | 58 | |
| 6 | 2012 | 50 | |
| 7 | 2011 | 46 | |
| 8 | 2013 | 45 | |
| 9 | 2014 | 35 | |
| 10 | 2010 | 34 | |
| 11 | 2020 | 30 | |
| 12 | 2002 | 30 | |
| 13 | 2015 | 29 | |
| 14 | 2009 | 29 | |
| 15 | 2014 | 29 | |
| 16 | 2012 | 28 | |
| 17 | 1997 | 28 | |
| 18 | 2008 | 27 | |
| 19 | 2017 | 27 | |
| 20 | 2020 | 26 |
About Xiaoping Gu
Xiaoping Gu is a scholar working on Physiology, Cellular and Molecular Neuroscience, Surgery, Molecular Biology and Pharmacology, having authored 63 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (35 papers), Neuropeptides and Animal Physiology (9 papers), Anesthesia and Pain Management (7 papers), Neuroscience and Neuropharmacology Research (4 papers), Musculoskeletal pain and rehabilitation (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), Biosensors and Analytical Detection (3 papers) and Pharmacological Effects of Natural Compounds (3 papers). The work is most often cited by research in Physiology (624 citations), Anesthesiology and Pain Medicine (83 citations), Cellular and Molecular Neuroscience (304 citations), Pharmacology (171 citations) and Behavioral Neuroscience (34 citations). Xiaoping Gu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zhengliang Ma, Yue Liu, Myra Urness, Juan Zhang, Kurt Amplatz, Mel J. Sharafuddin, Jack L. Titus, Yue Sun, Zhengliang Ma and Xiaoli Wu. Their work appears in journals such as Anesthesia & Analgesia, Molecular Pain, Pharmacology Biochemistry and Behavior, Advanced Healthcare Materials and Journal of Vascular and Interventional Radiology.
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.