Longzhen Cheng
Impact in
- Physiology top 2%
- Pain Mechanisms and Treatments
-
- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
- Neurobiology and Insect Physiology Research
Papers in
- Physiology 12
- Pain Mechanisms and Treatments 11
-
- Neuropeptides and Animal Physiology 5
- Neuroscience and Neuropharmacology Research 4
- Co-authors
- Bo Duan (4 shared papers)Qiufu Ma (4 shared papers)Olivier Britz (3 shared papers)Lidia García‐Campmany (3 shared papers)Martyn Goulding (3 shared papers)Yun Wang (7 shared papers)Steeve Bourane (2 shared papers)Yu‐Qiu Zhang (4 shared papers)
- Journals
- Neuroscience Bulletin (4 papers)Molecular Pain (3 papers)Neuroscience (1 paper)Pain (1 paper)Cell Reports (1 paper)
- Partner nations
- ChinaUnited StatesBulgaria
In The Last Decade
Longzhen Cheng
20 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 89
- Physiology 751
- Cellular and Molecular Neuroscience 477
- Sensory Systems 111
- Dermatology 153
- Behavioral Neuroscience 52
Countries citing papers authored by Longzhen Cheng
This map shows the geographic impact of Longzhen Cheng'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 Longzhen Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Longzhen Cheng more than expected).
Fields of papers citing papers by Longzhen Cheng
This network shows the impact of papers produced by Longzhen Cheng. 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 Longzhen Cheng. The network helps show where Longzhen Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Longzhen Cheng, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 413 | |
| 2 | 2015 | 217 | |
| 3 | 2017 | 153 | |
| 4 | 2010 | 93 | |
| 5 | 2017 | 89 | |
| 6 | 2012 | 76 | |
| 7 | 2009 | 53 | |
| 8 | 2018 | 26 | |
| 9 | 2018 | 17 | |
| 10 | 2014 | 15 | |
| 11 | 2011 | 14 | |
| 12 | 2019 | 12 | |
| 13 | 2012 | 11 | |
| 14 | 2023 | 10 | |
| 15 | 2014 | 9 | |
| 16 | 2019 | 8 | |
| 17 | 2019 | 7 | |
| 18 | 2023 | 5 | |
| 19 | 2024 | 5 | |
| 20 | 2023 | 2 |
About Longzhen Cheng
Longzhen Cheng is a scholar working on Physiology, Cellular and Molecular Neuroscience, Molecular Biology, Health, Toxicology and Mutagenesis and Genetics, having authored 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (11 papers), Neuropeptides and Animal Physiology (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Ion channel regulation and function (3 papers), Mesenchymal stem cell research (2 papers), Heavy Metal Exposure and Toxicity (2 papers), Pain Management and Placebo Effect (1 paper) and Acupuncture Treatment Research Studies (1 paper). The work is most often cited by research in Physiology (751 citations), Cellular and Molecular Neuroscience (477 citations), Sensory Systems (111 citations), Dermatology (153 citations) and Behavioral Neuroscience (52 citations). Longzhen Cheng has collaborated with scholars based in China, United States and Bulgaria. Frequent co-authors include Bo Duan, Qiufu Ma, Olivier Britz, Lidia García‐Campmany, Martyn Goulding, Yun Wang, Steeve Bourane, Yu‐Qiu Zhang, Xiangyu Ren and Bradford B. Lowell. Their work appears in journals such as Neuroscience Bulletin, Molecular Pain, Neuroscience, Pain 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.