Jun‐Qiang Si
Impact in
- Developmental Neuroscience top 10%
- Anesthesia and Neurotoxicity Research
- Sensory Systems top 10%
- Ion Channels and Receptors
Papers in
- Physiology 28
- Pain Mechanisms and Treatments 16
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- Neuroscience and Neuropharmacology Research 9
- Neuropeptides and Animal Physiology 8
- Co-authors
- Ketao Ma (63 shared papers)Xinzhi Li (18 shared papers)Li Li (15 shared papers)Jiangwen Yin (10 shared papers)Hongzhen Hu (1 shared paper)Zhigang Dai (7 shared papers)Lei Zhao (14 shared papers)Sheng Wang (3 shared papers)
- Journals
- Biomedicine & Pharmacotherapy (6 papers)International Journal of Molecular Medicine (5 papers)Frontiers in Neuroscience (4 papers)Frontiers in Pharmacology (3 papers)Acta Biochimica et Biophysica Sinica (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Jun‐Qiang Si
74 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 91
- Developmental Neuroscience 59
- Sensory Systems 56
- Physiology 253
- Cellular and Molecular Neuroscience 183
- Neurology 70
Countries citing papers authored by Jun‐Qiang Si
This map shows the geographic impact of Jun‐Qiang Si'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 Jun‐Qiang Si with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun‐Qiang Si more than expected).
Fields of papers citing papers by Jun‐Qiang Si
This network shows the impact of papers produced by Jun‐Qiang Si. 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 Jun‐Qiang Si. The network helps show where Jun‐Qiang Si may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun‐Qiang Si, 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 57 | |
| 2 | 1997 | 57 | |
| 3 | 2019 | 47 | |
| 4 | 2016 | 46 | |
| 5 | 2019 | 33 | |
| 6 | 2019 | 33 | |
| 7 | 2018 | 31 | |
| 8 | 2017 | 30 | |
| 9 | 2018 | 27 | |
| 10 | 2020 | 27 | |
| 11 | 2021 | 25 | |
| 12 | 2006 | 25 | |
| 13 | 2018 | 24 | |
| 14 | 2024 | 24 | |
| 15 | 2017 | 23 | |
| 16 | 2017 | 22 | |
| 17 | 2020 | 22 | |
| 18 | 2019 | 22 | |
| 19 | 2023 | 22 | |
| 20 | 2017 | 20 |
About Jun‐Qiang Si
Jun‐Qiang Si is a scholar working on Physiology, Cellular and Molecular Neuroscience, Molecular Biology, Sensory Systems and Developmental Neuroscience, having authored 75 papers that have together received 1.0k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (16 papers), Ion channel regulation and function (13 papers), Connexins and lens biology (12 papers), Neuroscience and Neuropharmacology Research (9 papers), Neuropeptides and Animal Physiology (8 papers), Hearing, Cochlea, Tinnitus, Genetics (6 papers), Receptor Mechanisms and Signaling (6 papers) and Anesthesia and Neurotoxicity Research (5 papers). The work is most often cited by research in Developmental Neuroscience (59 citations), Sensory Systems (56 citations), Physiology (253 citations), Cellular and Molecular Neuroscience (183 citations) and Neurology (70 citations). Jun‐Qiang Si has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Ketao Ma, Xinzhi Li, Li Li, Jiangwen Yin, Hongzhen Hu, Zhigang Dai, Lei Zhao, Sheng Wang, Li Li and Liping Xie. Their work appears in journals such as Biomedicine & Pharmacotherapy, International Journal of Molecular Medicine, Frontiers in Neuroscience, Frontiers in Pharmacology and Acta Biochimica et Biophysica Sinica.
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.