Jun-Ling Xing
Impact in
-
- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
- Physiology top 5%
- Pain Mechanisms and Treatments
Papers in
-
- Neuroscience and Neuropharmacology Research 9
- Neuroscience and Neural Engineering 7
-
- Ion channel regulation and function 13
- Co-authors
- San-Jue Hu (20 shared papers)Jian-Hong Duan (7 shared papers)Rou‐Gang Xie (4 shared papers)Huiming Li (5 shared papers)Wenting Wang (8 shared papers)Hui Xu (3 shared papers)Fang Kuang (3 shared papers)Xue‐Jun Song (2 shared papers)
- Journals
- Pain (5 papers)Neuroscience (4 papers)Brain Research (4 papers)Neurosignals (4 papers)Neuroscience Bulletin (3 papers)
- Partner nations
- ChinaUnited StatesMontenegro
In The Last Decade
Jun-Ling Xing
42 papers receiving 901 citations
Peers
Comparison fields: 5 of 80
- Cellular and Molecular Neuroscience 363
- Physiology 454
- Sensory Systems 83
- Neurology 123
- Statistical and Nonlinear Physics 95
Countries citing papers authored by Jun-Ling Xing
This map shows the geographic impact of Jun-Ling Xing'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-Ling Xing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun-Ling Xing more than expected).
Fields of papers citing papers by Jun-Ling Xing
This network shows the impact of papers produced by Jun-Ling Xing. 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-Ling Xing. The network helps show where Jun-Ling Xing may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun-Ling Xing, 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 | 1998 | 174 | |
| 2 | 2012 | 72 | |
| 3 | 2009 | 61 | |
| 4 | 2011 | 57 | |
| 5 | 2001 | 42 | |
| 6 | 2021 | 39 | |
| 7 | 2012 | 38 | |
| 8 | 2012 | 36 | |
| 9 | 2003 | 29 | |
| 10 | 2005 | 27 | |
| 11 | 2020 | 27 | |
| 12 | 2012 | 24 | |
| 13 | 2000 | 23 | |
| 14 | 2020 | 22 | |
| 15 | 2009 | 21 | |
| 16 | 2016 | 19 | |
| 17 | 2009 | 18 | |
| 18 | 2001 | 17 | |
| 19 | 1999 | 15 | |
| 20 | 2013 | 15 |
About Jun-Ling Xing
Jun-Ling Xing is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience, Physiology and Statistical and Nonlinear Physics, having authored 43 papers that have together received 918 indexed citations. Recurring topics across this work include Ion channel regulation and function (13 papers), Pain Mechanisms and Treatments (12 papers), Neural dynamics and brain function (10 papers), Neuroscience and Neuropharmacology Research (9 papers), Neuroscience and Neural Engineering (7 papers), stochastic dynamics and bifurcation (5 papers), Botulinum Toxin and Related Neurological Disorders (4 papers) and Electromagnetic Fields and Biological Effects (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (363 citations), Physiology (454 citations), Sensory Systems (83 citations), Neurology (123 citations) and Statistical and Nonlinear Physics (95 citations). Jun-Ling Xing has collaborated with scholars based in China, United States and Montenegro. Frequent co-authors include San-Jue Hu, Jian-Hong Duan, Rou‐Gang Xie, Huiming Li, Wenting Wang, Hui Xu, Fang Kuang, Xue‐Jun Song, Ceng Luo and Wei Xie. Their work appears in journals such as Pain, Neuroscience, Brain Research, Neurosignals and Neuroscience Bulletin.
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.