Jinxia Wan
Impact in
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- Neuroscience and Neuropharmacology Research
- Neurotransmitter Receptor Influence on Behavior
- Photoreceptor and optogenetics research
- Neuroscience and Neural Engineering
Papers in
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- Photoreceptor and optogenetics research 7
- Neurotransmitter Receptor Influence on Behavior 5
- Neuroscience and Neuropharmacology Research 5
- Neuroscience and Neural Engineering 2
- Neurobiology and Insect Physiology Research 2
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- Memory and Neural Mechanisms 2
- Sleep and Wakefulness Research 2
- Co-authors
- Yulong Li (11 shared papers)Fei Deng (7 shared papers)Xuelin Li (3 shared papers)Jiesi Feng (4 shared papers)Miao Jing (3 shared papers)Jianzhi Zeng (3 shared papers)Kun Song (1 shared paper)Wanling Peng (1 shared paper)
- Journals
- Neuron (2 papers)Nature Methods (2 papers)Nature Neuroscience (2 papers)Scientific Reports (1 paper)Nano Letters (1 paper)
- Partner nations
- ChinaUnited StatesAustria
In The Last Decade
Jinxia Wan
15 papers receiving 702 citations
Peers
Comparison fields: 5 of 90
- Cellular and Molecular Neuroscience 399
- Biological Psychiatry 30
- Biophysics 57
- Cognitive Neuroscience 152
- Endocrine and Autonomic Systems 41
Countries citing papers authored by Jinxia Wan
This map shows the geographic impact of Jinxia Wan'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 Jinxia Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinxia Wan more than expected).
Fields of papers citing papers by Jinxia Wan
This network shows the impact of papers produced by Jinxia Wan. 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 Jinxia Wan. The network helps show where Jinxia Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinxia Wan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 212 | |
| 2 | 2022 | 108 | |
| 3 | 2023 | 77 | |
| 4 | 2021 | 63 | |
| 5 | 2024 | 58 | |
| 6 | 2022 | 55 | |
| 7 | 2023 | 38 | |
| 8 | 2022 | 30 | |
| 9 | 2020 | 26 | |
| 10 | 2020 | 23 | |
| 11 | 2022 | 17 | |
| 12 | 2023 | 9 | |
| 13 | 2024 | 2 | |
| 14 | 2019 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2026 | 0 |
About Jinxia Wan
Jinxia Wan is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Toxicology and Sensory Systems, having authored 17 papers that have together received 721 indexed citations. Recurring topics across this work include Photoreceptor and optogenetics research (7 papers), Neurotransmitter Receptor Influence on Behavior (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Receptor Mechanisms and Signaling (4 papers), Neuroscience and Neural Engineering (2 papers), Memory and Neural Mechanisms (2 papers), Neurobiology and Insect Physiology Research (2 papers) and Sleep and Wakefulness Research (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (399 citations), Biological Psychiatry (30 citations), Biophysics (57 citations), Cognitive Neuroscience (152 citations) and Endocrine and Autonomic Systems (41 citations). Jinxia Wan has collaborated with scholars based in China, United States and Austria. Frequent co-authors include Yulong Li, Fei Deng, Xuelin Li, Jiesi Feng, Miao Jing, Jianzhi Zeng, Kun Song, Wanling Peng, Tongrui Qian and Sunlei Pan. Their work appears in journals such as Neuron, Nature Methods, Nature Neuroscience, Scientific Reports and Nano Letters.
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.