Junxia Yang
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol
Papers in
- Physiology 16
- Pain Mechanisms and Treatments 16
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- Neurotransmitter Receptor Influence on Behavior 5
- Neuroscience and Neuropharmacology Research 4
- Co-authors
- Jun‐Li Cao (23 shared papers)Hongxing Zhang (15 shared papers)Hai‐Lei Ding (15 shared papers)He Liu (9 shared papers)Yin Cui (3 shared papers)Wei Deng (9 shared papers)Yanqiang Li (3 shared papers)Ming‐Hu Han (5 shared papers)
- Journals
- Journal of Neuroscience (6 papers)Neuroreport (4 papers)eLife (2 papers)Applied Catalysis B: Environmental (2 papers)Journal of Molecular Modeling (2 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Junxia Yang
58 papers receiving 973 citations
Peers
Comparison fields: 5 of 112
- Biological Psychiatry 51
- Behavioral Neuroscience 72
- Process Chemistry and Technology 46
- Developmental Neuroscience 50
- Cellular and Molecular Neuroscience 209
Countries citing papers authored by Junxia Yang
This map shows the geographic impact of Junxia Yang'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 Junxia Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junxia Yang more than expected).
Fields of papers citing papers by Junxia Yang
This network shows the impact of papers produced by Junxia Yang. 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 Junxia Yang. The network helps show where Junxia Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Junxia Yang, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 93 | |
| 2 | 2017 | 82 | |
| 3 | 2015 | 67 | |
| 4 | 2010 | 61 | |
| 5 | 2017 | 58 | |
| 6 | 2021 | 53 | |
| 7 | 2020 | 50 | |
| 8 | 2023 | 40 | |
| 9 | 2021 | 34 | |
| 10 | 2010 | 27 | |
| 11 | 2021 | 27 | |
| 12 | 2011 | 25 | |
| 13 | 2023 | 22 | |
| 14 | 2020 | 21 | |
| 15 | 2024 | 20 | |
| 16 | 2015 | 20 | |
| 17 | 2022 | 16 | |
| 18 | 2023 | 16 | |
| 19 | 2013 | 16 | |
| 20 | 2023 | 15 |
About Junxia Yang
Junxia Yang is a scholar working on Physiology, Cellular and Molecular Neuroscience, Molecular Biology, Materials Chemistry and Organic Chemistry, having authored 60 papers that have together received 981 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (16 papers), Stress Responses and Cortisol (8 papers), Covalent Organic Framework Applications (6 papers), Neurotransmitter Receptor Influence on Behavior (5 papers), Advanced Photocatalysis Techniques (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Carbon dioxide utilization in catalysis (4 papers) and Tryptophan and brain disorders (4 papers). The work is most often cited by research in Biological Psychiatry (51 citations), Behavioral Neuroscience (72 citations), Process Chemistry and Technology (46 citations), Developmental Neuroscience (50 citations) and Cellular and Molecular Neuroscience (209 citations). Junxia Yang has collaborated with scholars based in China, United States and France. Frequent co-authors include Jun‐Li Cao, Hongxing Zhang, Hai‐Lei Ding, He Liu, Yin Cui, Wei Deng, Yanqiang Li, Ming‐Hu Han, Ling-Yun Hao and Hongmei Qiu. Their work appears in journals such as Journal of Neuroscience, Neuroreport, eLife, Applied Catalysis B: Environmental and Journal of Molecular Modeling.
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.