Jinxia Dai
Impact in
- Biological Psychiatry top 10%
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
Papers in
-
- Neuroscience and Neuropharmacology Research 6
- Virology 4
- Rabies epidemiology and control 4
- Co-authors
- Yu‐Qiang Ding (6 shared papers)Gang Cao (13 shared papers)Ming Jun Shi (2 shared papers)Chao Guo (2 shared papers)Da Lin (3 shared papers)Jianbo Xiu (2 shared papers)Lin Xu (2 shared papers)Weize Xu (8 shared papers)
- Journals
- Veterinary Microbiology (2 papers)Molecular and Cellular Neuroscience (2 papers)Development Growth & Differentiation (1 paper)Neuroscience Research (1 paper)Microbial Pathogenesis (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jinxia Dai
39 papers receiving 782 citations
Peers
Comparison fields: 5 of 108
- Biological Psychiatry 33
- Behavioral Neuroscience 44
- Cellular and Molecular Neuroscience 215
- Developmental Neuroscience 45
- Virology 31
Countries citing papers authored by Jinxia Dai
This map shows the geographic impact of Jinxia Dai'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 Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinxia Dai more than expected).
Fields of papers citing papers by Jinxia Dai
This network shows the impact of papers produced by Jinxia Dai. 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 Dai. The network helps show where Jinxia Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinxia Dai, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 120 | |
| 2 | 2019 | 61 | |
| 3 | 2019 | 59 | |
| 4 | 2008 | 58 | |
| 5 | 2022 | 43 | |
| 6 | 2023 | 41 | |
| 7 | 2024 | 38 | |
| 8 | 2023 | 37 | |
| 9 | 2021 | 35 | |
| 10 | 2016 | 35 | |
| 11 | 2009 | 34 | |
| 12 | 2021 | 23 | |
| 13 | 2008 | 21 | |
| 14 | 2013 | 16 | |
| 15 | 2020 | 14 | |
| 16 | 2022 | 14 | |
| 17 | 2017 | 14 | |
| 18 | 2021 | 14 | |
| 19 | 2023 | 13 | |
| 20 | 2019 | 12 |
About Jinxia Dai
Jinxia Dai is a scholar working on Cellular and Molecular Neuroscience, Virology, Infectious Diseases, Molecular Biology and Developmental Neuroscience, having authored 42 papers that have together received 792 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (6 papers), Neuroscience and Neuropharmacology Research (6 papers), Rabies epidemiology and control (4 papers), interferon and immune responses (4 papers), Viral Infections and Vectors (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Retinal Development and Disorders (3 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). The work is most often cited by research in Biological Psychiatry (33 citations), Behavioral Neuroscience (44 citations), Cellular and Molecular Neuroscience (215 citations), Developmental Neuroscience (45 citations) and Virology (31 citations). Jinxia Dai has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yu‐Qiang Ding, Gang Cao, Ming Jun Shi, Chao Guo, Da Lin, Jianbo Xiu, Lin Xu, Weize Xu, Jun Cao and Ying Huang. Their work appears in journals such as Veterinary Microbiology, Molecular and Cellular Neuroscience, Development Growth & Differentiation, Neuroscience Research and Microbial Pathogenesis.
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.