Deqiang Jing
- Cellular and Molecular Neuroscience top 0.5%
- Cognitive Neuroscience top 1%
- Developmental Neuroscience top 0.2%
- Behavioral Neuroscience top 0.5%
- Molecular Biology top 10%
- Co-authors
- Francis S. LeeKevin G. BathBarbara L. HempsteadZhe-Yu ChenChia-Jen SiaoB.J. CaseyDaniel G. HerreraMiklós Tóth
- Topics
- Nerve injury and regeneration (16 papers)Neurogenesis and neuroplasticity mechanisms (13 papers)Neuroscience and Neuropharmacology Research (10 papers)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Deqiang Jing
34 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Cellular and Molecular Neuroscience 2.4k
- Cognitive Neuroscience 1.3k
- Developmental Neuroscience 1.1k
- Behavioral Neuroscience 937
- Molecular Biology 845
Countries citing papers authored by Deqiang Jing
This map shows the geographic impact of Deqiang Jing'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 Deqiang Jing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deqiang Jing more than expected).
Fields of papers citing papers by Deqiang Jing
This network shows the impact of papers produced by Deqiang Jing. 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 Deqiang Jing. The network helps show where Deqiang Jing may publish in the future.
Co-authorship network of co-authors of Deqiang Jing
This figure shows the co-authorship network connecting the top 25 collaborators of Deqiang Jing. A scholar is included among the top collaborators of Deqiang Jing based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Deqiang Jing. Deqiang Jing is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 6 | |
| 5 | 19 | |
| 6 | 20 | |
| 7 | 17 | |
| 8 | 129 | |
| 9 | 23 | |
| 10 | 80 | |
| 11 | 242 | |
| 12 | 123 | |
| 13 | 463 | |
| 14 | 123 | |
| 15 | 117 | |
| 16 | 5 | |
| 17 | 132 | |
| 18 | Genetic Variant BDNF (Val66Met) Polymorphism Alters Anxiety-Related Behaviorbreakdown → | 1087 |
| 19 | 78 | |
| 20 | 176 |
About Deqiang Jing
Deqiang Jing is a scholar working on Developmental Neuroscience, Behavioral Neuroscience and Cellular and Molecular Neuroscience, having authored 35 papers that have together received 4.6k indexed citations. Recurring topics across this work include Nerve injury and regeneration (16 papers), Neurogenesis and neuroplasticity mechanisms (13 papers) and Neuroscience and Neuropharmacology Research (10 papers). The work is most often cited by research in Developmental Neuroscience (1.1k citations), Behavioral Neuroscience (937 citations) and Biological Psychiatry (378 citations). Deqiang Jing has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Francis S. Lee, Kevin G. Bath, Barbara L. Hempstead, Zhe-Yu Chen, Chia-Jen Siao, B.J. Casey, Daniel G. Herrera, Miklós Tóth, Alessandro Ieraci and Bruce S. McEwen. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Medicine.
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.