Qingjun Tian
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
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- Neuroscience and Neuropharmacology Research
- Nerve injury and regeneration
- Neurotransmitter Receptor Influence on Behavior
Papers in
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- Neuroscience and Neuropharmacology Research 6
- Photoreceptor and optogenetics research 3
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- Memory and Neural Mechanisms 3
- Neural dynamics and brain function 2
- Autism Spectrum Disorder Research 1
- Co-authors
- Wei Lü (8 shared papers)Kunwei Wu (5 shared papers)Charlotte L. Barkan (1 shared paper)Jacqueline N. Crawley (1 shared paper)Francesco Papaleo (1 shared paper)Kathryn K. Chadman (1 shared paper)Jill L. Silverman (1 shared paper)Wenyan Han (4 shared papers)
- Journals
- Cell Reports (2 papers)Experimental Eye Research (1 paper)Journal of Biological Chemistry (1 paper)Learning & Memory (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Qingjun Tian
12 papers receiving 287 citations
Peers
Comparison fields: 5 of 61
- Developmental Neuroscience 32
- Cellular and Molecular Neuroscience 138
- Behavioral Neuroscience 21
- Biological Psychiatry 12
- Cognitive Neuroscience 67
Countries citing papers authored by Qingjun Tian
This map shows the geographic impact of Qingjun Tian'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 Qingjun Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingjun Tian more than expected).
Fields of papers citing papers by Qingjun Tian
This network shows the impact of papers produced by Qingjun Tian. 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 Qingjun Tian. The network helps show where Qingjun Tian may publish in the future.
Co-authors
The 25 scholars most cited alongside Qingjun Tian, 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 | 2011 | 98 | |
| 2 | 2011 | 58 | |
| 3 | 2021 | 25 | |
| 4 | 2021 | 24 | |
| 5 | 2021 | 20 | |
| 6 | 2022 | 15 | |
| 7 | 2024 | 13 | |
| 8 | 2021 | 12 | |
| 9 | 2019 | 10 | |
| 10 | 2024 | 7 | |
| 11 | 2025 | 6 | |
| 12 | 2018 | 1 | |
| 13 | 2025 | 0 |
About Qingjun Tian
Qingjun Tian is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Neurology and Immunology, having authored 13 papers that have together received 289 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Photoreceptor and optogenetics research (3 papers), Memory and Neural Mechanisms (3 papers), Neural dynamics and brain function (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Autism Spectrum Disorder Research (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper) and Ferroptosis and cancer prognosis (1 paper). The work is most often cited by research in Developmental Neuroscience (32 citations), Cellular and Molecular Neuroscience (138 citations), Behavioral Neuroscience (21 citations), Biological Psychiatry (12 citations) and Cognitive Neuroscience (67 citations). Qingjun Tian has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Wei Lü, Kunwei Wu, Charlotte L. Barkan, Jacqueline N. Crawley, Francesco Papaleo, Kathryn K. Chadman, Jill L. Silverman, Wenyan Han, Daniel R. Weinberger and Renee F. Ren‐Patterson. Their work appears in journals such as Cell Reports, Experimental Eye Research, Journal of Biological Chemistry, Learning & Memory and Journal of Neuroscience.
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.