Fafa Tian
Impact in
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- Intracerebral and Subarachnoid Hemorrhage Research
- Peripheral Neuropathies and Disorders
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- Neuroscience and Neuropharmacology Research
Papers in
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- Acute Ischemic Stroke Management 4
- Fungal Infections and Studies 2
- Co-authors
- Jian‐Chuan Xia (1 shared paper)Qi Niu (1 shared paper)Yunhai Liu (1 shared paper)Qidong Yang (1 shared paper)Chen Zhang (4 shared papers)Yanhong Zhou (1 shared paper)Le Zhang (1 shared paper)Hongwei Xu (1 shared paper)
- Journals
- Frontiers in Neurology (2 papers)BMC Infectious Diseases (2 papers)Cellular and Molecular Immunology (1 paper)Brain Research (1 paper)BMC Neurology (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Fafa Tian
27 papers receiving 326 citations
Peers
Comparison fields: 5 of 62
- Neurology 90
- Cellular and Molecular Neuroscience 81
- Developmental Neuroscience 17
- Neurology 31
- Epidemiology 84
Countries citing papers authored by Fafa Tian
This map shows the geographic impact of Fafa 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 Fafa Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fafa Tian more than expected).
Fields of papers citing papers by Fafa Tian
This network shows the impact of papers produced by Fafa 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 Fafa Tian. The network helps show where Fafa Tian may publish in the future.
Co-authors
The 25 scholars most cited alongside Fafa 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
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 90 | |
| 2 | Potential roles of Cdk5/p35 and tau protein in hippocampal mossy fiber sprouting in the PTZ kindling model. | 2010 | 28 |
| 3 | 2011 | 24 | |
| 4 | 2022 | 23 | |
| 5 | 2013 | 20 | |
| 6 | 2020 | 16 | |
| 7 | Mossy fiber sprouting, hippocampal damage and spontaneous recurrent seizures in pentylenetetrazole kindling rat model. | 2009 | 16 |
| 8 | 2012 | 15 | |
| 9 | 2007 | 11 | |
| 10 | 2012 | 11 | |
| 11 | 2011 | 10 | |
| 12 | 2020 | 10 | |
| 13 | 2013 | 10 | |
| 14 | 2020 | 9 | |
| 15 | 2019 | 7 | |
| 16 | 2021 | 6 | |
| 17 | 2022 | 6 | |
| 18 | 2019 | 6 | |
| 19 | 2022 | 3 | |
| 20 | 2023 | 2 |
About Fafa Tian
Fafa Tian is a scholar working on Epidemiology, Molecular Biology, Cell Biology, Immunology and Neurology, having authored 27 papers that have together received 332 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (4 papers), Microtubule and mitosis dynamics (4 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Fungal Infections and Studies (2 papers), Immune Cell Function and Interaction (2 papers) and Hippo pathway signaling and YAP/TAZ (2 papers). The work is most often cited by research in Neurology (90 citations), Cellular and Molecular Neuroscience (81 citations), Developmental Neuroscience (17 citations), Neurology (31 citations) and Epidemiology (84 citations). Fafa Tian has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jian‐Chuan Xia, Qi Niu, Yunhai Liu, Qidong Yang, Chen Zhang, Yanhong Zhou, Le Zhang, Hongwei Xu, Yuzhong Wang and Huan Yang. Their work appears in journals such as Frontiers in Neurology, BMC Infectious Diseases, Cellular and Molecular Immunology, Brain Research and BMC Neurology.
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.