Junfang Wu
Impact in
- Developmental Neuroscience top 0.5%
- Neurogenesis and neuroplasticity mechanisms
- Neurology top 0.5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Traumatic Brain Injury and Neurovascular Disturbances
Papers in
-
- Spinal Cord Injury Research 30
- Co-authors
- Alan I. Faden (41 shared papers)Bogdan A. Stoica (21 shared papers)Marta M. Lipinski (12 shared papers)David J. Loane (10 shared papers)Boris Sabirzhanov (14 shared papers)Yun Li (24 shared papers)Chinmoy Sarkar (6 shared papers)Rodney M. Ritzel (18 shared papers)
- Journals
- Brain Behavior and Immunity (8 papers)Journal of Neuroscience (8 papers)Journal of Neuroinflammation (5 papers)Cells (5 papers)Glia (4 papers)
- Partner nations
- United StatesChinaSweden
In The Last Decade
Junfang Wu
86 papers receiving 4.7k citations
Peers
Comparison fields: 5 of 126
- Developmental Neuroscience 570
- Neurology 994
- Pathology and Forensic Medicine 1.2k
- Cellular and Molecular Neuroscience 932
- Neurology 635
Countries citing papers authored by Junfang Wu
This map shows the geographic impact of Junfang Wu'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 Junfang Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junfang Wu more than expected).
Fields of papers citing papers by Junfang Wu
This network shows the impact of papers produced by Junfang Wu. 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 Junfang Wu. The network helps show where Junfang Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Junfang Wu, 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 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 239 | |
| 2 | 2015 | 226 | |
| 3 | 2014 | 206 | |
| 4 | 2015 | 190 | |
| 5 | 2015 | 186 | |
| 6 | 2020 | 150 | |
| 7 | 2013 | 142 | |
| 8 | 2014 | 136 | |
| 9 | 2018 | 127 | |
| 10 | 2013 | 117 | |
| 11 | 2006 | 112 | |
| 12 | 2007 | 109 | |
| 13 | 2016 | 107 | |
| 14 | 2019 | 105 | |
| 15 | 2014 | 93 | |
| 16 | 2007 | 91 | |
| 17 | 2021 | 89 | |
| 18 | 2023 | 89 | |
| 19 | 2022 | 88 | |
| 20 | 2017 | 85 |
About Junfang Wu
Junfang Wu is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Cellular and Molecular Neuroscience, Neurology and Developmental Neuroscience, having authored 88 papers that have together received 4.8k indexed citations. Recurring topics across this work include Spinal Cord Injury Research (30 papers), Neuroinflammation and Neurodegeneration Mechanisms (20 papers), Nerve injury and regeneration (14 papers), Neurogenesis and neuroplasticity mechanisms (13 papers), Traumatic Brain Injury and Neurovascular Disturbances (9 papers), Autophagy in Disease and Therapy (9 papers), Neuroscience and Neuropharmacology Research (7 papers) and Pain Mechanisms and Treatments (6 papers). The work is most often cited by research in Developmental Neuroscience (570 citations), Neurology (994 citations), Pathology and Forensic Medicine (1.2k citations), Cellular and Molecular Neuroscience (932 citations) and Neurology (635 citations). Junfang Wu has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Alan I. Faden, Bogdan A. Stoica, Marta M. Lipinski, David J. Loane, Boris Sabirzhanov, Yun Li, Chinmoy Sarkar, Rodney M. Ritzel, Junyun He and Zaorui Zhao. Their work appears in journals such as Brain Behavior and Immunity, Journal of Neuroscience, Journal of Neuroinflammation, Cells and Glia.
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.