Qianfa Long
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Rehabilitation top 2%
- Wound Healing and Treatments
Papers in
-
- Extracellular vesicles in disease 13
- Pluripotent Stem Cells Research 4
- Neurology 11
- Neuroinflammation and Neurodegeneration Mechanisms 11
- Neurological Disease Mechanisms and Treatments 5
- Co-authors
- Yue Hei (11 shared papers)Panpan Xian (5 shared papers)Ashok K. Shetty (3 shared papers)Junle Yang (4 shared papers)Dong Ki Kim (1 shared paper)Darwin J. Prockop (1 shared paper)Tian Wang (4 shared papers)Su Yeon An (1 shared paper)
- Journals
- Brain Research (4 papers)Neuroscience (3 papers)Theranostics (3 papers)Ageing Research Reviews (2 papers)World Journal of Stem Cells (2 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Qianfa Long
42 papers receiving 1.9k citations
Qianfa Long's Hit Papers
Peers
Comparison fields: 5 of 99
- Cancer Research 464
- Rehabilitation 197
- Neurology 246
- Developmental Neuroscience 103
- Genetics 217
Countries citing papers authored by Qianfa Long
This map shows the geographic impact of Qianfa Long'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 Qianfa Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qianfa Long more than expected).
Fields of papers citing papers by Qianfa Long
This network shows the impact of papers produced by Qianfa Long. 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 Qianfa Long. The network helps show where Qianfa Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Qianfa Long, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 356 | |
| 2 | 2019 | 289 | |
| 3 | 2020 | 203 | |
| 4 | 2020 | 199 | |
| 5 | 2022 | 88 | |
| 6 | 2023 | 85 | |
| 7 | 2021 | 72 | |
| 8 | 2009 | 70 | |
| 9 | 2018 | 49 | |
| 10 | 2021 | 40 | |
| 11 | 2022 | 40 | |
| 12 | 2018 | 39 | |
| 13 | Quercetin-functionalized nanomaterials: Innovative therapeutic avenues for Alzheimer's disease management Hit paper breakdown → | 2025 | 34 |
| 14 | 2013 | 29 | |
| 15 | 2016 | 27 | |
| 16 | 2019 | 26 | |
| 17 | 2014 | 24 | |
| 18 | 2019 | 23 | |
| 19 | 2015 | 22 | |
| 20 | 2015 | 21 |
About Qianfa Long
Qianfa Long is a scholar working on Molecular Biology, Neurology, Cancer Research, Genetics and Epidemiology, having authored 44 papers that have together received 1.9k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (13 papers), Neuroinflammation and Neurodegeneration Mechanisms (11 papers), MicroRNA in disease regulation (9 papers), Mesenchymal stem cell research (7 papers), Neurological Disease Mechanisms and Treatments (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Pluripotent Stem Cells Research (4 papers) and Wound Healing and Treatments (3 papers). The work is most often cited by research in Cancer Research (464 citations), Rehabilitation (197 citations), Neurology (246 citations), Developmental Neuroscience (103 citations) and Genetics (217 citations). Qianfa Long has collaborated with scholars based in China, United States and India. Frequent co-authors include Yue Hei, Panpan Xian, Ashok K. Shetty, Junle Yang, Dong Ki Kim, Darwin J. Prockop, Tian Wang, Su Yeon An, Bharathi Hattiangady and Bing Shuai. Their work appears in journals such as Brain Research, Neuroscience, Theranostics, Ageing Research Reviews and World Journal of Stem Cells.
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.