Shujun Feng
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments 13
- Neuroinflammation and Neurodegeneration Mechanisms 7
- Neurological disorders and treatments 6
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments 13
- Neuroinflammation and Neurodegeneration Mechanisms 7
- Neurological disorders and treatments 6
- Cancer Research top 10%
- Cancer-related molecular mechanisms research 6
- MicroRNA in disease regulation 4
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- Nuclear Receptors and Signaling 5
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- Circular RNAs in diseases 5
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- Nanoplatforms for cancer theranostics 5
- Cited by
- NeurologyCancer Research
- Journals
- Angewandte Chemie International Edition (1 paper)Advanced Functional Materials (1 paper)Analytical Chemistry (1 paper)
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Shujun Feng
54 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 106
- Neurology 208
- Neurology 296
- Cancer Research 233
- Cellular and Molecular Neuroscience 144
- Molecular Biology 450
Countries citing papers authored by Shujun Feng
This map shows the geographic impact of Shujun Feng'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 Shujun Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shujun Feng more than expected).
Fields of papers citing papers by Shujun Feng
This network shows the impact of papers produced by Shujun Feng. 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 Shujun Feng. The network helps show where Shujun Feng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shujun Feng, 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 | 2025 | 0 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 5 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 41 | |
| 7 | 2021 | 14 | |
| 8 | 2020 | 24 | |
| 9 | 2020 | 33 | |
| 10 | 2020 | 9 | |
| 11 | 2019 | 18 | |
| 12 | 2018 | 7 | |
| 13 | 2018 | 115 | |
| 14 | 2017 | 6 | |
| 15 | 2017 | 19 | |
| 16 | 2016 | 10 | |
| 17 | 2015 | 23 | |
| 18 | 2014 | 157 | |
| 19 | 2014 | 58 | |
| 20 | 2014 | 9 |
About Shujun Feng
Shujun Feng is a scholar working on Neurology, Neurology and Immunology and Allergy, having authored 56 papers that have together received 1.2k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (13 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Cancer-related molecular mechanisms research (6 papers), Neurological disorders and treatments (6 papers), Nanoplatforms for cancer theranostics (5 papers), Nuclear Receptors and Signaling (5 papers), Circular RNAs in diseases (5 papers) and MicroRNA in disease regulation (4 papers). The work is most often cited by research in Neurology (208 citations), Neurology (296 citations) and Cancer Research (233 citations). Shujun Feng has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Yuhu Zhang, Kun Nie, Lijuan Wang, Rong Z. Gan, Limin Wang, Jiehao Zhao, Yuyuan Gao, Wenjing Pan, Ruiming Zhu and Hongmei Tang. Their work appears in journals such as Angewandte Chemie International Edition, Advanced Functional Materials and Analytical Chemistry.
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.