Ningnannan Zhang
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms 4
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms 4
- Pathology and Forensic Medicine top 10%
- Multiple Sclerosis Research Studies 20
- Developmental Neuroscience top 10%
- Sensory Systems top 10%
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- Advanced Neuroimaging Techniques and Applications 10
- Radiomics and Machine Learning in Medical Imaging 4
- MRI in cancer diagnosis 3
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- Functional Brain Connectivity Studies 8
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- Dementia and Cognitive Impairment Research 5
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- Systemic Lupus Erythematosus Research 4
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Neurology (1 paper)Scientific Reports (2 papers)
- Partner nations
- ChinaNetherlandsCanada
In The Last Decade
Ningnannan Zhang
37 papers receiving 911 citations
Peers
Comparison fields: 5 of 86
- Neurology 316
- Neurology 266
- Pathology and Forensic Medicine 189
- Developmental Neuroscience 38
- Sensory Systems 35
Countries citing papers authored by Ningnannan Zhang
This map shows the geographic impact of Ningnannan Zhang'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 Ningnannan Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ningnannan Zhang more than expected).
Fields of papers citing papers by Ningnannan Zhang
This network shows the impact of papers produced by Ningnannan Zhang. 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 Ningnannan Zhang. The network helps show where Ningnannan Zhang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ningnannan Zhang, 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 | 2024 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 3 | |
| 9 | 2022 | 11 | |
| 10 | 2022 | 7 | |
| 11 | 2021 | 8 | |
| 12 | 2018 | 15 | |
| 13 | 2017 | 5 | |
| 14 | 2016 | 6 | |
| 15 | 2016 | 20 | |
| 16 | 2016 | 11 | |
| 17 | 2016 | 28 | |
| 18 | 2016 | 11 | |
| 19 | 2014 | 22 | |
| 20 | 2012 | 18 |
About Ningnannan Zhang
Ningnannan Zhang is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Sensory Systems, having authored 39 papers that have together received 919 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (20 papers), Advanced Neuroimaging Techniques and Applications (10 papers), Functional Brain Connectivity Studies (8 papers), Dementia and Cognitive Impairment Research (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Systemic Lupus Erythematosus Research (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and MRI in cancer diagnosis (3 papers). The work is most often cited by research in Neurology (316 citations), Neurology (266 citations) and Pathology and Forensic Medicine (189 citations). Ningnannan Zhang has collaborated with scholars based in China, Netherlands and Canada. Frequent co-authors include Chunshui Yu, Fu‐Dong Shi, Yaping Yan, Li Ren, Junwei Hao, Yujing Li, Na Sun, Ying Fu, DeRen Huang and Xiaowei Song. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neurology and Scientific Reports.
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.