Ning Su
Impact in
- Developmental Neuroscience top 10%
- Anesthesia and Neurotoxicity Research
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
Papers in
-
- Dementia and Cognitive Impairment Research 8
- Cerebral Palsy and Movement Disorders 3
-
- Amyotrophic Lateral Sclerosis Research 3
- Intracerebral and Subarachnoid Hemorrhage Research 2
- Co-authors
- Shifu Xiao (13 shared papers)Qing Yang (2 shared papers)Han Chen (4 shared papers)Tao Wang (1 shared paper)Xia Li (3 shared papers)Yi‐Cheng Zhu (9 shared papers)Tao Wang (3 shared papers)Ming Yao (9 shared papers)
- Journals
- Journal of Alzheimer s Disease (3 papers)Frontiers in Neurology (3 papers)Brain Research (2 papers)Frontiers in Aging Neuroscience (2 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Ning Su
55 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 106
- Developmental Neuroscience 70
- Cancer Research 238
- Biological Psychiatry 34
- Psychiatry and Mental health 171
- Neurology 79
Countries citing papers authored by Ning Su
This map shows the geographic impact of Ning Su'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 Ning Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Su more than expected).
Fields of papers citing papers by Ning Su
This network shows the impact of papers produced by Ning Su. 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 Ning Su. The network helps show where Ning Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Ning Su, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 146 | |
| 2 | 2010 | 113 | |
| 3 | 2012 | 87 | |
| 4 | 2009 | 66 | |
| 5 | 2014 | 64 | |
| 6 | 2013 | 60 | |
| 7 | 2011 | 58 | |
| 8 | 2013 | 54 | |
| 9 | 2011 | 47 | |
| 10 | 2020 | 40 | |
| 11 | 2017 | 40 | |
| 12 | 2015 | 40 | |
| 13 | 2011 | 40 | |
| 14 | 2017 | 38 | |
| 15 | 2011 | 37 | |
| 16 | 2018 | 32 | |
| 17 | 2017 | 32 | |
| 18 | 2015 | 31 | |
| 19 | 2018 | 29 | |
| 20 | 2016 | 29 |
About Ning Su
Ning Su is a scholar working on Psychiatry and Mental health, Neurology, Cancer Research, Molecular Biology and Behavioral Neuroscience, having authored 58 papers that have together received 1.4k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (8 papers), Amyotrophic Lateral Sclerosis Research (3 papers), RNA Research and Splicing (3 papers), S100 Proteins and Annexins (3 papers), Cerebral Palsy and Movement Disorders (3 papers), Acupuncture Treatment Research Studies (2 papers), Intracerebral and Subarachnoid Hemorrhage Research (2 papers) and Inflammatory mediators and NSAID effects (2 papers). The work is most often cited by research in Developmental Neuroscience (70 citations), Cancer Research (238 citations), Biological Psychiatry (34 citations), Psychiatry and Mental health (171 citations) and Neurology (79 citations). Ning Su has collaborated with scholars based in China, United States and France. Frequent co-authors include Shifu Xiao, Qing Yang, Han Chen, Tao Wang, Xia Li, Yi‐Cheng Zhu, Tao Wang, Ming Yao, Jun Ni and Qiang Wang. Their work appears in journals such as Journal of Alzheimer s Disease, Frontiers in Neurology, Brain Research, Frontiers in Aging Neuroscience 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.