Ding Ding
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Neurology top 10%
- Neurological Disease Mechanisms and Treatments
Papers in
- Physiology 11
- Alzheimer's disease research and treatments 5
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- Dementia and Cognitive Impairment Research 10
- Co-authors
- Qianhua Zhao (41 shared papers)Zhenxu Xiao (32 shared papers)Wanqing Wu (28 shared papers)Xiaoniu Liang (30 shared papers)Jianfeng Luo (15 shared papers)Saineng Ding (7 shared papers)Li Zheng (7 shared papers)Zhen Hong (11 shared papers)
- Journals
- Alzheimer s & Dementia (6 papers)Frontiers in Aging Neuroscience (4 papers)Neuroepidemiology (3 papers)Alzheimer s Research & Therapy (2 papers)Perspectives on Psychological Science (1 paper)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Ding Ding
50 papers receiving 758 citations
Peers
Comparison fields: 5 of 107
- Biological Psychiatry 70
- Neurology 89
- Sensory Systems 42
- Ophthalmology 70
- Psychiatry and Mental health 115
Countries citing papers authored by Ding Ding
This map shows the geographic impact of Ding Ding'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 Ding Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ding Ding more than expected).
Fields of papers citing papers by Ding Ding
This network shows the impact of papers produced by Ding Ding. 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 Ding Ding. The network helps show where Ding Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Ding Ding, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 66 | |
| 2 | 2021 | 65 | |
| 3 | 2022 | 51 | |
| 4 | 2023 | 49 | |
| 5 | 2020 | 45 | |
| 6 | 2020 | 38 | |
| 7 | 2020 | 34 | |
| 8 | 2021 | 31 | |
| 9 | 2021 | 30 | |
| 10 | 2022 | 26 | |
| 11 | 2016 | 26 | |
| 12 | 2017 | 23 | |
| 13 | 2020 | 22 | |
| 14 | 2019 | 18 | |
| 15 | 2020 | 18 | |
| 16 | 2024 | 16 | |
| 17 | 2021 | 16 | |
| 18 | 2022 | 15 | |
| 19 | 2023 | 13 | |
| 20 | 2020 | 11 |
About Ding Ding
Ding Ding is a scholar working on Physiology, Psychiatry and Mental health, Neurology, Molecular Biology and Sensory Systems, having authored 55 papers that have together received 763 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (10 papers), Neurological Disease Mechanisms and Treatments (8 papers), Olfactory and Sensory Function Studies (7 papers), Advanced Chemical Sensor Technologies (6 papers), Alzheimer's disease research and treatments (5 papers), Biochemical Analysis and Sensing Techniques (5 papers), Cerebrovascular and Carotid Artery Diseases (4 papers) and Gut microbiota and health (4 papers). The work is most often cited by research in Biological Psychiatry (70 citations), Neurology (89 citations), Sensory Systems (42 citations), Ophthalmology (70 citations) and Psychiatry and Mental health (115 citations). Ding Ding has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Qianhua Zhao, Zhenxu Xiao, Wanqing Wu, Xiaoniu Liang, Jianfeng Luo, Saineng Ding, Li Zheng, Zhen Hong, Xianhui Wang and Li Hou. Their work appears in journals such as Alzheimer s & Dementia, Frontiers in Aging Neuroscience, Neuroepidemiology, Alzheimer s Research & Therapy and Perspectives on Psychological Science.
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.