Saidan Ding
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Intracerebral and Subarachnoid Hemorrhage Research
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- Tryptophan and brain disorders
Papers in
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- Genomics, phytochemicals, and oxidative stress 2
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- Liver Disease and Transplantation 9
- Co-authors
- Jianjing Yang (14 shared papers)Qichuan Zhuge (13 shared papers)Leping Liu (13 shared papers)Jiangnan Hu (7 shared papers)Xuebao Wang (10 shared papers)Shengwei Huang (2 shared papers)Weilong Huang (3 shared papers)Yu Zhang (1 shared paper)
- Journals
- Neuroscience (2 papers)Molecular Neurobiology (2 papers)Journal of Cellular and Molecular Medicine (2 papers)Cell Biology and Toxicology (2 papers)Current Protein and Peptide Science (1 paper)
- Partner nations
- ChinaUnited StatesPoland
In The Last Decade
Saidan Ding
29 papers receiving 478 citations
Peers
Comparison fields: 5 of 84
- Neurology 86
- Biological Psychiatry 21
- Hepatology 55
- Developmental Neuroscience 18
- Cellular and Molecular Neuroscience 72
Countries citing papers authored by Saidan Ding
This map shows the geographic impact of Saidan 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 Saidan Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saidan Ding more than expected).
Fields of papers citing papers by Saidan Ding
This network shows the impact of papers produced by Saidan 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 Saidan Ding. The network helps show where Saidan Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Saidan 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 69 | |
| 2 | 2019 | 43 | |
| 3 | 2014 | 43 | |
| 4 | 2020 | 27 | |
| 5 | 2013 | 23 | |
| 6 | 2016 | 22 | |
| 7 | 2017 | 22 | |
| 8 | 2024 | 20 | |
| 9 | 2012 | 19 | |
| 10 | 2021 | 19 | |
| 11 | 2018 | 17 | |
| 12 | 2017 | 16 | |
| 13 | 2013 | 16 | |
| 14 | 2016 | 15 | |
| 15 | 2017 | 15 | |
| 16 | 2015 | 15 | |
| 17 | 2014 | 14 | |
| 18 | 2019 | 12 | |
| 19 | 2019 | 10 | |
| 20 | 2014 | 9 |
About Saidan Ding
Saidan Ding is a scholar working on Molecular Biology, Hepatology, Cellular and Molecular Neuroscience, Epidemiology and Psychiatry and Mental health, having authored 29 papers that have together received 480 indexed citations. Recurring topics across this work include Liver Disease and Transplantation (9 papers), Neuroscience and Neuropharmacology Research (4 papers), Neurological Complications and Syndromes (4 papers), Genetics and Neurodevelopmental Disorders (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Autophagy in Disease and Therapy (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). The work is most often cited by research in Neurology (86 citations), Biological Psychiatry (21 citations), Hepatology (55 citations), Developmental Neuroscience (18 citations) and Cellular and Molecular Neuroscience (72 citations). Saidan Ding has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Jianjing Yang, Qichuan Zhuge, Leping Liu, Jiangnan Hu, Xuebao Wang, Shengwei Huang, Weilong Huang, Yu Zhang, Yiru Ye and Weikan Wang. Their work appears in journals such as Neuroscience, Molecular Neurobiology, Journal of Cellular and Molecular Medicine, Cell Biology and Toxicology and Current Protein and Peptide 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.