Dandan Shang
Impact in
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- Axon Guidance and Neuronal Signaling
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- Hippo pathway signaling and YAP/TAZ
- Cellular transport and secretion
Papers in
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- Mitochondrial Function and Pathology 2
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- Adipose Tissue and Metabolism 3
- Alzheimer's disease research and treatments 1
- Co-authors
- Shomi S. Bhattacharya (1 shared paper)Wei Xiao (1 shared paper)Tianxiao Zhang (1 shared paper)Jinsong Zhang (1 shared paper)Xue Zhang (1 shared paper)David A. Mackey (1 shared paper)Anthony T. Moore (1 shared paper)Jamie E. Craig (1 shared paper)
- Journals
- Organic Letters (2 papers)Gene (1 paper)Hepatology (1 paper)Organic Chemistry Frontiers (1 paper)Aging and Disease (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Dandan Shang
22 papers receiving 325 citations
Peers
Comparison fields: 5 of 72
- Cellular and Molecular Neuroscience 52
- Cell Biology 45
- Urology 14
- Molecular Biology 141
- Hepatology 14
Countries citing papers authored by Dandan Shang
This map shows the geographic impact of Dandan Shang'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 Dandan Shang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dandan Shang more than expected).
Fields of papers citing papers by Dandan Shang
This network shows the impact of papers produced by Dandan Shang. 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 Dandan Shang. The network helps show where Dandan Shang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dandan Shang, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 87 | |
| 2 | 2011 | 51 | |
| 3 | 2016 | 37 | |
| 4 | 2024 | 36 | |
| 5 | 2024 | 27 | |
| 6 | 2023 | 17 | |
| 7 | 2022 | 14 | |
| 8 | 2018 | 11 | |
| 9 | 2024 | 10 | |
| 10 | 2024 | 6 | |
| 11 | 2023 | 5 | |
| 12 | 2024 | 5 | |
| 13 | 2012 | 5 | |
| 14 | 2023 | 5 | |
| 15 | 2013 | 3 | |
| 16 | 2015 | 3 | |
| 17 | 2015 | 3 | |
| 18 | 2025 | 2 | |
| 19 | 2025 | 2 | |
| 20 | 2022 | 1 |
About Dandan Shang
Dandan Shang is a scholar working on Molecular Biology, Physiology, Organic Chemistry, Surgery and Epidemiology, having authored 24 papers that have together received 332 indexed citations. Recurring topics across this work include Catalytic C–H Functionalization Methods (3 papers), Adipose Tissue and Metabolism (3 papers), Cyclopropane Reaction Mechanisms (2 papers), Coronary Interventions and Diagnostics (2 papers), Neurological diseases and metabolism (2 papers), Mitochondrial Function and Pathology (2 papers), Catalytic Alkyne Reactions (2 papers) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (52 citations), Cell Biology (45 citations), Urology (14 citations), Molecular Biology (141 citations) and Hepatology (14 citations). Dandan Shang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Shomi S. Bhattacharya, Wei Xiao, Tianxiao Zhang, Jinsong Zhang, Xue Zhang, David A. Mackey, Anthony T. Moore, Jamie E. Craig, Yang Luo and Rui Hua. Their work appears in journals such as Organic Letters, Gene, Hepatology, Organic Chemistry Frontiers and Aging and Disease.
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.