Ying Pan
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Biological Psychiatry top 5%
Papers in
- Aging 2
- Genetics, Aging, and Longevity in Model Organisms 2
-
- Alzheimer's disease research and treatments 3
- Co-authors
- Bruce A. Yankner (5 shared papers)Tao Lü (4 shared papers)Jennifer Ai-wen Chan (1 shared paper)Shyan‐Yuan Kao (1 shared paper)Li Cheng (1 shared paper)Isaac S. Kohane (1 shared paper)Derek Drake (3 shared papers)Liviu Aron (2 shared papers)
- Journals
- Nature (3 papers)PLoS ONE (1 paper)Cell Reports (1 paper)PeerJ (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- ChinaUnited StatesMalaysia
In The Last Decade
Ying Pan
14 papers receiving 2.6k citations
Ying Pan's Hit Papers
Peers
Comparison fields: 5 of 121
- Aging 278
- Biological Psychiatry 124
- Neurology 325
- Developmental Neuroscience 147
- Physiology 733
Countries citing papers authored by Ying Pan
This map shows the geographic impact of Ying Pan'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 Ying Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Pan more than expected).
Fields of papers citing papers by Ying Pan
This network shows the impact of papers produced by Ying Pan. 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 Ying Pan. The network helps show where Ying Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying Pan, 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 | Gene regulation and DNA damage in the ageing human brain Hit paper breakdown → | 2004 | 1553 |
| 2 | REST and stress resistance in ageing and Alzheimer’s disease Hit paper breakdown → | 2014 | 627 |
| 3 | 2008 | 260 | |
| 4 | 2019 | 172 | |
| 5 | 2023 | 14 | |
| 6 | 2016 | 11 | |
| 7 | 2022 | 8 | |
| 8 | 2014 | 6 | |
| 9 | 2022 | 4 | |
| 10 | 2013 | 4 | |
| 11 | 2024 | 4 | |
| 12 | 2021 | 2 | |
| 13 | 2019 | 1 | |
| 14 | 2023 | 1 | |
| 15 | 2026 | 0 | |
| 16 | 2026 | 0 |
About Ying Pan
Ying Pan is a scholar working on Aging, Physiology, Molecular Biology, Obstetrics and Gynecology and Genetics, having authored 16 papers that have together received 2.7k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (3 papers), RNA Research and Splicing (3 papers), Bioinformatics and Genomic Networks (2 papers), Mitochondrial Function and Pathology (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Ubiquitin and proteasome pathways (2 papers), Genetics and Neurodevelopmental Disorders (2 papers) and Multiple Myeloma Research and Treatments (1 paper). The work is most often cited by research in Aging (278 citations), Biological Psychiatry (124 citations), Neurology (325 citations), Developmental Neuroscience (147 citations) and Physiology (733 citations). Ying Pan has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include Bruce A. Yankner, Tao Lü, Jennifer Ai-wen Chan, Shyan‐Yuan Kao, Li Cheng, Isaac S. Kohane, Derek Drake, Liviu Aron, David Alan Bennett and Mónica P. Colaiácovo. Their work appears in journals such as Nature, PLoS ONE, Cell Reports, PeerJ and Frontiers in Immunology.
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.