Si Wang
Impact in
- Aging top 0.05%
- Genetics, Aging, and Longevity in Model Organisms
- Geriatrics and Gerontology top 1%
- Sirtuins and Resveratrol in Medicine
Papers in
- Aging 31
- Genetics, Aging, and Longevity in Model Organisms 31
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- Single-cell and spatial transcriptomics 18
- Pluripotent Stem Cells Research 10
- Genomics and Chromatin Dynamics 7
- Co-authors
- Jing Tao Qu (76 shared papers)Guang‐Hui Liu (75 shared papers)Weiqi Zhang (72 shared papers)Moshi Song (30 shared papers)Juan Carlos Izpisúa Belmonte (37 shared papers)Zunpeng Liu (27 shared papers)Shuai Ma (30 shared papers)Piu Chan (15 shared papers)
- Journals
- Protein & Cell (40 papers)Nucleic Acids Research (11 papers)Nature Aging (8 papers)Cell (7 papers)Cell stem cell (6 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Si Wang
175 papers receiving 8.9k citations
Si Wang's Hit Papers
Peers
Comparison fields: 5 of 152
- Aging 1.4k
- Geriatrics and Gerontology 287
- Physiology 1.6k
- Molecular Biology 3.3k
- Reproductive Medicine 399
Countries citing papers authored by Si Wang
This map shows the geographic impact of Si Wang'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 Si Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Si Wang more than expected).
Fields of papers citing papers by Si Wang
This network shows the impact of papers produced by Si Wang. 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 Si Wang. The network helps show where Si Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Si Wang, 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 177 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Single-Cell Transcriptomic Atlas of Primate Ovarian Aging Hit paper breakdown → | 2020 | 454 |
| 2 | 2013 | 342 | |
| 3 | The landscape of aging Hit paper breakdown → | 2022 | 310 |
| 4 | Biomarkers of aging Hit paper breakdown → | 2023 | 300 |
| 5 | 2020 | 285 | |
| 6 | Resurrection of endogenous retroviruses during aging reinforces senescence Hit paper breakdown → | 2023 | 282 |
| 7 | A Single-Cell Transcriptomic Atlas of Human Skin Aging Hit paper breakdown → | 2020 | 281 |
| 8 | 2020 | 238 | |
| 9 | 2020 | 219 | |
| 10 | 2022 | 174 | |
| 11 | Metformin decelerates aging clock in male monkeys Hit paper breakdown → | 2024 | 155 |
| 12 | 2020 | 152 | |
| 13 | 2021 | 146 | |
| 14 | 2021 | 146 | |
| 15 | 2021 | 140 | |
| 16 | 2019 | 135 | |
| 17 | 2020 | 135 | |
| 18 | 2020 | 135 | |
| 19 | 2022 | 135 | |
| 20 | 2022 | 118 |
About Si Wang
Si Wang is a scholar working on Aging, Molecular Biology, Physiology, Genetics and Reproductive Medicine, having authored 177 papers that have together received 9k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (31 papers), Telomeres, Telomerase, and Senescence (30 papers), Single-cell and spatial transcriptomics (18 papers), Pluripotent Stem Cells Research (10 papers), Mesenchymal stem cell research (9 papers), Sperm and Testicular Function (8 papers), Genomics and Chromatin Dynamics (7 papers) and Reproductive Biology and Fertility (5 papers). The work is most often cited by research in Aging (1.4k citations), Geriatrics and Gerontology (287 citations), Physiology (1.6k citations), Molecular Biology (3.3k citations) and Reproductive Medicine (399 citations). Si Wang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Jing Tao Qu, Guang‐Hui Liu, Weiqi Zhang, Moshi Song, Juan Carlos Izpisúa Belmonte, Zunpeng Liu, Shuai Ma, Piu Chan, Jie Ren and Zeming Wu. Their work appears in journals such as Protein & Cell, Nucleic Acids Research, Nature Aging, Cell and Cell stem cell.
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.