Si Wu
Impact in
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms
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- Autoimmune Neurological Disorders and Treatments
- Peripheral Neuropathies and Disorders
Papers in
-
- Ubiquitin and proteasome pathways 1
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- Immunotherapy and Immune Responses 2
- Co-authors
- Xiaotao Shen (1 shared paper)M Snyder (1 shared paper)Xin Zhou (1 shared paper)Chuchu Wang (1 shared paper)Wenyu Zhou (1 shared paper)Daniel Hornburg (1 shared paper)Zhengrong Sun (7 shared papers)Dongming Zheng (2 shared papers)
- Journals
- Pharmacological Research (1 paper)Journal of Experimental & Clinical Cancer Research (1 paper)Frontiers in Molecular Biosciences (1 paper)The International Journal of Biochemistry & Cell Biology (1 paper)OncoTargets and Therapy (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Si Wu
19 papers receiving 391 citations
Si Wu's Hit Papers
Peers
Comparison fields: 5 of 88
- Aging 26
- Neurology 53
- Cancer Research 29
- Immunology 42
- Molecular Biology 129
Countries citing papers authored by Si Wu
This map shows the geographic impact of Si Wu'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 Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Si Wu more than expected).
Fields of papers citing papers by Si Wu
This network shows the impact of papers produced by Si Wu. 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 Wu. The network helps show where Si Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Si Wu, 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 | Nonlinear dynamics of multi-omics profiles during human aging Hit paper breakdown → | 2024 | 183 |
| 2 | 2018 | 54 | |
| 3 | 2015 | 22 | |
| 4 | 2020 | 20 | |
| 5 | 2018 | 19 | |
| 6 | 2020 | 14 | |
| 7 | 2020 | 14 | |
| 8 | 2020 | 12 | |
| 9 | 2021 | 12 | |
| 10 | 2021 | 9 | |
| 11 | 2019 | 8 | |
| 12 | 2023 | 8 | |
| 13 | 2018 | 8 | |
| 14 | 2018 | 6 | |
| 15 | 2024 | 4 | |
| 16 | 2023 | 2 | |
| 17 | 2021 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2020 | 1 |
About Si Wu
Si Wu is a scholar working on Molecular Biology, Immunology, Epidemiology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 19 papers that have together received 398 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (2 papers), Cytomegalovirus and herpesvirus research (2 papers), Immunotherapy and Immune Responses (2 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers), Cancer-related molecular mechanisms research (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Ubiquitin and proteasome pathways (1 paper) and Chronic Kidney Disease and Diabetes (1 paper). The work is most often cited by research in Aging (26 citations), Neurology (53 citations), Cancer Research (29 citations), Immunology (42 citations) and Molecular Biology (129 citations). Si Wu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Xiaotao Shen, M Snyder, Xin Zhou, Chuchu Wang, Wenyu Zhou, Daniel Hornburg, Zhengrong Sun, Dongming Zheng, Xiaotian Zhang and Cong Lin. Their work appears in journals such as Pharmacological Research, Journal of Experimental & Clinical Cancer Research, Frontiers in Molecular Biosciences, The International Journal of Biochemistry & Cell Biology and OncoTargets and Therapy.
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.