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
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- RNA modifications and cancer 2
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- Cytomegalovirus and herpesvirus research 2
- Cervical Cancer and HPV Research 2
- Co-authors
- Daniel Hornburg (1 shared paper)Xiaotao Shen (1 shared paper)M Snyder (1 shared paper)Chuchu Wang (1 shared paper)Wenyu Zhou (1 shared paper)Xin Zhou (1 shared paper)Zhengrong Sun (7 shared papers)Xiaotian Zhang (2 shared papers)
- Journals
- International Journal of Food Science & Technology (1 paper)Child s Nervous System (1 paper)Oncology Reports (1 paper)The International Journal of Biochemistry & Cell Biology (1 paper)Nature Aging (1 paper)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Si Wu
19 papers receiving 338 citations
Si Wu's Hit Papers
Peers
Comparison fields: 5 of 94
- Aging 23
- Neurology 54
- Cancer Research 35
- Immunology 46
- Molecular Biology 126
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 | 141 |
| 2 | 2018 | 54 | |
| 3 | 2015 | 21 | |
| 4 | 2020 | 20 | |
| 5 | 2018 | 18 | |
| 6 | 2020 | 14 | |
| 7 | 2020 | 12 | |
| 8 | 2021 | 11 | |
| 9 | 2020 | 10 | |
| 10 | 2023 | 8 | |
| 11 | 2021 | 8 | |
| 12 | 2018 | 7 | |
| 13 | 2019 | 7 | |
| 14 | 2018 | 6 | |
| 15 | 2023 | 2 | |
| 16 | 2024 | 2 | |
| 17 | 2020 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2021 | 1 |
About Si Wu
Si Wu is a scholar working on Molecular Biology, Epidemiology, Immunology, Cancer Research and Pediatrics, Perinatology and Child Health, having authored 19 papers that have together received 344 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (3 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers), Cytomegalovirus and herpesvirus research (2 papers), RNA modifications and cancer (2 papers), Immunotherapy and Immune Responses (2 papers), Cervical Cancer and HPV Research (2 papers), Liver Disease and Transplantation (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Aging (23 citations), Neurology (54 citations), Cancer Research (35 citations), Immunology (46 citations) and Molecular Biology (126 citations). Si Wu has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Daniel Hornburg, Xiaotao Shen, M Snyder, Chuchu Wang, Wenyu Zhou, Xin Zhou, Zhengrong Sun, Xiaotian Zhang, Dongming Zheng and Shuyan Cong. Their work appears in journals such as International Journal of Food Science & Technology, Child s Nervous System, Oncology Reports, The International Journal of Biochemistry & Cell Biology and Nature Aging.
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.