Shaohua Yu
- Cancer Research top 2%
- Cancer-related molecular mechanisms research 4
- Immunology top 2%
- Immune Cell Function and Interaction 5
- Immunotherapy and Immune Responses 4
- Nephrology top 5%
- Gout, Hyperuricemia, Uric Acid 8
- Rheumatology top 5%
- Molecular Biology top 5%
- Extracellular vesicles in disease 5
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- Cardiac Arrest and Resuscitation 8
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- Autophagy in Disease and Therapy 6
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- Acute Myocardial Infarction Research 4
- Co-authors
- Jasvinder A. SinghLang ChenJohn D. ClevelandCunren LiuWilliam E. GrizzleHuang‐Ge ZhangJianhua WangRobert P. Kimberly
- Cited by
- Cancer ResearchImmunologyNephrology
- Journals
- Journal of Clinical Investigation (2 papers)Blood (1 paper)The Journal of Immunology (4 papers)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Shaohua Yu
62 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Cancer Research 703
- Immunology 957
- Nephrology 204
- Rheumatology 328
- Molecular Biology 1.5k
Countries citing papers authored by Shaohua Yu
This map shows the geographic impact of Shaohua Yu'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 Shaohua Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaohua Yu more than expected).
Fields of papers citing papers by Shaohua Yu
This network shows the impact of papers produced by Shaohua Yu. 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 Shaohua Yu. The network helps show where Shaohua Yu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shaohua Yu, 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 | 2025 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2022 | 3 | |
| 6 | 2022 | 3 | |
| 7 | 2022 | 10 | |
| 8 | 2020 | 16 | |
| 9 | 2017 | 32 | |
| 10 | 2017 | 30 | |
| 11 | 2016 | 12 | |
| 12 | 2016 | 43 | |
| 13 | 2015 | 43 | |
| 14 | Iron Ion (56Fe) Radiation Increases the Size of Pre-Existing Atherosclerotic Lesions in ApoE-/- Mice | 2011 | 1 |
| 15 | 2011 | 43 | |
| 16 | 2007 | 17 | |
| 17 | 2007 | 99 | |
| 18 | 2006 | 229 | |
| 19 | 2006 | 408 | |
| 20 | 2004 | 69 |
About Shaohua Yu
Shaohua Yu is a scholar working on Nephrology, Emergency Medicine and Immunology, having authored 63 papers that have together received 3.5k indexed citations. Recurring topics across this work include Gout, Hyperuricemia, Uric Acid (8 papers), Cardiac Arrest and Resuscitation (8 papers), Autophagy in Disease and Therapy (6 papers), Immune Cell Function and Interaction (5 papers), Extracellular vesicles in disease (5 papers), Immunotherapy and Immune Responses (4 papers), Cancer-related molecular mechanisms research (4 papers) and Acute Myocardial Infarction Research (4 papers). The work is most often cited by research in Cancer Research (703 citations), Immunology (957 citations) and Nephrology (204 citations). Shaohua Yu has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Jasvinder A. Singh, Lang Chen, John D. Cleveland, Cunren Liu, William E. Grizzle, Huang‐Ge Zhang, Jianhua Wang, Robert P. Kimberly, Liming Zhang and John C. Kappes. Their work appears in journals such as Journal of Clinical Investigation, Blood and The Journal of 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.