Yu Han
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 10%
- Extracellular vesicles in disease
- Circular RNAs in diseases
- RNA modifications and cancer
Papers in ⓘ
-
- Acute Kidney Injury Research 5
- Co-authors
- Pedro A. José (28 shared papers)Duofen He (22 shared papers)Chunyu Zeng (17 shared papers)Caiyu Chen (12 shared papers)Yukai Liu (13 shared papers)Chunyu Zeng (19 shared papers)Jin Cai (3 shared papers)Hongmei Ren (13 shared papers)
- Journals
- American Journal of Hypertension (4 papers)Clinical Science (3 papers)PLoS ONE (3 papers)Journal of Hypertension (2 papers)Journal of the American Heart Association (2 papers)
- Partner nations
- ChinaUnited StatesRomania
In The Last Decade
Yu Han
57 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 102
- Cancer Research 580
- Molecular Biology 1.2k
- Nephrology 110
- Cardiology and Cardiovascular Medicine 306
- Physiology 341
Countries citing papers authored by Yu Han
This map shows the geographic impact of Yu Han'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 Yu Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Han more than expected).
Fields of papers citing papers by Yu Han
This network shows the impact of papers produced by Yu Han. 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 Yu Han. The network helps show where Yu Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Han, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 412 | |
| 2 | 2013 | 204 | |
| 3 | 2016 | 119 | |
| 4 | 2016 | 100 | |
| 5 | 2018 | 99 | |
| 6 | 2015 | 92 | |
| 7 | 2014 | 63 | |
| 8 | 2012 | 52 | |
| 9 | 2013 | 52 | |
| 10 | 2013 | 43 | |
| 11 | 2013 | 37 | |
| 12 | 2011 | 34 | |
| 13 | 2009 | 32 | |
| 14 | 2008 | 25 | |
| 15 | 2014 | 24 | |
| 16 | Rutin ameliorates renal fibrosis and proteinuria in 5/6-nephrectomized rats by anti-oxidation and inhibiting activation of TGFβ1-smad signaling. | 2015 | 24 |
| 17 | 2014 | 23 | |
| 18 | 2023 | 22 | |
| 19 | 2021 | 21 | |
| 20 | 2009 | 20 |
About Yu Han
Yu Han is a scholar working on Nephrology, Biological Psychiatry, Endocrinology, Diabetes and Metabolism, Physiology and Physiology, having authored 61 papers that have together received 1.9k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (10 papers), Nitric Oxide and Endothelin Effects (9 papers), Hormonal Regulation and Hypertension (8 papers), Renin-Angiotensin System Studies (7 papers), Ion Transport and Channel Regulation (6 papers), Acute Kidney Injury Research (5 papers), Adipose Tissue and Metabolism (5 papers) and Cardiac Ischemia and Reperfusion (5 papers). The work is most often cited by research in Cancer Research (580 citations), Molecular Biology (1.2k citations), Nephrology (110 citations), Cardiology and Cardiovascular Medicine (306 citations) and Physiology (341 citations). Yu Han has collaborated with scholars based in China, United States and Romania. Frequent co-authors include Pedro A. José, Duofen He, Chunyu Zeng, Caiyu Chen, Yukai Liu, Chunyu Zeng, Jin Cai, Hongmei Ren, Lin Zhou and Laureano D. Asico. Their work appears in journals such as American Journal of Hypertension, Clinical Science, PLoS ONE, Journal of Hypertension and Journal of the American Heart Association.
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.