Yan‐Wei Hu
Impact in
- Cancer Research top 0.5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 5%
- Circular RNAs in diseases
- RNA modifications and cancer
- Inflammasome and immune disorders
- Extracellular vesicles in disease
Papers in
-
- RNA modifications and cancer 11
- RNA Research and Splicing 8
- Circular RNAs in diseases 7
-
- Cancer-related molecular mechanisms research 23
- MicroRNA in disease regulation 8
- Co-authors
- Lei Zheng (60 shared papers)Qian Wang (39 shared papers)Yuan‐Jun Xu (7 shared papers)Xin Ma (20 shared papers)Jinlan Huang (11 shared papers)Jiayi Zhao (17 shared papers)Jingbo Lu (16 shared papers)Yu‐Rong Qiu (12 shared papers)
- Journals
- DNA and Cell Biology (6 papers)Atherosclerosis (6 papers)PLoS ONE (4 papers)Clinica Chimica Acta (4 papers)Archives of Biochemistry and Biophysics (3 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Yan‐Wei Hu
106 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 108
- Cancer Research 1.6k
- Molecular Biology 2.1k
- Immunology 474
- Nephrology 92
- Surgery 540
Countries citing papers authored by Yan‐Wei Hu
This map shows the geographic impact of Yan‐Wei Hu'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 Yan‐Wei Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan‐Wei Hu more than expected).
Fields of papers citing papers by Yan‐Wei Hu
This network shows the impact of papers produced by Yan‐Wei Hu. 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 Yan‐Wei Hu. The network helps show where Yan‐Wei Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan‐Wei Hu, 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 108 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 269 | |
| 2 | 2018 | 171 | |
| 3 | 2014 | 166 | |
| 4 | 2019 | 142 | |
| 5 | 2014 | 130 | |
| 6 | 2017 | 122 | |
| 7 | 2018 | 105 | |
| 8 | 2014 | 104 | |
| 9 | 2015 | 85 | |
| 10 | 2016 | 84 | |
| 11 | 2008 | 82 | |
| 12 | 2017 | 81 | |
| 13 | 2018 | 78 | |
| 14 | 2019 | 77 | |
| 15 | 2016 | 72 | |
| 16 | 2008 | 71 | |
| 17 | 2016 | 69 | |
| 18 | 2010 | 63 | |
| 19 | 2018 | 61 | |
| 20 | 2020 | 58 |
About Yan‐Wei Hu
Yan‐Wei Hu is a scholar working on Molecular Biology, Cancer Research, Immunology, Surgery and Oncology, having authored 108 papers that have together received 3.7k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (23 papers), Cholesterol and Lipid Metabolism (16 papers), Atherosclerosis and Cardiovascular Diseases (13 papers), RNA modifications and cancer (11 papers), RNA Research and Splicing (8 papers), MicroRNA in disease regulation (8 papers), Drug Transport and Resistance Mechanisms (7 papers) and Circular RNAs in diseases (7 papers). The work is most often cited by research in Cancer Research (1.6k citations), Molecular Biology (2.1k citations), Immunology (474 citations), Nephrology (92 citations) and Surgery (540 citations). Yan‐Wei Hu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Lei Zheng, Qian Wang, Yuan‐Jun Xu, Xin Ma, Jinlan Huang, Jiayi Zhao, Jingbo Lu, Yu‐Rong Qiu, Chun‐Min Kang and Yan-Hua Sha. Their work appears in journals such as DNA and Cell Biology, Atherosclerosis, PLoS ONE, Clinica Chimica Acta and Archives of Biochemistry and Biophysics.
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.