Ye Hu
Impact in
- Cancer Research top 0.5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 1%
- Extracellular vesicles in disease
- RNA modifications and cancer
- Advanced biosensing and bioanalysis techniques
- Circular RNAs in diseases
Papers in
-
- Extracellular vesicles in disease 20
- Advanced biosensing and bioanalysis techniques 17
- RNA Interference and Gene Delivery 10
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- Biosensors and Analytical Detection 10
- Co-authors
- Christopher J. Lyon (25 shared papers)Jia Fan (16 shared papers)Jing‐Yuan Fang (9 shared papers)Mauro Ferrari (17 shared papers)Xuewu Liu (10 shared papers)Jie Xu (6 shared papers)Zhen Zhao (8 shared papers)Daniel H. Fine (6 shared papers)
- Journals
- Nature Communications (6 papers)Scientific Reports (4 papers)Analytical Chemistry (4 papers)Theranostics (4 papers)Clinical Proteomics (3 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Ye Hu
169 papers receiving 6.4k citations
Ye Hu's Hit Papers
Peers
Comparison fields: 5 of 157
- Cancer Research 2.0k
- Molecular Biology 3.9k
- Spectroscopy 467
- Biomedical Engineering 1.2k
- Oncology 625
Countries citing papers authored by Ye Hu
This map shows the geographic impact of Ye 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 Ye Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Hu more than expected).
Fields of papers citing papers by Ye Hu
This network shows the impact of papers produced by Ye 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 Ye Hu. The network helps show where Ye Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ye 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 173 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 435 | |
| 2 | 2014 | 361 | |
| 3 | 2016 | 325 | |
| 4 | 2017 | 319 | |
| 5 | 2013 | 316 | |
| 6 | 2016 | 278 | |
| 7 | 2014 | 234 | |
| 8 | Hypoxia inducible lncRNA-CBSLR modulates ferroptosis through m6A-YTHDF2-dependent modulation of CBS in gastric cancer Hit paper breakdown → | 2021 | 202 |
| 9 | 2014 | 155 | |
| 10 | 2018 | 153 | |
| 11 | 2014 | 141 | |
| 12 | 2018 | 120 | |
| 13 | 2016 | 113 | |
| 14 | 2017 | 94 | |
| 15 | 2019 | 87 | |
| 16 | 2016 | 85 | |
| 17 | 2009 | 85 | |
| 18 | 2013 | 82 | |
| 19 | 2015 | 81 | |
| 20 | 2016 | 81 |
About Ye Hu
Ye Hu is a scholar working on Molecular Biology, Biomedical Engineering, Cancer Research, Spectroscopy and Infectious Diseases, having authored 173 papers that have together received 6.5k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (20 papers), MicroRNA in disease regulation (18 papers), Advanced biosensing and bioanalysis techniques (17 papers), Advanced Proteomics Techniques and Applications (13 papers), Cancer-related molecular mechanisms research (12 papers), Mass Spectrometry Techniques and Applications (12 papers), RNA Interference and Gene Delivery (10 papers) and Biosensors and Analytical Detection (10 papers). The work is most often cited by research in Cancer Research (2.0k citations), Molecular Biology (3.9k citations), Spectroscopy (467 citations), Biomedical Engineering (1.2k citations) and Oncology (625 citations). Ye Hu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Christopher J. Lyon, Jia Fan, Jing‐Yuan Fang, Mauro Ferrari, Xuewu Liu, Jie Xu, Zhen Zhao, Daniel H. Fine, Hung‐Jen Wu and Bo Ning. Their work appears in journals such as Nature Communications, Scientific Reports, Analytical Chemistry, Theranostics and Clinical Proteomics.
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.