Hao Yu
Impact in
-
- Advanced Combustion Engine Technologies
- Biological Psychiatry top 5%
Papers in
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- RNA Research and Splicing 5
- Genetics 24
- Genetic Associations and Epidemiology 14
- Genetics and Neurodevelopmental Disorders 9
- Co-authors
- Zheng Chen (4 shared papers)Weihua Yue (34 shared papers)Dai Zhang (26 shared papers)Zhibo Wen (7 shared papers)Xianlong Wang (7 shared papers)Shanshan Jiang (6 shared papers)Jun Zou (13 shared papers)Jinyuan Zhou (5 shared papers)
- Journals
- Scientific Reports (8 papers)PLoS ONE (8 papers)European Radiology (5 papers)Translational Psychiatry (3 papers)Frontiers in Psychiatry (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Hao Yu
148 papers receiving 3.4k citations
Hao Yu's Hit Papers
Peers
Comparison fields: 5 of 164
- Fluid Flow and Transfer Processes 336
- Biological Psychiatry 71
- Computational Mechanics 371
- Oncology 392
- Pathology and Forensic Medicine 241
Countries citing papers authored by Hao Yu
This map shows the geographic impact of Hao 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 Hao Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Yu more than expected).
Fields of papers citing papers by Hao Yu
This network shows the impact of papers produced by Hao 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 Hao Yu. The network helps show where Hao Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao 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
Showing the 20 most-cited of 162 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 193 | |
| 2 | Kidney damage causally affects the brain cortical structure: A Mendelian randomization study Hit paper breakdown → | 2021 | 169 |
| 3 | 2017 | 140 | |
| 4 | 2015 | 119 | |
| 5 | 2016 | 106 | |
| 6 | 2016 | 97 | |
| 7 | 2015 | 91 | |
| 8 | 1998 | 76 | |
| 9 | 2019 | 64 | |
| 10 | 2015 | 63 | |
| 11 | 2021 | 63 | |
| 12 | 2016 | 63 | |
| 13 | 2021 | 61 | |
| 14 | 2017 | 61 | |
| 15 | 2016 | 61 | |
| 16 | 2017 | 59 | |
| 17 | 2015 | 53 | |
| 18 | 2016 | 52 | |
| 19 | 2016 | 51 | |
| 20 | 2018 | 47 |
About Hao Yu
Hao Yu is a scholar working on Molecular Biology, Genetics, Cognitive Neuroscience, Pathology and Forensic Medicine and Psychiatry and Mental health, having authored 162 papers that have together received 3.5k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (14 papers), Spine and Intervertebral Disc Pathology (10 papers), Functional Brain Connectivity Studies (9 papers), Genetics and Neurodevelopmental Disorders (9 papers), Autism Spectrum Disorder Research (8 papers), MRI in cancer diagnosis (5 papers), RNA Research and Splicing (5 papers) and Lanthanide and Transition Metal Complexes (5 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (336 citations), Biological Psychiatry (71 citations), Computational Mechanics (371 citations), Oncology (392 citations) and Pathology and Forensic Medicine (241 citations). Hao Yu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zheng Chen, Weihua Yue, Dai Zhang, Zhibo Wen, Xianlong Wang, Shanshan Jiang, Jun Zou, Jinyuan Zhou, Xiaobin Gu and Xianshu Gao. Their work appears in journals such as Scientific Reports, PLoS ONE, European Radiology, Translational Psychiatry and Frontiers in Psychiatry.
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.