Yang Hu
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments
Papers in
-
- Bioinformatics and Genomic Networks 26
- Machine Learning in Bioinformatics 17
- RNA modifications and cancer 12
- Biomedical Text Mining and Ontologies 8
- Genetics 35
- Genetic Associations and Epidemiology 29
- Co-authors
- Liang Cheng (27 shared papers)Tianyi Zhao (14 shared papers)Meng Zhou (7 shared papers)Qinghua Jiang (17 shared papers)Jie Sun (5 shared papers)Guiyou Liu (21 shared papers)Tianyi Zang (12 shared papers)Shuyang Yu (18 shared papers)
- Journals
- Scientific Reports (9 papers)Frontiers in Genetics (7 papers)Frontiers in Cell and Developmental Biology (5 papers)BMC Bioinformatics (5 papers)Journal of Alzheimer s Disease (5 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yang Hu
148 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 151
- Cancer Research 399
- Neurology 395
- Molecular Biology 1.7k
- Neurology 206
- Periodontics 116
Countries citing papers authored by Yang Hu
This map shows the geographic impact of Yang 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 Yang Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Hu more than expected).
Fields of papers citing papers by Yang Hu
This network shows the impact of papers produced by Yang 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 Yang Hu. The network helps show where Yang Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yang 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 152 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 263 | |
| 2 | 2018 | 209 | |
| 3 | 2020 | 111 | |
| 4 | 2018 | 89 | |
| 5 | 2018 | 81 | |
| 6 | 2013 | 79 | |
| 7 | 2014 | 74 | |
| 8 | 2016 | 72 | |
| 9 | 2016 | 71 | |
| 10 | 2021 | 71 | |
| 11 | 2020 | 65 | |
| 12 | 2018 | 63 | |
| 13 | 2015 | 61 | |
| 14 | 2018 | 56 | |
| 15 | 2018 | 53 | |
| 16 | 2019 | 50 | |
| 17 | 2016 | 50 | |
| 18 | 2017 | 50 | |
| 19 | 2020 | 48 | |
| 20 | 2016 | 48 |
About Yang Hu
Yang Hu is a scholar working on Molecular Biology, Genetics, Cancer Research, Epidemiology and Immunology, having authored 152 papers that have together received 3.5k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (29 papers), Bioinformatics and Genomic Networks (26 papers), Machine Learning in Bioinformatics (17 papers), RNA modifications and cancer (12 papers), Parkinson's Disease Mechanisms and Treatments (12 papers), Cancer-related molecular mechanisms research (10 papers), Computational Drug Discovery Methods (9 papers) and Biomedical Text Mining and Ontologies (8 papers). The work is most often cited by research in Cancer Research (399 citations), Neurology (395 citations), Molecular Biology (1.7k citations), Neurology (206 citations) and Periodontics (116 citations). Yang Hu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Liang Cheng, Tianyi Zhao, Meng Zhou, Qinghua Jiang, Jie Sun, Guiyou Liu, Tianyi Zang, Shuyang Yu, Lijun Zuo and Jiajie Peng. Their work appears in journals such as Scientific Reports, Frontiers in Genetics, Frontiers in Cell and Developmental Biology, BMC Bioinformatics and Journal of Alzheimer s Disease.
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.