Hao He
Impact in
- Endocrinology top 5%
- Plant and Fungal Interactions Research
- Molecular Biology top 10%
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Cancer-related gene regulation
Papers in
-
- RNA modifications and cancer 10
- Bioinformatics and Genomic Networks 9
- RNA Research and Splicing 5
- Epigenetics and DNA Methylation 5
- Genetics 10
- Genetic Associations and Epidemiology 5
- Co-authors
- Hong‐Wen Deng (11 shared papers)Vivek M. Philip (6 shared papers)Stephen A. Murray (3 shared papers)Elissa J. Chesler (5 shared papers)Dewen Qiu (4 shared papers)Xiaoguang Chen (4 shared papers)Hong Wu (2 shared papers)Peter J. Brown (2 shared papers)
- Journals
- PLoS ONE (4 papers)Nucleic Acids Research (3 papers)Scientific Reports (1 paper)Human Molecular Genetics (1 paper)Frontiers in Cell and Developmental Biology (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Hao He
46 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 99
- Endocrinology 97
- Molecular Biology 716
- Genetics 213
- Aging 13
- Cancer Research 92
Countries citing papers authored by Hao He
This map shows the geographic impact of Hao He'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 He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao He more than expected).
Fields of papers citing papers by Hao He
This network shows the impact of papers produced by Hao He. 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 He. The network helps show where Hao He may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao He, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 128 | |
| 2 | 2013 | 98 | |
| 3 | 2020 | 91 | |
| 4 | 2021 | 73 | |
| 5 | 2013 | 62 | |
| 6 | 2003 | 62 | |
| 7 | 2014 | 55 | |
| 8 | 2016 | 53 | |
| 9 | 2019 | 48 | |
| 10 | 2018 | 37 | |
| 11 | 2016 | 35 | |
| 12 | 2016 | 29 | |
| 13 | 2012 | 26 | |
| 14 | 2023 | 26 | |
| 15 | 2023 | 22 | |
| 16 | 2015 | 19 | |
| 17 | 2018 | 19 | |
| 18 | 2016 | 18 | |
| 19 | 2019 | 17 | |
| 20 | 2015 | 17 |
About Hao He
Hao He is a scholar working on Molecular Biology, Genetics, Plant Science, Endocrinology and Orthopedics and Sports Medicine, having authored 49 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA modifications and cancer (10 papers), Bioinformatics and Genomic Networks (9 papers), Plant Virus Research Studies (7 papers), RNA Research and Splicing (5 papers), Genetic Associations and Epidemiology (5 papers), Epigenetics and DNA Methylation (5 papers), Bone health and osteoporosis research (4 papers) and Plant Disease Management Techniques (4 papers). The work is most often cited by research in Endocrinology (97 citations), Molecular Biology (716 citations), Genetics (213 citations), Aging (13 citations) and Cancer Research (92 citations). Hao He has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Hong‐Wen Deng, Vivek M. Philip, Stephen A. Murray, Elissa J. Chesler, Dewen Qiu, Xiaoguang Chen, Hong Wu, Peter J. Brown, Hong Zeng and Masoud Vedadi. Their work appears in journals such as PLoS ONE, Nucleic Acids Research, Scientific Reports, Human Molecular Genetics and Frontiers in Cell and Developmental Biology.
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.