Hao Li
Impact in
- Aging top 1%
- Molecular Biology top 2%
- Genomics and Chromatin Dynamics
- Mitochondrial Function and Pathology
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- RNA modifications and cancer
Papers in
-
- Epigenetics and DNA Methylation 17
- RNA modifications and cancer 15
- Mitochondrial Function and Pathology 14
- Genomics and Chromatin Dynamics 14
- Gene expression and cancer classification 9
- Genomics, phytochemicals, and oxidative stress 9
- Physiology 35
- Adipose Tissue and Metabolism 13
- Pain Mechanisms and Treatments 10
- Co-authors
- Eric D. Siggia (3 shared papers)Harmen J. Bussemaker (3 shared papers)Johan Auwerx (18 shared papers)Alexander D. Johnson (1 shared paper)Brian B. Tuch (1 shared paper)Zhihui Feng (11 shared papers)Jiankang Liu (11 shared papers)Adi Zheng (10 shared papers)
- Journals
- Scientific Reports (8 papers)Frontiers in Oncology (7 papers)Nature Communications (4 papers)PLoS ONE (3 papers)Frontiers in Microbiology (3 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Hao Li
209 papers receiving 5.8k citations
Hao Li's Hit Papers
Peers
Comparison fields: 5 of 166
- Aging 183
- Molecular Biology 3.2k
- Biochemistry 188
- Geriatrics and Gerontology 96
- Physiology 725
Countries citing papers authored by Hao Li
This map shows the geographic impact of Hao Li'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 Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Li more than expected).
Fields of papers citing papers by Hao Li
This network shows the impact of papers produced by Hao Li. 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 Li. The network helps show where Hao Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao Li, 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 222 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Regulatory element detection using correlation with expression Hit paper breakdown → | 2001 | 534 |
| 2 | 2006 | 210 | |
| 3 | 2008 | 195 | |
| 4 | 2000 | 176 | |
| 5 | 2013 | 176 | |
| 6 | 2013 | 166 | |
| 7 | 2017 | 148 | |
| 8 | 2021 | 147 | |
| 9 | 2012 | 144 | |
| 10 | 2014 | 122 | |
| 11 | 2019 | 118 | |
| 12 | 2018 | 94 | |
| 13 | 2017 | 94 | |
| 14 | 2015 | 90 | |
| 15 | 2019 | 87 | |
| 16 | 2014 | 69 | |
| 17 | 2018 | 68 | |
| 18 | 2009 | 62 | |
| 19 | 2021 | 62 | |
| 20 | 2014 | 60 |
About Hao Li
Hao Li is a scholar working on Molecular Biology, Physiology, Epidemiology, Oncology and Genetics, having authored 222 papers that have together received 5.9k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (17 papers), RNA modifications and cancer (15 papers), Mitochondrial Function and Pathology (14 papers), Genomics and Chromatin Dynamics (14 papers), Adipose Tissue and Metabolism (13 papers), Pain Mechanisms and Treatments (10 papers), Gene expression and cancer classification (9 papers) and Genomics, phytochemicals, and oxidative stress (9 papers). The work is most often cited by research in Aging (183 citations), Molecular Biology (3.2k citations), Biochemistry (188 citations), Geriatrics and Gerontology (96 citations) and Physiology (725 citations). Hao Li has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Eric D. Siggia, Harmen J. Bussemaker, Johan Auwerx, Alexander D. Johnson, Brian B. Tuch, Zhihui Feng, Jiankang Liu, Adi Zheng, Ke Cao and Jiangang Long. Their work appears in journals such as Scientific Reports, Frontiers in Oncology, Nature Communications, PLoS ONE and Frontiers in Microbiology.
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.