Hao Han
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer, Lipids, and Metabolism
- Cancer, Hypoxia, and Metabolism
- Biochemistry top 10%
- Phytochemicals and Antioxidant Activities
Papers in
-
- Bioinformatics and Genomic Networks 7
- Genomics and Phylogenetic Studies 3
- Machine Learning in Bioinformatics 3
- Surgery 10
- Co-authors
- Jinyan Li (3 shared papers)Huiqing Liu (3 shared papers)Limsoon Wong (3 shared papers)Lipei Liu (3 shared papers)Xiaoxiao Yang (3 shared papers)Yuanli Chen (3 shared papers)Yu Liang (3 shared papers)Yajun Duan (3 shared papers)
- Journals
- Briefings in Bioinformatics (3 papers)Scientific Reports (2 papers)Food & Function (2 papers)Journal of Agricultural and Food Chemistry (2 papers)Journal of Orthopaedic Surgery and Research (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Hao Han
67 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 137
- Cancer Research 166
- Biochemistry 54
- Molecular Biology 600
- Pharmaceutical Science 47
- Molecular Medicine 38
Countries citing papers authored by Hao Han
This map shows the geographic impact of Hao Han'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 Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Han more than expected).
Fields of papers citing papers by Hao Han
This network shows the impact of papers produced by Hao Han. 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 Han. The network helps show where Hao Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao Han, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 163 | |
| 2 | 2008 | 114 | |
| 3 | 2021 | 111 | |
| 4 | 2020 | 74 | |
| 5 | 2017 | 54 | |
| 6 | An in-silico method for prediction of polyadenylation signals in human sequences. | 2003 | 49 |
| 7 | 2018 | 45 | |
| 8 | 2016 | 44 | |
| 9 | 2011 | 42 | |
| 10 | 2004 | 42 | |
| 11 | 2019 | 42 | |
| 12 | 2022 | 39 | |
| 13 | 1995 | 38 | |
| 14 | 2021 | 36 | |
| 15 | 2004 | 28 | |
| 16 | 2022 | 25 | |
| 17 | 2015 | 25 | |
| 18 | 2022 | 25 | |
| 19 | 2023 | 23 | |
| 20 | 2023 | 21 |
About Hao Han
Hao Han is a scholar working on Molecular Biology, Surgery, Pharmacology, Pathology and Forensic Medicine and Cancer Research, having authored 74 papers that have together received 1.4k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (7 papers), Spine and Intervertebral Disc Pathology (7 papers), Musculoskeletal pain and rehabilitation (5 papers), Ionosphere and magnetosphere dynamics (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Genomics and Phylogenetic Studies (3 papers), GNSS positioning and interference (3 papers) and Machine Learning in Bioinformatics (3 papers). The work is most often cited by research in Cancer Research (166 citations), Biochemistry (54 citations), Molecular Biology (600 citations), Pharmaceutical Science (47 citations) and Molecular Medicine (38 citations). Hao Han has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Jinyan Li, Huiqing Liu, Limsoon Wong, Lipei Liu, Xiaoxiao Yang, Yuanli Chen, Yu Liang, Yajun Duan, Ching Yuan Hu and Chuanrui Ma. Their work appears in journals such as Briefings in Bioinformatics, Scientific Reports, Food & Function, Journal of Agricultural and Food Chemistry and Journal of Orthopaedic Surgery and Research.
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.