Zhong-Hao Ren
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
-
- Computational Drug Discovery Methods
Papers in
-
- Machine Learning in Bioinformatics 7
- Bioinformatics and Genomic Networks 7
- Circular RNAs in diseases 5
- Biomedical Text Mining and Ontologies 4
- Plant biochemistry and biosynthesis 3
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- Computational Drug Discovery Methods 9
- Co-authors
- Chang-Qing Yu (18 shared papers)Zhu‐Hong You (11 shared papers)Jie Pan (12 shared papers)Xinfei Wang (7 shared papers)Liping Li (5 shared papers)Wenzhun Huang (3 shared papers)Liping Li (6 shared papers)Liping Li (2 shared papers)
- Journals
- Frontiers in Genetics (5 papers)Briefings in Bioinformatics (3 papers)Biology (3 papers)Nature Communications (2 papers)Journal of Chemical Information and Modeling (2 papers)
- Partner nations
- ChinaSwedenSaudi Arabia
In The Last Decade
Zhong-Hao Ren
20 papers receiving 306 citations
Peers
Comparison fields: 5 of 39
- Cancer Research 161
- Computational Theory and Mathematics 101
- Molecular Biology 270
- Pharmacology 15
- Toxicology 3
Countries citing papers authored by Zhong-Hao Ren
This map shows the geographic impact of Zhong-Hao Ren'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 Zhong-Hao Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhong-Hao Ren more than expected).
Fields of papers citing papers by Zhong-Hao Ren
This network shows the impact of papers produced by Zhong-Hao Ren. 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 Zhong-Hao Ren. The network helps show where Zhong-Hao Ren may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhong-Hao Ren, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 41 | |
| 2 | 2022 | 40 | |
| 3 | 2022 | 40 | |
| 4 | 2022 | 34 | |
| 5 | 2023 | 28 | |
| 6 | 2023 | 28 | |
| 7 | 2022 | 25 | |
| 8 | 2022 | 8 | |
| 9 | 2021 | 8 | |
| 10 | 2021 | 7 | |
| 11 | 2021 | 6 | |
| 12 | 2023 | 6 | |
| 13 | 2024 | 6 | |
| 14 | 2022 | 5 | |
| 15 | 2024 | 5 | |
| 16 | 2022 | 5 | |
| 17 | 2025 | 5 | |
| 18 | 2022 | 5 | |
| 19 | 2023 | 4 | |
| 20 | 2021 | 3 |
About Zhong-Hao Ren
Zhong-Hao Ren is a scholar working on Molecular Biology, Computational Theory and Mathematics, Cancer Research, Pharmacology and Genetics, having authored 21 papers that have together received 309 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Cancer-related molecular mechanisms research (8 papers), MicroRNA in disease regulation (7 papers), Machine Learning in Bioinformatics (7 papers), Bioinformatics and Genomic Networks (7 papers), Circular RNAs in diseases (5 papers), Biomedical Text Mining and Ontologies (4 papers) and Plant biochemistry and biosynthesis (3 papers). The work is most often cited by research in Cancer Research (161 citations), Computational Theory and Mathematics (101 citations), Molecular Biology (270 citations), Pharmacology (15 citations) and Toxicology (3 citations). Zhong-Hao Ren has collaborated with scholars based in China, Sweden and Saudi Arabia. Frequent co-authors include Chang-Qing Yu, Zhu‐Hong You, Jie Pan, Xinfei Wang, Liping Li, Wenzhun Huang, Liping Li, Liping Li, Lei Wang and Bo-Wei Zhao. Their work appears in journals such as Frontiers in Genetics, Briefings in Bioinformatics, Biology, Nature Communications and Journal of Chemical Information and Modeling.
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.