Chenzhong Liao
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- Computational Drug Discovery Methods 11
- Oncology top 5%
- Cancer-related Molecular Pathways 9
- Peptidase Inhibition and Analysis 8
- Molecular Biology top 5%
- Biochemical and Molecular Research 9
- Histone Deacetylase Inhibitors Research 9
- Organic Chemistry top 5%
- Cell Biology top 5%
- Microtubule and mitosis dynamics 9
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- HIV/AIDS drug development and treatment 11
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- HIV Research and Treatment 8
- Co-authors
- Marc C. NicklausZhouling XieZaneta Nikolovska‐ColeskaYajun DuanJihong HanXiaoxiao YangBan‐Feng RuanMarkus Sitzmann
- Journals
- Journal of the American Chemical Society (2 papers)Journal of Biological Chemistry (3 papers)Nature Communications (1 paper)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Chenzhong Liao
105 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 119
- Computational Theory and Mathematics 357
- Oncology 599
- Molecular Biology 1.5k
- Organic Chemistry 530
- Cell Biology 215
Countries citing papers authored by Chenzhong Liao
This map shows the geographic impact of Chenzhong Liao'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 Chenzhong Liao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenzhong Liao more than expected).
Fields of papers citing papers by Chenzhong Liao
This network shows the impact of papers produced by Chenzhong Liao. 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 Chenzhong Liao. The network helps show where Chenzhong Liao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chenzhong Liao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 5 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 10 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 9 | |
| 7 | 2023 | 8 | |
| 8 | 2023 | 12 | |
| 9 | 2023 | 18 | |
| 10 | 2022 | 36 | |
| 11 | 2020 | 17 | |
| 12 | 2020 | 15 | |
| 13 | 2018 | 15 | |
| 14 | 2017 | 28 | |
| 15 | 2016 | 7 | |
| 16 | 2015 | 31 | |
| 17 | 2015 | 11 | |
| 18 | 2013 | 158 | |
| 19 | Synthesis of chidamide,a new histone deacetylase (HDAC) inhibitor | 2004 | 4 |
| 20 | Current strategies in research of anti-diabetics by employment of PPAR (peroxisome proliferator-activated receptor) as a target | 2003 | 1 |
About Chenzhong Liao
Chenzhong Liao is a scholar working on Virology, Oncology and Hematology, having authored 107 papers that have together received 2.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), HIV/AIDS drug development and treatment (11 papers), Biochemical and Molecular Research (9 papers), Microtubule and mitosis dynamics (9 papers), Histone Deacetylase Inhibitors Research (9 papers), Cancer-related Molecular Pathways (9 papers), HIV Research and Treatment (8 papers) and Peptidase Inhibition and Analysis (8 papers). The work is most often cited by research in Computational Theory and Mathematics (357 citations), Oncology (599 citations) and Molecular Biology (1.5k citations). Chenzhong Liao has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Marc C. Nicklaus, Zhouling Xie, Zaneta Nikolovska‐Coleska, Yajun Duan, Jihong Han, Xiaoxiao Yang, Ban‐Feng Ruan, Markus Sitzmann, Xueqin Hu and Angelo Pugliese. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Nature Communications.
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.