Changqing Zeng
- Molecular Biology top 10%
- Cell Biology top 5%
- Epidemiology top 10%
- Oncology top 10%
- Genetics top 10%
- Topics
- Hepatitis B Virus Studies (10 papers)Microtubule and mitosis dynamics (9 papers)Hepatitis C virus research (8 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Changqing Zeng
87 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Molecular Biology 1.1k
- Cell Biology 306
- Epidemiology 282
- Oncology 241
- Genetics 219
Countries citing papers authored by Changqing Zeng
This map shows the geographic impact of Changqing Zeng'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 Changqing Zeng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changqing Zeng more than expected).
Fields of papers citing papers by Changqing Zeng
This network shows the impact of papers produced by Changqing Zeng. 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 Changqing Zeng. The network helps show where Changqing Zeng may publish in the future.
Co-authorship network of co-authors of Changqing Zeng
This figure shows the co-authorship network connecting the top 25 collaborators of Changqing Zeng. A scholar is included among the top collaborators of Changqing Zeng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Changqing Zeng. Changqing Zeng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | Exosomal miR-302b rejuvenates aging mice by reversing the proliferative arrest of senescent cellsbreakdown → | 34 |
| 5 | 19 | |
| 6 | 17 | |
| 7 | Determination of five active components in Uncaria rhynchophylla leaves. | 3 |
| 8 | 1 | |
| 9 | 14 | |
| 10 | 19 | |
| 11 | 8 | |
| 12 | 6 | |
| 13 | Molecular identification of one species of Uncaria sinensis (Oliv.) Havil. | 1 |
| 14 | ITS sequence RFLP analysis of two Uncaria macrophylla Wall from different regions | 1 |
| 15 | 35 | |
| 16 | Association between MYOC.mt1 promoter polymorphism and risk of primary open-angle glaucoma: a systematic review and meta-analysis. | 7 |
| 17 | 218 | |
| 18 | 20 | |
| 19 | The International Human Genome Haplotype Map (HapMap) Project and Its China Chapter | 5 |
| 20 | 176 |
About Changqing Zeng
Changqing Zeng is a scholar working on Hepatology, Ophthalmology and Pharmacology, having authored 92 papers that have together received 2.0k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (10 papers), Microtubule and mitosis dynamics (9 papers) and Hepatitis C virus research (8 papers). The work is most often cited by research in Cell Biology (306 citations), Hepatology (137 citations) and Molecular Biology (1.1k citations). Changqing Zeng has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Dake Zhang, Wei Chen, Malathi Hari, Fernando Cabral, B. R. Brinkley, Sufang Ma, Hailing Yang, Yang Gao, Albert Tousson and Manuel M. Valdivia. Their work appears in journals such as Nature Genetics, The Journal of Cell Biology and The EMBO Journal.
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.