Zhan Yang
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
-
- Circular RNAs in diseases 12
- Kruppel-like factors research 10
- RNA modifications and cancer 7
-
- Cancer-related molecular mechanisms research 12
- MicroRNA in disease regulation 11
- Co-authors
- Jin‐Kun Wen (23 shared papers)Bin Zheng (19 shared papers)Liuyu Huang (15 shared papers)Dayang Zou (16 shared papers)Derong Dong (10 shared papers)Simo Huang (12 shared papers)Xinhua Zhang (8 shared papers)Ningwei Liu (6 shared papers)
- Journals
- The FASEB Journal (7 papers)Frontiers in Microbiology (5 papers)Scientific Reports (4 papers)Journal of Experimental & Clinical Cancer Research (3 papers)BMC Cancer (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Zhan Yang
83 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 114
- Cancer Research 466
- Molecular Medicine 149
- Endocrinology 93
- Molecular Biology 1.2k
- Infectious Diseases 141
Countries citing papers authored by Zhan Yang
This map shows the geographic impact of Zhan Yang'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 Zhan Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhan Yang more than expected).
Fields of papers citing papers by Zhan Yang
This network shows the impact of papers produced by Zhan Yang. 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 Zhan Yang. The network helps show where Zhan Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhan Yang, 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 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 146 | |
| 2 | 2013 | 110 | |
| 3 | 2017 | 107 | |
| 4 | 2017 | 101 | |
| 5 | 2016 | 78 | |
| 6 | 2017 | 77 | |
| 7 | 2017 | 74 | |
| 8 | 2023 | 53 | |
| 9 | 2015 | 53 | |
| 10 | 2015 | 50 | |
| 11 | 2015 | 50 | |
| 12 | 2015 | 49 | |
| 13 | 2023 | 49 | |
| 14 | 2015 | 48 | |
| 15 | 2021 | 43 | |
| 16 | 2017 | 42 | |
| 17 | 2015 | 38 | |
| 18 | 2016 | 38 | |
| 19 | 2012 | 37 | |
| 20 | 2020 | 36 |
About Zhan Yang
Zhan Yang is a scholar working on Molecular Biology, Cancer Research, Biomedical Engineering, Molecular Medicine and Pulmonary and Respiratory Medicine, having authored 89 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (12 papers), Circular RNAs in diseases (12 papers), MicroRNA in disease regulation (11 papers), Kruppel-like factors research (10 papers), Antibiotic Resistance in Bacteria (7 papers), RNA modifications and cancer (7 papers), Biosensors and Analytical Detection (6 papers) and Renal cell carcinoma treatment (4 papers). The work is most often cited by research in Cancer Research (466 citations), Molecular Medicine (149 citations), Endocrinology (93 citations), Molecular Biology (1.2k citations) and Infectious Diseases (141 citations). Zhan Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jin‐Kun Wen, Bin Zheng, Liuyu Huang, Dayang Zou, Derong Dong, Simo Huang, Xinhua Zhang, Ningwei Liu, Wei Liu and Manli Zhang. Their work appears in journals such as The FASEB Journal, Frontiers in Microbiology, Scientific Reports, Journal of Experimental & Clinical Cancer Research and BMC Cancer.
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.