Ming Zhan
Impact in
- Cancer Research top 0.5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Aging top 2%
Papers in
-
- RNA modifications and cancer 22
- RNA Research and Splicing 17
- Pluripotent Stem Cells Research 12
- Gene Regulatory Network Analysis 11
- CRISPR and Genetic Engineering 9
-
- Cancer-related molecular mechanisms research 19
- MicroRNA in disease regulation 17
- Co-authors
- Myriam Gorospe (12 shared papers)Xiaoling Yang (6 shared papers)Lin Sun (10 shared papers)Jennifer L. Martindale (7 shared papers)Jian Wang (23 shared papers)Isabel López de Silanes (2 shared papers)Kotb Abdelmohsen (5 shared papers)Ashish Lal (3 shared papers)
- Journals
- PLoS ONE (7 papers)Bioinformatics (5 papers)Cell Death and Disease (5 papers)EBioMedicine (3 papers)Nucleic Acids Research (3 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Ming Zhan
161 papers receiving 7.6k citations
Ming Zhan's Hit Papers
Peers
Comparison fields: 5 of 143
- Cancer Research 2.1k
- Aging 161
- Nephrology 595
- Molecular Biology 5.2k
- Clinical Biochemistry 376
Countries citing papers authored by Ming Zhan
This map shows the geographic impact of Ming Zhan'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 Ming Zhan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Zhan more than expected).
Fields of papers citing papers by Ming Zhan
This network shows the impact of papers produced by Ming Zhan. 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 Ming Zhan. The network helps show where Ming Zhan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Zhan, 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 167 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | LincRNA-p21 Suppresses Target mRNA Translation Hit paper breakdown → | 2012 | 792 |
| 2 | 2004 | 427 | |
| 3 | 2013 | 325 | |
| 4 | 2014 | 248 | |
| 5 | 2005 | 201 | |
| 6 | 2008 | 173 | |
| 7 | AMPK agonist alleviate renal tubulointerstitial fibrosis via activating mitophagy in high fat and streptozotocin induced diabetic mice Hit paper breakdown → | 2021 | 163 |
| 8 | 2014 | 155 | |
| 9 | 2006 | 155 | |
| 10 | 2013 | 151 | |
| 11 | 2015 | 142 | |
| 12 | 2014 | 135 | |
| 13 | 2013 | 127 | |
| 14 | 2014 | 116 | |
| 15 | 2011 | 110 | |
| 16 | 2015 | 109 | |
| 17 | 2013 | 109 | |
| 18 | 2011 | 105 | |
| 19 | 2010 | 98 | |
| 20 | 2010 | 96 |
About Ming Zhan
Ming Zhan is a scholar working on Molecular Biology, Cancer Research, Surgery, Oncology and Pulmonary and Respiratory Medicine, having authored 167 papers that have together received 7.7k indexed citations. Recurring topics across this work include RNA modifications and cancer (22 papers), Cancer-related molecular mechanisms research (19 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (18 papers), RNA Research and Splicing (17 papers), MicroRNA in disease regulation (17 papers), Pluripotent Stem Cells Research (12 papers), Gene Regulatory Network Analysis (11 papers) and CRISPR and Genetic Engineering (9 papers). The work is most often cited by research in Cancer Research (2.1k citations), Aging (161 citations), Nephrology (595 citations), Molecular Biology (5.2k citations) and Clinical Biochemistry (376 citations). Ming Zhan has collaborated with scholars based in China, United States and France. Frequent co-authors include Myriam Gorospe, Xiaoling Yang, Lin Sun, Jennifer L. Martindale, Jian Wang, Isabel López de Silanes, Kotb Abdelmohsen, Ashish Lal, Huai Li and Yashpal S. Kanwar. Their work appears in journals such as PLoS ONE, Bioinformatics, Cell Death and Disease, EBioMedicine and Nucleic Acids 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.