Ming Guan
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 5%
- Extracellular vesicles in disease
- Circular RNAs in diseases
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- Angiogenesis and VEGF in Cancer
Papers in
- Genetics 17
- Myeloproliferative Neoplasms: Diagnosis and Treatment 14
- Genomic variations and chromosomal abnormalities 6
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- Advanced biosensing and bioanalysis techniques 10
- Epigenetics and DNA Methylation 7
- Co-authors
- Yuan Lu (10 shared papers)Xinju Zhang (30 shared papers)Jun Wan (22 shared papers)Zhihua Kang (22 shared papers)Zhiyuan Wu (24 shared papers)Xuan Deng (10 shared papers)Haoyu Ruan (11 shared papers)Bo Yu (21 shared papers)
- Journals
- Clinica Chimica Acta (10 papers)PLoS ONE (5 papers)Scientific Reports (4 papers)International Journal of Cancer (3 papers)Clinical Rheumatology (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ming Guan
178 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 134
- Cancer Research 894
- Molecular Biology 1.8k
- Dermatology 203
- Immunology 439
- Genetics 198
Countries citing papers authored by Ming Guan
This map shows the geographic impact of Ming Guan'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 Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Guan more than expected).
Fields of papers citing papers by Ming Guan
This network shows the impact of papers produced by Ming Guan. 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 Guan. The network helps show where Ming Guan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Guan, 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 188 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 197 | |
| 2 | 2019 | 196 | |
| 3 | 2020 | 151 | |
| 4 | 2016 | 130 | |
| 5 | 2012 | 115 | |
| 6 | 2003 | 107 | |
| 7 | 2009 | 87 | |
| 8 | 2002 | 85 | |
| 9 | 2018 | 83 | |
| 10 | 2006 | 77 | |
| 11 | 2003 | 70 | |
| 12 | 2004 | 69 | |
| 13 | 2004 | 69 | |
| 14 | 2004 | 59 | |
| 15 | 2011 | 57 | |
| 16 | 2008 | 56 | |
| 17 | 2019 | 55 | |
| 18 | 2020 | 53 | |
| 19 | 2009 | 53 | |
| 20 | 2020 | 52 |
About Ming Guan
Ming Guan is a scholar working on Genetics, Molecular Biology, Cancer Research, Rheumatology and Neurology, having authored 188 papers that have together received 4.3k indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (14 papers), CNS Lymphoma Diagnosis and Treatment (10 papers), Advanced biosensing and bioanalysis techniques (10 papers), Eosinophilic Disorders and Syndromes (8 papers), Nanoplatforms for cancer theranostics (8 papers), Cancer-related molecular mechanisms research (7 papers), Epigenetics and DNA Methylation (7 papers) and Genomic variations and chromosomal abnormalities (6 papers). The work is most often cited by research in Cancer Research (894 citations), Molecular Biology (1.8k citations), Dermatology (203 citations), Immunology (439 citations) and Genetics (198 citations). Ming Guan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yuan Lu, Xinju Zhang, Jun Wan, Zhihua Kang, Zhiyuan Wu, Xuan Deng, Haoyu Ruan, Bo Yu, Hejian Zou and Ji Jin. Their work appears in journals such as Clinica Chimica Acta, PLoS ONE, Scientific Reports, International Journal of Cancer and Clinical Rheumatology.
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.