Ming Guan
Impact in
- Infectious Diseases top 5%
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 and COVID-19 Research
- Hepatology top 5%
- Hepatitis Viruses Studies and Epidemiology
- Liver Disease and Transplantation
Papers in
-
- SARS-CoV-2 detection and testing 6
- SARS-CoV-2 and COVID-19 Research 6
- Viral gastroenteritis research and epidemiology 5
- Health 8
- Health disparities and outcomes 8
- Co-authors
- N.C. PopescuMarian E. DurkinTeresa HowardLu YangFrancis ChanTiziana LazzarottoAlessandro RipaltiM.P. Landini
- Journals
- Clinical and Vaccine Immunology (6 papers)Journal of Clinical Microbiology (4 papers)Clinical Chemistry and Laboratory Medicine (CCLM) (3 papers)Clinica Chimica Acta (3 papers)Cost Effectiveness and Resource Allocation (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ming Guan
70 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 123
- Infectious Diseases 305
- Hepatology 118
- Parasitology 93
- Virology 40
- Dermatology 63
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 6 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 3 | |
| 7 | 2021 | 2 | |
| 8 | AKAP12 Endogenous Transcripts Suppress The Proliferation, Migration And Invasion Of Colorectal Cancer Cells By Directly Targeting oncomiR-183-5p | 2019 | 0 |
| 9 | 2019 | 12 | |
| 10 | 2019 | 5 | |
| 11 | 2015 | 40 | |
| 12 | 2015 | 26 | |
| 13 | 2012 | 42 | |
| 14 | 2012 | 27 | |
| 15 | 2011 | 31 | |
| 16 | 2010 | 24 | |
| 17 | 2009 | 1 | |
| 18 | 2008 | 36 | |
| 19 | 2008 | 15 | |
| 20 | [Downregulation of the pigment epithelium derived factor by hypoxia and elevated glucose concentration in cultured human retinal pigment epithelial cells]. | 2003 | 15 |
About Ming Guan
Ming Guan is a scholar working on Infectious Diseases, Health, General Engineering, Parasitology and Finance, having authored 77 papers that have together received 1.1k indexed citations. Recurring topics across this work include Health disparities and outcomes (8 papers), SARS-CoV-2 detection and testing (6 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Healthcare Systems and Reforms (6 papers), Viral gastroenteritis research and epidemiology (5 papers), Hepatitis Viruses Studies and Epidemiology (4 papers), Cytomegalovirus and herpesvirus research (4 papers) and Biosensors and Analytical Detection (4 papers). The work is most often cited by research in Infectious Diseases (305 citations), Hepatology (118 citations), Parasitology (93 citations), Virology (40 citations) and Dermatology (63 citations). Ming Guan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include N.C. Popescu, Marian E. Durkin, Teresa Howard, Lu Yang, Francis Chan, Tiziana Lazzarotto, Alessandro Ripalti, M.P. Landini, David A. Anderson and Xinju Zhang. Their work appears in journals such as Clinical and Vaccine Immunology, Journal of Clinical Microbiology, Clinical Chemistry and Laboratory Medicine (CCLM), Clinica Chimica Acta and Cost Effectiveness and Resource Allocation.
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.