Ming‐Yi Ho
Impact in
- Virology top 5%
- Poxvirus research and outbreaks
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- Glycosylation and Glycoproteins Research
- Sphingolipid Metabolism and Signaling
Papers in
- Oncology 5
- Cancer Immunotherapy and Biomarkers 2
-
- Glycosylation and Glycoproteins Research 8
- Sphingolipid Metabolism and Signaling 2
- Co-authors
- Chung-Lin Liao (2 shared papers)John C. L. Yu (7 shared papers)Chein‐Hung Chen (2 shared papers)Alice Lin-Tsing Yu (6 shared papers)Che-Sheng Chung (1 shared paper)Wen Chang (1 shared paper)Cheng‐Yen Huang (1 shared paper)Jung‐Tung Hung (4 shared papers)
- Journals
- International Journal of Cancer (3 papers)Oncotarget (2 papers)Journal of Inorganic Biochemistry (2 papers)Analytical and Bioanalytical Chemistry (1 paper)Rapid Communications in Mass Spectrometry (1 paper)
- Partner nations
- TaiwanUnited States
In The Last Decade
Ming‐Yi Ho
27 papers receiving 1k citations
Peers
Comparison fields: 5 of 74
- Virology 142
- Molecular Biology 366
- Cancer Research 66
- Spectroscopy 56
- Infectious Diseases 65
Countries citing papers authored by Ming‐Yi Ho
This map shows the geographic impact of Ming‐Yi Ho'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‐Yi Ho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Yi Ho more than expected).
Fields of papers citing papers by Ming‐Yi Ho
This network shows the impact of papers produced by Ming‐Yi Ho. 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‐Yi Ho. The network helps show where Ming‐Yi Ho may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming‐Yi Ho, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 227 | |
| 2 | 2006 | 109 | |
| 3 | 2012 | 65 | |
| 4 | 2018 | 57 | |
| 5 | 2017 | 56 | |
| 6 | 2016 | 51 | |
| 7 | 2017 | 43 | |
| 8 | 2008 | 42 | |
| 9 | 2018 | 40 | |
| 10 | 2012 | 38 | |
| 11 | 2016 | 38 | |
| 12 | 2017 | 37 | |
| 13 | 2013 | 30 | |
| 14 | 2015 | 28 | |
| 15 | 2016 | 25 | |
| 16 | 2010 | 21 | |
| 17 | 2011 | 20 | |
| 18 | 2008 | 18 | |
| 19 | 2014 | 18 | |
| 20 | 2001 | 15 |
About Ming‐Yi Ho
Ming‐Yi Ho is a scholar working on Oncology, Molecular Biology, Immunology, Cancer Research and Spectroscopy, having authored 27 papers that have together received 1k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (8 papers), Immunotherapy and Immune Responses (3 papers), Mass Spectrometry Techniques and Applications (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Inflammatory mediators and NSAID effects (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Sphingolipid Metabolism and Signaling (2 papers) and Hair Growth and Disorders (2 papers). The work is most often cited by research in Virology (142 citations), Molecular Biology (366 citations), Cancer Research (66 citations), Spectroscopy (56 citations) and Infectious Diseases (65 citations). Ming‐Yi Ho has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Chung-Lin Liao, John C. L. Yu, Chein‐Hung Chen, Alice Lin-Tsing Yu, Che-Sheng Chung, Wen Chang, Cheng‐Yen Huang, Jung‐Tung Hung, Chi‐Ming Liang and Shu‐Mei Liang. Their work appears in journals such as International Journal of Cancer, Oncotarget, Journal of Inorganic Biochemistry, Analytical and Bioanalytical Chemistry and Rapid Communications in Mass Spectrometry.
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.