Ming‐Yi Ho

1.3k citations
28 papers · 982 · h-index 18

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 9
    • Ubiquitin and proteasome pathways 3
    • RNA and protein synthesis mechanisms 3

Ming‐Yi Ho

28 papers receiving 971 citations

Peers

Ming‐Yi Ho
Comparison fields: 5 of 96
  • Virology 146
  • Immunology 175
  • Molecular Biology 512
  • Cancer Research 86
  • Epidemiology 146
Replace Nathan P. Manes with:
Nathan P. Manes United States
Morten Beck Trelle Denmark
Shumei Wang China
Mayuko Nishi Japan
Qi Luo China
Gary A. Beaudry United States
Hongjing Qu United States
Paul Tawa United States
Xueji Wu China
Michael G. Klein United States
Ming‐Yi Ho relative to Nathan P. Manes United States Nathan P. Manes's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ming‐Yi Ho

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ming‐Yi Ho Line = papers co-authored together Ming‐Yi Ho links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006222
2 2006101
3 201261
4 201855
5 201752
6 201650
7 201740
8 200839
9 201838
10 201236
11 201736
12 201635
13 201328
14 201525
15 201624
16 201020
17 201120
18 201418
19 200817
20 200115

About Ming‐Yi Ho

Ming‐Yi Ho is a scholar working on Molecular Biology, Oncology, Cell Biology, Immunology and Genetics, having authored 28 papers that have together received 982 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (9 papers), Ubiquitin and proteasome pathways (3 papers), Mass Spectrometry Techniques and Applications (3 papers), RNA and protein synthesis mechanisms (3 papers), Inflammatory mediators and NSAID effects (2 papers), Animal Disease Management and Epidemiology (2 papers), Skin and Cellular Biology Research (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Virology (146 citations), Immunology (175 citations), Molecular Biology (512 citations), Cancer Research (86 citations) and Epidemiology (146 citations). Ming‐Yi Ho has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include John Yu, Chein‐Hung Chen, Alice L. Yu, Che-Sheng Chung, Cheng‐Yen Huang, Wen Chang, Jung‐Tung Hung, Shu‐Mei Liang, Chi‐Ming Liang and Shye‐Jye Tang. Their work appears in journals such as International Journal of Cancer, Journal of Inorganic Biochemistry, Oncotarget, Cancer Letters and BioMed Research International.

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.

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