Ming‐Hon Hou

2.8k citations
70 papers · 2.0k indexed · 1 hit paper · h-index 25

Impact in

Papers in

Ming‐Hon Hou

70 papers receiving 2.0k citations

Hit Papers

The SARS coronavirus nucleocapsid protein – Forms and functions 2014 · 339 citations
3392014202620182022100200300

Peers

Ming‐Hon Hou
Comparison fields: 5 of 113
  • Infectious Diseases 765
  • Animal Science and Zoology 234
  • Molecular Biology 1.1k
  • Computational Theory and Mathematics 166
  • Toxicology 31
Replace Marie-Pierre Egloff with:
Marie-Pierre Egloff France
Manoj S. Nair United States
Radim Nencka Czechia
Qingjun Ma China
Hai Pang China
Paola Storici Italy
Scott D. Pegan United States
Jeffrey C. Dyason Australia
Torsten Unge Sweden
Meehyein Kim South Korea
Ming‐Hon Hou relative to Marie-Pierre Egloff France Marie-Pierre Egloff's profile →
Citations per field
00.5×1.5×2.3×
Marie-Pierre Egloff · 1×
Citations per year

Countries citing papers authored by Ming‐Hon Hou

Since Specialization
Citations

This map shows the geographic impact of Ming‐Hon Hou'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‐Hon Hou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Hon Hou more than expected).

Fields of papers citing papers by Ming‐Hon Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Hon Hou. 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‐Hon Hou. The network helps show where Ming‐Hon Hou may publish in the future.

Co-authors

The 25 scholars most cited alongside Ming‐Hon Hou, 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‐Hon Hou Line = papers co-authored together Ming‐Hon Hou links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The SARS coronavirus nucleocapsid protein – Forms and functions
Hit paper breakdown →
2014339
2 2012173
3 2014113
4 202090
5 201581
6 200177
7 201272
8 200466
9 201359
10 200256
11 200548
12 201544
13 201343
14 201237
15 201429
16 202128
17 201728
18 202026
19 201626
20 201726

About Ming‐Hon Hou

Ming‐Hon Hou is a scholar working on Infectious Diseases, Animal Science and Zoology, Molecular Biology, Toxicology and Organic Chemistry, having authored 70 papers that have together received 2.0k indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (26 papers), RNA and protein synthesis mechanisms (19 papers), SARS-CoV-2 and COVID-19 Research (13 papers), Viral gastroenteritis research and epidemiology (12 papers), Animal Virus Infections Studies (8 papers), Advanced biosensing and bioanalysis techniques (7 papers), Viral Infections and Immunology Research (6 papers) and DNA Repair Mechanisms (6 papers). The work is most often cited by research in Infectious Diseases (765 citations), Animal Science and Zoology (234 citations), Molecular Biology (1.1k citations), Computational Theory and Mathematics (166 citations) and Toxicology (31 citations). Ming‐Hon Hou has collaborated with scholars based in Taiwan, United Kingdom and United States. Frequent co-authors include Chung‐ke Chang, Yu‐Ming Chang, Tai-huang Huang, Chi‐Fon Chang, Chwan‐Deng Hsiao, Cammy K.-M. Chen, Yu-Sheng Lo, Stanley Perlman, Jincun Zhao and Jeu‐Ming P. Yuann. Their work appears in journals such as Nucleic Acids Research, Journal of Medicinal Chemistry, Biochemistry, International Journal of Molecular Sciences and PLoS ONE.

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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