Yi‐Mo Deng

5.5k citations
88 papers · 3.1k · h-index 29

Impact in

Papers in

    • Influenza Virus Research Studies 58
    • Respiratory viral infections research 42
    • Viral gastroenteritis research and epidemiology 13
    • Viral Infections and Vectors 8

Yi‐Mo Deng

85 papers receiving 3.0k citations

Peers

Yi‐Mo Deng
Comparison fields: 5 of 132
  • Epidemiology 2.0k
  • Agronomy and Crop Science 490
  • Infectious Diseases 743
  • Immunology 635
  • Molecular Medicine 145
Replace Kirsty R. Short with:
Kirsty R. Short Australia
Min‐Chul Kim South Korea
Ying Wu China
Peng Cui China
Hassan Zaraket Lebanon
Anding Zhang China
Do Quang Ha Vietnam
Lester M. Shulman Israel
Olav Hungnes Norway
Takeshi Ichinohe Japan
Yi‐Mo Deng relative to Kirsty R. Short Australia Kirsty R. Short's profile →
Citations per field
00.5×2.7×
Kirsty R. Short · 1×
Citations per year

Countries citing papers authored by Yi‐Mo Deng

Since Specialization
Citations

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

Fields of papers citing papers by Yi‐Mo Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yi‐Mo Deng. 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 Yi‐Mo Deng. The network helps show where Yi‐Mo Deng may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009258
2 2014215
3 2000167
4 2012152
5 2019141
6 2005122
7 2010108
8 2000101
9 200999
10 200697
11 200497
12
Mouse mammary tumor virus-like gene sequences in breast tumors of Australian and Vietnamese women.
200389
13 201187
14 201779
15 201078
16 201070
17 201063
18 200958
19 201154
20 201345

About Yi‐Mo Deng

Yi‐Mo Deng is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Agronomy and Crop Science and Genetics, having authored 88 papers that have together received 3.1k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (58 papers), Respiratory viral infections research (42 papers), Animal Disease Management and Epidemiology (17 papers), Viral gastroenteritis research and epidemiology (13 papers), Viral Infections and Vectors (8 papers), Immune Response and Inflammation (6 papers), COVID-19 epidemiological studies (6 papers) and RNA and protein synthesis mechanisms (5 papers). The work is most often cited by research in Epidemiology (2.0k citations), Agronomy and Crop Science (490 citations), Infectious Diseases (743 citations), Immunology (635 citations) and Molecular Medicine (145 citations). Yi‐Mo Deng has collaborated with scholars based in Australia, United States and Singapore. Frequent co-authors include Ian Barr, Patrick C. Reading, Michelle D. Tate, William D. Rawlinson, Andrëw G. Brööks, Aeron C. Hurt, Sebastian Maurer‐Stroh, Emma R. Job, Jessica Jones and Gary P. Anderson. Their work appears in journals such as Eurosurveillance, Emerging infectious diseases, Influenza and Other Respiratory Viruses, Journal of Virology and The Journal of Immunology.

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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