Yi‐Mo Deng

5.6k citations
90 papers · 3.3k · h-index 31

Impact in

Papers in

    • Influenza Virus Research Studies 58
    • Respiratory viral infections research 32
    • Viral gastroenteritis research and epidemiology 8
    • Viral Infections and Vectors 7

Yi‐Mo Deng

88 papers receiving 3.2k citations

Peers

Yi‐Mo Deng
Comparison fields: 5 of 129
  • Epidemiology 1.9k
  • Agronomy and Crop Science 431
  • Infectious Diseases 670
  • Immunology 593
  • Molecular Medicine 134
Replace Kirsty R. Short with:
Kirsty R. Short Australia
Min‐Chul Kim South Korea
Lunbiao Cui China
Anding Zhang China
Peng Cui China
Yuying Liang United States
Takeshi Ichinohe Japan
Lester M. Shulman Israel
Do Quang Ha Vietnam
Boris Tefsen Netherlands
Yi‐Mo Deng relative to Kirsty R. Short Australia Kirsty R. Short's profile →
Citations per field
00.5×1.5×2.5×
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 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009260
2 2014222
3 2000172
4 2012158
5 2019150
6 2005129
7 2010110
8 2006105
9 2009103
10 2000101
11 200498
12 201194
13
Mouse mammary tumor virus-like gene sequences in breast tumors of Australian and Vietnamese women.
200393
14 201082
15 201780
16 201072
17 201063
18 200960
19 201155
20 201648

About Yi‐Mo Deng

Yi‐Mo Deng is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Agronomy and Crop Science and Immunology, having authored 90 papers that have together received 3.3k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (58 papers), Respiratory viral infections research (32 papers), Animal Disease Management and Epidemiology (12 papers), Viral gastroenteritis research and epidemiology (8 papers), Viral Infections and Vectors (7 papers), Immune Response and Inflammation (6 papers), COVID-19 epidemiological studies (5 papers) and Bacterial Genetics and Biotechnology (4 papers). The work is most often cited by research in Epidemiology (1.9k citations), Agronomy and Crop Science (431 citations), Infectious Diseases (670 citations), Immunology (593 citations) and Molecular Medicine (134 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, Christopher J. McIver and Natalie Caldwell. Their work appears in journals such as Eurosurveillance, Emerging infectious diseases, Journal of Virology, Influenza and Other Respiratory Viruses and Journal of Clinical Virology.

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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