Masashi Uema

775 citations
42 papers · 622 · h-index 12

Impact in

  • Virology top 5%
  • Epidemiology top 10%
    • Herpesvirus Infections and Treatments
    • Cytomegalovirus and herpesvirus research
    • Virology and Viral Diseases

Papers in

    • Viral gastroenteritis research and epidemiology 14
    • Virology and Viral Diseases 8
    • Herpesvirus Infections and Treatments 6

Masashi Uema

39 papers receiving 613 citations

Peers

Masashi Uema
Comparison fields: 5 of 67
  • Virology 86
  • Epidemiology 405
  • Infectious Diseases 129
  • Genetics 187
  • Immunology 141
Replace D. Boulanger with:
D. Boulanger Belgium
Fumitaka Momose Japan
P A Hoyne Australia
Rebecca L Ambrose Australia
J R Broderson United States
Patrizia Bandecchi Italy
Susie Muir United States
Anna Helander Sweden
Christian Savard Canada
T. Kohama Japan
Masashi Uema relative to D. Boulanger Belgium D. Boulanger's profile →
Citations per field
00.5×3.3×
D. Boulanger · 1×
Citations per year

Countries citing papers authored by Masashi Uema

Since Specialization
Citations

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

Fields of papers citing papers by Masashi Uema

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Masashi Uema. 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 Masashi Uema. The network helps show where Masashi Uema may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008122
2 200975
3 200949
4 200949
5 200937
6 200431
7 200429
8 199923
9 201722
10 201519
11 200114
12 201714
13 201411
14 201311
15 201711
16 202011
17 20188
18 20238
19 20228
20 20048

About Masashi Uema

Masashi Uema is a scholar working on Infectious Diseases, Epidemiology, Food Science, Genetics and Small Animals, having authored 42 papers that have together received 622 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (14 papers), Salmonella and Campylobacter epidemiology (10 papers), Virology and Viral Diseases (8 papers), Virus-based gene therapy research (7 papers), Veterinary medicine and infectious diseases (6 papers), Herpesvirus Infections and Treatments (6 papers), Animal Virus Infections Studies (4 papers) and Listeria monocytogenes in Food Safety (4 papers). The work is most often cited by research in Virology (86 citations), Epidemiology (405 citations), Infectious Diseases (129 citations), Genetics (187 citations) and Immunology (141 citations). Masashi Uema has collaborated with scholars based in Japan, Cambodia and Taiwan. Frequent co-authors include Yasushi Kawaguchi, Hiroshi Sagara, Michiko Tanaka, Tetsutaro Sata, Yasuhiro Hashimoto, Chieko Kai, Hiroomi Akashi, Tomomi Morimoto, Jun Arii and Mamoru Noda. Their work appears in journals such as Journal of Virology, Foodborne Pathogens and Disease, Food Hygiene and Safety Science (Shokuhin Eiseigaku Zasshi), Veterinary Microbiology and Virus Research.

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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