Masae Itoh

919 citations
34 papers · 817 · h-index 17

Impact in

Papers in

    • Virology and Viral Diseases 16
    • Respiratory viral infections research 12
    • Influenza Virus Research Studies 5
    • Viral Infections and Vectors 7
    • Parvovirus B19 Infection Studies 4

Masae Itoh

34 papers receiving 796 citations

Peers

Masae Itoh
Comparison fields: 5 of 59
  • Infectious Diseases 302
  • Epidemiology 491
  • Hepatology 88
  • Immunology 230
  • Animal Science and Zoology 100
Replace Martin Pelchat with:
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Tadasuke Naito Japan
Jillian M. Rojek United States
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Jimena Pérez‐Vargas France
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Masae Itoh relative to Martin Pelchat Canada Martin Pelchat's profile →
Citations per field
00.5×1.7×
Martin Pelchat · 1×
Citations per year

Countries citing papers authored by Masae Itoh

Since Specialization
Citations

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

Fields of papers citing papers by Masae Itoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199679
2 199776
3 200173
4 199850
5 199850
6 201349
7 200848
8 201344
9 200638
10 201132
11 199731
12 201830
13 201228
14 200225
15 200924
16 201721
17 199519
18 201015
19 201014
20 199013

About Masae Itoh

Masae Itoh is a scholar working on Epidemiology, Infectious Diseases, Cardiology and Cardiovascular Medicine, Immunology and Animal Science and Zoology, having authored 34 papers that have together received 817 indexed citations. Recurring topics across this work include Virology and Viral Diseases (16 papers), Respiratory viral infections research (12 papers), Viral Infections and Immunology Research (8 papers), Viral Infections and Vectors (7 papers), interferon and immune responses (6 papers), Animal Virus Infections Studies (6 papers), Influenza Virus Research Studies (5 papers) and Parvovirus B19 Infection Studies (4 papers). The work is most often cited by research in Infectious Diseases (302 citations), Epidemiology (491 citations), Hepatology (88 citations), Immunology (230 citations) and Animal Science and Zoology (100 citations). Masae Itoh has collaborated with scholars based in Japan, Switzerland and Germany. Frequent co-authors include Daniel Kolakofsky, Hak Hotta, Dominique Garcin, Yoshinori Kitagawa, Bin Gotoh, Joseph Curran, Morio Homma, Tsunenori Fujita, Min Zhou and Machiko Nishio. Their work appears in journals such as Journal of Virology, Virology, FEBS Letters, Biochemical and Biophysical Research Communications and Journal of General 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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