Masae Itoh

815 citations
30 papers · 701 · h-index 16

Impact in

Papers in

    • Virology and Viral Diseases 15
    • Respiratory viral infections research 12
    • Viral Infections and Vectors 7
    • Parvovirus B19 Infection Studies 4

Masae Itoh

30 papers receiving 692 citations

Peers

Masae Itoh
Comparison fields: 5 of 56
  • Infectious Diseases 300
  • Epidemiology 438
  • Immunology 224
  • Animal Science and Zoology 94
  • Virology 22
Replace Naoko Miyajima with:
Naoko Miyajima Japan
Timo Frensing Germany
Judith Verhelst Belgium
Jillian M. Rojek United States
Xiǎolì Chī United States
Alissa M. Pham United States
Christopher T. Cornell United States
Hyung Suk Oh United States
Sonja Schmid United States
Antje Reuter Germany
Masae Itoh relative to Naoko Miyajima Japan Naoko Miyajima's profile →
Citations per field
00.5×5.8×
Naoko Miyajima · 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 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199774
2 200171
3 199850
4 199849
5 201348
6 200845
7 201343
8 200635
9 201132
10 201829
11 201227
12 199727
13 200225
14 200924
15 201720
16 199518
17 201014
18 201013
19 199012
20 20129

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 30 papers that have together received 701 indexed citations. Recurring topics across this work include Virology and Viral Diseases (15 papers), Respiratory viral infections research (12 papers), Viral Infections and Immunology Research (8 papers), Viral Infections and Vectors (7 papers), interferon and immune responses (5 papers), Animal Virus Infections Studies (5 papers), Parvovirus B19 Infection Studies (4 papers) and Virus-based gene therapy research (4 papers). The work is most often cited by research in Infectious Diseases (300 citations), Epidemiology (438 citations), Immunology (224 citations), Animal Science and Zoology (94 citations) and Virology (22 citations). Masae Itoh has collaborated with scholars based in Japan, Switzerland and Germany. Frequent co-authors include Daniel Kolakofsky, Dominique Garcin, Yoshinori Kitagawa, Bin Gotoh, Hak Hotta, Joseph Curran, Morio Homma, Min Zhou, Machiko Nishio and Patrizia Latorre. Their work appears in journals such as Journal of Virology, FEBS Letters, Virology, Microbes and Infection 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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