Morihiro Ito

2.1k citations
95 papers · 1.6k · h-index 24

Impact in

    • Viral Infections and Vectors
    • Virology and Viral Diseases
    • Respiratory viral infections research
    • Influenza Virus Research Studies

Papers in

    • Virology and Viral Diseases 31
    • Respiratory viral infections research 30
    • Influenza Virus Research Studies 8
    • Viral Infections and Vectors 21

Morihiro Ito

92 papers receiving 1.6k citations

Peers

Morihiro Ito
Comparison fields: 5 of 111
  • Infectious Diseases 446
  • Epidemiology 761
  • Virology 84
  • General Dentistry 23
  • Immunology 260
Replace Koichiro Maeno with:
Koichiro Maeno Japan
Tsutomu Takegami Japan
Alfred Μ. Legendre United States
Daniel L. Popkin United States
Nahid Ali India
Minnie M. Mathan India
Guifang Cai United States
Francesca Caccuri Italy
Takuya Mizuno Japan
Xuchu Que United States
Morihiro Ito relative to Koichiro Maeno Japan Koichiro Maeno's profile →
Citations per field
00.5×1.5×2.3×
Koichiro Maeno · 1×
Citations per year

Countries citing papers authored by Morihiro Ito

Since Specialization
Citations

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

Fields of papers citing papers by Morihiro Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200976
2 200173
3 200172
4 201066
5 200565
6 199864
7 200155
8 200854
9 200044
10 199743
11 200542
12 199741
13 200840
14 200238
15 199837
16 199936
17 199636
18 200034
19 200130
20 199730

About Morihiro Ito

Morihiro Ito is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Oncology and Immunology, having authored 95 papers that have together received 1.6k indexed citations. Recurring topics across this work include Virology and Viral Diseases (31 papers), Respiratory viral infections research (30 papers), Viral Infections and Vectors (21 papers), Bone health and treatments (10 papers), Bone Metabolism and Diseases (9 papers), Influenza Virus Research Studies (8 papers), Virus-based gene therapy research (7 papers) and Bone Tissue Engineering Materials (6 papers). The work is most often cited by research in Infectious Diseases (446 citations), Epidemiology (761 citations), Virology (84 citations), General Dentistry (23 citations) and Immunology (260 citations). Morihiro Ito has collaborated with scholars based in Japan, Thailand and Switzerland. Frequent co-authors include Masato Tsurudome, Machiko Nishio, Yasuhiko Ito, Hiroshi Komada, Mitsuo Kawano, Atsumasa Uchida, Shigeru Kusagawa, Noriki Miyamoto, Yasuhiko Ito and Akihiro Sudo. Their work appears in journals such as Journal of Virology, Medical Microbiology and Immunology, Journal of General Virology, Virology and Drug Discoveries & Therapeutics.

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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