Manabu Igarashi

3.4k total citations
92 papers, 2.3k citations indexed

About

Manabu Igarashi is a scholar working on Infectious Diseases, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Manabu Igarashi has authored 92 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Infectious Diseases, 37 papers in Epidemiology and 15 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Manabu Igarashi's work include Viral Infections and Vectors (33 papers), Viral Infections and Outbreaks Research (28 papers) and Influenza Virus Research Studies (22 papers). Manabu Igarashi is often cited by papers focused on Viral Infections and Vectors (33 papers), Viral Infections and Outbreaks Research (28 papers) and Influenza Virus Research Studies (22 papers). Manabu Igarashi collaborates with scholars based in Japan, Zambia and United States. Manabu Igarashi's co-authors include Ayato Takada, Hiroto Tachikawa, Kimihito Ito, Reiko Yoshida, Hiroshi Kida, Hiroko Miyamoto, Rashid Manzoor, Teruo Ishibashi, Noriko Kishida and Heinz Feldmann and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Manabu Igarashi

89 papers receiving 2.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Manabu Igarashi Japan 26 1.0k 995 396 276 258 92 2.3k
Fei Gao China 31 1.4k 1.4× 535 0.5× 903 2.3× 195 0.7× 265 1.0× 144 3.0k
José L. Nieva Spain 36 896 0.9× 683 0.7× 2.5k 6.3× 170 0.6× 213 0.8× 118 4.1k
Stéphane Bressanelli France 29 1.3k 1.3× 1.5k 1.5× 1.1k 2.8× 371 1.3× 85 0.3× 71 3.9k
Michael Veit Germany 38 1.0k 1.0× 1.4k 1.4× 2.2k 5.7× 152 0.6× 146 0.6× 128 4.3k
M.C. Vaney France 24 1.6k 1.6× 711 0.7× 802 2.0× 117 0.4× 60 0.2× 36 3.1k
Xuekui Yu United States 25 586 0.6× 594 0.6× 876 2.2× 157 0.6× 37 0.1× 36 2.1k
Dennis C. Winkler United States 22 471 0.5× 854 0.9× 875 2.2× 156 0.6× 31 0.1× 37 2.2k
François Ferrón France 31 2.3k 2.3× 523 0.5× 1.5k 3.9× 282 1.0× 39 0.2× 64 4.3k
Bruno Pichon United Kingdom 34 1.8k 1.7× 536 0.5× 1.3k 3.3× 93 0.3× 90 0.3× 112 3.8k

Countries citing papers authored by Manabu Igarashi

Since Specialization
Citations

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

Fields of papers citing papers by Manabu Igarashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manabu Igarashi

This figure shows the co-authorship network connecting the top 25 collaborators of Manabu Igarashi. A scholar is included among the top collaborators of Manabu Igarashi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Manabu Igarashi. Manabu Igarashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Saito, Takeshi, Hiroko Miyamoto, Akina Mori‐Kajihara, et al.. (2024). Characterization of human tibrovirus envelope glycoproteins. Journal of Virology. 98(7). e0049924–e0049924.
2.
Igarashi, Manabu, et al.. (2023). Targeting cap1 RNA methyltransferases as an antiviral strategy. Cell chemical biology. 31(1). 86–99. 5 indexed citations
3.
Saito, Takeshi, et al.. (2022). Single Nucleotide Variants of the Human TIM-1 IgV Domain with Reduced Ability to Promote Viral Entry into Cells. Viruses. 14(10). 2124–2124. 2 indexed citations
4.
5.
Igarashi, Manabu, et al.. (2021). Characteristics of Classical Swine Fever Virus Variants Derived from Live Attenuated GPE− Vaccine Seed. Viruses. 13(8). 1672–1672. 6 indexed citations
6.
7.
Kwon, Joon Yeong, Hangil Kim, Manabu Igarashi, et al.. (2020). Artificially Edited Alleles of the Eukaryotic Translation Initiation Factor 4E1 Gene Differentially Reduce Susceptibility to Cucumber Mosaic Virus and Potato Virus Y in Tomato. Frontiers in Microbiology. 11. 564310–564310. 41 indexed citations
8.
Tani, Hideki, Miyuki Kimura, Satoshi Taniguchi, et al.. (2019). Identification of the amino acid residue important for fusion of severe fever with thrombocytopenia syndrome virus glycoprotein. Virology. 535. 102–110. 17 indexed citations
9.
Letko, Michael, Vincent J. Munster, Rashid Manzoor, et al.. (2018). Single-Nucleotide Polymorphisms in Human NPC1 Influence Filovirus Entry Into Cells. The Journal of Infectious Diseases. 218(suppl_5). S397–S402. 16 indexed citations
10.
Fukuhara, Takasuke, Tomokazu Tamura, Chikako Ono, et al.. (2017). Host-derived apolipoproteins play comparable roles with viral secretory proteins Erns and NS1 in the infectious particle formation of Flaviviridae. PLoS Pathogens. 13(6). e1006475–e1006475. 21 indexed citations
11.
Furuyama, Wakako, Andrea Marzi, Aaron Carmody, et al.. (2016). Fcγ-receptor IIa-mediated Src Signaling Pathway Is Essential for the Antibody-Dependent Enhancement of Ebola Virus Infection. PLoS Pathogens. 12(12). e1006139–e1006139. 26 indexed citations
12.
Furuyama, Wakako, Andrea Marzi, Asuka Nanbo, et al.. (2016). Discovery of an antibody for pan-ebolavirus therapy. Scientific Reports. 6(1). 20514–20514. 70 indexed citations
13.
Maruyama, Junki, Naganori Nao, Hiroko Miyamoto, et al.. (2015). Characterization of the glycoproteins of bat-derived influenza viruses. Virology. 488. 43–50. 20 indexed citations
14.
Yoshii, Kentaro, Yuji Sunden, Manabu Igarashi, et al.. (2014). A Critical Determinant of Neurological Disease Associated with Highly Pathogenic Tick-Borne Flavivirus in Mice. Journal of Virology. 88(10). 5406–5420. 23 indexed citations
15.
Igarashi, Manabu, et al.. (2012). The closest-neighbor trimming method : A resampling algorithm for nucleotide sequence datasets. 112(108). 113–117. 1 indexed citations
16.
Nidom, Chairul A., Eri Nakayama, Yoes Prijatna Dachlan, et al.. (2012). Serological Evidence of Ebola Virus Infection in Indonesian Orangutans. PLoS ONE. 7(7). e40740–e40740. 35 indexed citations
17.
Hasebe, Rie, Tadaki Suzuki, Yoshinori Makino, et al.. (2010). Transcellular transport of West Nile virus-like particles across human endothelial cells depends on residues 156 and 159 of envelope protein. BMC Microbiology. 10(1). 165–165. 45 indexed citations
18.
Igarashi, Manabu, Kimihito Ito, & Ayato Takada. (2009). Prediction of N-glycosylation potential of influenza virus hemagglutinin by a bioinformatic approach. 13. 2 indexed citations
19.
Yoshida, Reiko, Manabu Igarashi, Hiroichi Ozaki, et al.. (2009). Cross-Protective Potential of a Novel Monoclonal Antibody Directed against Antigenic Site B of the Hemagglutinin of Influenza A Viruses. PLoS Pathogens. 5(3). e1000350–e1000350. 175 indexed citations
20.
Igarashi, Manabu, et al.. (2009). Predicting the Antigenic Structure of the Pandemic (H1N1) 2009 Influenza Virus Hemagglutinin. PLoS ONE. 5(1). e8553–e8553. 142 indexed citations

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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