Manabu Igarashi

3.4k citations
92 papers · 2.3k indexed · h-index 26
Topics
Viral Infections and Vectors (33 papers)Viral Infections and Outbreaks Research (28 papers)Influenza Virus Research Studies (22 papers)
Partner nations
JapanZambiaUnited States

In The Last Decade

Manabu Igarashi

89 papers receiving 2.3k citations

Peers

Manabu Igarashi
Comparison fields: 5 of 118
  • Infectious Diseases 1.0k
  • Epidemiology 995
  • Molecular Biology 396
  • Plant Science 276
  • Agronomy and Crop Science 258
Replace Justin G. Julander with:
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Manabu Igarashi relative to Justin G. Julander United States Justin G. Julander's profile →
Citations per field
00.5×3.9×
Justin G. Julander · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 5
3 6
4 41
5 5
6 17
7 16
8 26
9 20
10 23
11 12
12 16
13 4
14 25
15
The closest-neighbor trimming method : A resampling algorithm for nucleotide sequence datasets
1
16 106
17 10
18
Prediction of N-glycosylation potential of influenza virus hemagglutinin by a bioinformatic approach
2
19 3
20 11

About Manabu Igarashi

Manabu Igarashi is a scholar working on Infectious Diseases, Agronomy and Crop Science and Epidemiology, having authored 92 papers that have together received 2.3k indexed citations. Recurring topics across this work include Viral Infections and Vectors (33 papers), Viral Infections and Outbreaks Research (28 papers) and Influenza Virus Research Studies (22 papers). The work is most often cited by research in Infectious Diseases (1.0k citations), Epidemiology (995 citations) and Agronomy and Crop Science (258 citations). Manabu Igarashi has collaborated with scholars based in Japan, Zambia and United States. Frequent co-authors include Ayato Takada, Hiroto Tachikawa, Kimihito Ito, Reiko Yoshida, Hiroshi Kida, Hiroko Miyamoto, Teruo Ishibashi, Noriko Kishida, Rashid Manzoor and Heinz Feldmann. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

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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