Shinya Omoto

2.5k total citations · 1 hit paper
33 papers, 1.9k citations indexed

About

Shinya Omoto is a scholar working on Molecular Biology, Epidemiology and Immunology. According to data from OpenAlex, Shinya Omoto has authored 33 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 13 papers in Epidemiology and 10 papers in Immunology. Recurrent topics in Shinya Omoto's work include Influenza Virus Research Studies (9 papers), SARS-CoV-2 and COVID-19 Research (8 papers) and Respiratory viral infections research (6 papers). Shinya Omoto is often cited by papers focused on Influenza Virus Research Studies (9 papers), SARS-CoV-2 and COVID-19 Research (8 papers) and Respiratory viral infections research (6 papers). Shinya Omoto collaborates with scholars based in Japan, United States and Australia. Shinya Omoto's co-authors include Yoichi Robertus Fujii, Edward S. Mocarski, Takao Shishido, Takeki Uehara, Takashi Hashimoto, Hongyan Guo, William J. Kaiser, Akira Naito, Takeshi Noshi and Makoto Kawai and has published in prestigious journals such as Journal of Biological Chemistry, Clinical Infectious Diseases and Journal of Power Sources.

In The Last Decade

Shinya Omoto

33 papers receiving 1.8k citations

Hit Papers

Characterization of influenza virus variants induced by t... 2018 2026 2020 2023 2018 100 200 300

Peers

Shinya Omoto
Comparison fields: 5 of 92
  • Epidemiology 959
  • Molecular Biology 821
  • Immunology 459
  • Infectious Diseases 390
  • Cancer Research 264
Replace C. T. Ranjith-Kumar with:
C. T. Ranjith-Kumar United States
Shin Sasaki Japan
Judith M. Gottwein Denmark
Olivier Terrier France
Rienk E. Jeeninga Netherlands
Wade Blair United States
Sebla B. Kutluay United States
Naina Barretto United States
Anupam Mukherjee India
John E. Tavis United States
C. T. Ranjith-Kumar United States View profile →
Citations per field, relative to Shinya Omoto
Shinya Omoto · 1×
Citations per year, relative to Shinya Omoto
Shinya Omoto · 1×

Countries citing papers authored by Shinya Omoto

Since Specialization
Citations

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

Fields of papers citing papers by Shinya Omoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shinya Omoto

This figure shows the co-authorship network connecting the top 25 collaborators of Shinya Omoto. A scholar is included among the top collaborators of Shinya Omoto 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 Shinya Omoto. Shinya Omoto 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
# Work Indexed citations
1 2
2 4
3 1
4 6
5 7
6 12
7 11
8 11
9 2
10 53
11 29
12 24
13
Characterization of influenza virus variants induced by treatment with the endonuclease inhibitor baloxavir marboxil breakdown →
312
14 267
15 207
16 117
17 33
18 7
19 12
20 5

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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