Akio Nomoto

13.8k citations
176 papers · 10.6k indexed · 3 hit papers · h-index 56

Impact in

Papers in

Akio Nomoto

174 papers receiving 10.1k citations

Hit Papers

Internal ribosome entry site within hepatitis C virus RNA 1992 · 777 citations
7771977202619932009250500750

Peers

Akio Nomoto
Comparison fields: 5 of 128
  • Cardiology and Cardiovascular Medicine 4.8k
  • Infectious Diseases 3.2k
  • Hepatology 1.2k
  • Animal Science and Zoology 953
  • Molecular Biology 4.8k
Replace Karla Kirkegaard with:
Karla Kirkegaard United States
Peter Sarnow United States
Christopher U.T. Hellen United States
David J. Rowlands United Kingdom
Vincent R. Racaniello United States
Marc S. Collett United States
Charles E. Samuel United States
Bert L. Semler United States
Kurt Bienz Switzerland
Denise Egger Switzerland
Akio Nomoto relative to Karla Kirkegaard United States Karla Kirkegaard's profile →
Citations per field
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Karla Kirkegaard · 1×
Citations per year

Countries citing papers authored by Akio Nomoto

Since Specialization
Citations

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

Fields of papers citing papers by Akio Nomoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201515
2 20152
3 20148
4 201214
5 20031
6 200212
7
20010
8 200012
9 199890
10 1997110
11 199748
12 199787
13 199593
14 199516
15 199415
16 199233
17 199179
18 19899
19 198729
20 197739

About Akio Nomoto

Akio Nomoto is a scholar working on Cardiology and Cardiovascular Medicine, Infectious Diseases, Hepatology, Animal Science and Zoology and Toxicology, having authored 176 papers that have together received 10.6k indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (97 papers), Viral gastroenteritis research and epidemiology (62 papers), Plant Virus Research Studies (29 papers), RNA and protein synthesis mechanisms (21 papers), Animal Virus Infections Studies (20 papers), Virus-based gene therapy research (19 papers), RNA Research and Splicing (18 papers) and Viral Infectious Diseases and Gene Expression in Insects (16 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (4.8k citations), Infectious Diseases (3.2k citations), Hepatology (1.2k citations), Animal Science and Zoology (953 citations) and Molecular Biology (4.8k citations). Akio Nomoto has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Eckard Wimmer, Michinori Kohara, Narushi Iizuka, Shusuke Kuge, Kyoko Tsukiyama–Kohara, Seii Ohka, B M Detjen, Satoshi Koike, Nobumasa Imura and Haruka Toyoda. Their work appears in journals such as Journal of Virology, Virology, Journal of General Virology, The Journal of Antibiotics and Proceedings of the National Academy of Sciences.

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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