Yasuo Ina

1.2k citations
21 papers · 974 indexed · h-index 15
Topics
Genomics and Phylogenetic Studies (5 papers)RNA and protein synthesis mechanisms (5 papers)Machine Learning in Bioinformatics (4 papers)
Partner nations
JapanUnited States

In The Last Decade

Yasuo Ina

21 papers receiving 950 citations

Peers

Yasuo Ina
Comparison fields: 5 of 84
  • Molecular Biology 309
  • Immunology 238
  • Epidemiology 198
  • Hepatology 197
  • Genetics 160
Replace Edward B. Klem with:
Edward B. Klem United States
Martina Kopp Norway
Gavin S. Wilkie United Kingdom
Lasse Vinner Denmark
John E. Newbold United States
Sandra Blaise‐Boisseau France
Deirdre A. Joy United States
Wessel van der Loo Belgium
Martin Pelchat Canada
Cynthia K. Y. Ho Netherlands
Yasuo Ina relative to Edward B. Klem United States Edward B. Klem's profile →
Citations per field
00.5×3.9×
Edward B. Klem · 1×
Citations per year

Countries citing papers authored by Yasuo Ina

Since Specialization
Citations

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

Fields of papers citing papers by Yasuo Ina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasuo Ina

This figure shows the co-authorship network connecting the top 25 collaborators of Yasuo Ina. A scholar is included among the top collaborators of Yasuo Ina 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 Yasuo Ina. Yasuo Ina 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 3
2 4
3 30
4 135
5 12
6 23
7 150
8 43
9 31
10 31
11 71
12 16
13 144
14
Estimation of the numbers of synonymous and nonsynonymous substitutions with special reference to viral evolution
3
15 5
16 41
17 21
18 129
19 35
20 46

About Yasuo Ina

Yasuo Ina is a scholar working on Hepatology, Virology and Agronomy and Crop Science, having authored 21 papers that have together received 974 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), RNA and protein synthesis mechanisms (5 papers) and Machine Learning in Bioinformatics (4 papers). The work is most often cited by research in Hepatology (197 citations), Virology (68 citations) and Immunology (238 citations). Yasuo Ina has collaborated with scholars based in Japan and United States. Frequent co-authors include Takashi Gojobori, Ken‐ichi Ohba, Tomoko Ohta, Masashi Mizokami, Masaru Niki, Kazuyuki Ohbo, Takeshi Hayashibara, T. Sugiyama, Hideki Tozawa and M. Omori. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular and Cellular Biology and Molecular Biology and Evolution.

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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