Yasuo Ina

25 total papers · 1.2k total citations
21 papers, 974 citations indexed

About

Yasuo Ina is a scholar working on Molecular Biology, Agronomy and Crop Science and Genetics. According to data from OpenAlex, Yasuo Ina has authored 21 papers receiving a total of 974 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Agronomy and Crop Science and 4 papers in Genetics. Recurrent topics in Yasuo Ina's work include RNA and protein synthesis mechanisms (5 papers), Genomics and Phylogenetic Studies (5 papers) and Machine Learning in Bioinformatics (4 papers). Yasuo Ina is often cited by papers focused on RNA and protein synthesis mechanisms (5 papers), Genomics and Phylogenetic Studies (5 papers) and Machine Learning in Bioinformatics (4 papers). Yasuo Ina collaborates with scholars based in Japan and United States. Yasuo Ina's co-authors include Takashi Gojobori, Ken‐ichi Ohba, Tomoko Ohta, Masashi Mizokami, M. Omori, Kiyoshi Ohtani, Hideki Tozawa, Hironobu Fukami, Takeshi Hayashibara and Kazuyuki Ohbo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Molecular and Cellular Biology and Molecular Biology and Evolution.

In The Last Decade

Yasuo Ina

21 papers receiving 950 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Yasuo Ina	309	238	198	197	160	21	974
Joe Parker	333 1.1×	60 0.3×	235 1.2×	142 0.7×	262 1.6×	18	1.2k
Rebecca Gray	189 0.6×	98 0.4×	265 1.3×	130 0.7×	139 0.9×	29	947
T H Lee	323 1.0×	315 1.3×	190 1.0×	47 0.2×	116 0.7×	19	1.1k
Tobias J. Tuthill	362 1.2×	127 0.5×	250 1.3×	61 0.3×	95 0.6×	42	1.2k
S. H. Madin	193 0.6×	250 1.1×	295 1.5×	31 0.2×	178 1.1×	37	1.2k
Vladimir A. Morozov	305 1.0×	225 0.9×	276 1.4×	107 0.5×	304 1.9×	23	1.1k
Gabriel Magno de Freitas Almeida	321 1.0×	350 1.5×	254 1.3×	53 0.3×	92 0.6×	48	1.1k
Martina Kopp	234 0.8×	197 0.8×	712 3.6×	241 1.2×	154 1.0×	32	1.1k
Suresh H. Basagoudanavar	317 1.0×	295 1.2×	275 1.4×	102 0.5×	46 0.3×	54	943
Francesca Di Giallonardo	344 1.1×	133 0.6×	189 1.0×	52 0.3×	172 1.1×	49	1.2k

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

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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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