Tomohiro Yasuda

1.4k total citations
8 papers, 78 citations indexed

About

Tomohiro Yasuda is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Tomohiro Yasuda has authored 8 papers receiving a total of 78 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Plant Science. Recurrent topics in Tomohiro Yasuda's work include Genomics and Phylogenetic Studies (5 papers), Genomic variations and chromosomal abnormalities (3 papers) and RNA and protein synthesis mechanisms (2 papers). Tomohiro Yasuda is often cited by papers focused on Genomics and Phylogenetic Studies (5 papers), Genomic variations and chromosomal abnormalities (3 papers) and RNA and protein synthesis mechanisms (2 papers). Tomohiro Yasuda collaborates with scholars based in Japan and United States. Tomohiro Yasuda's co-authors include Satoru Miyano, Masao Nagasaki, Shin Suzuki, Yuichi Shiraishi, Hiroaki Kitano, Shuichi Onami, Hideo Bannai, Makoto Hirata, Tetsuo Nishikawa and Syuzo Kaneko and has published in prestigious journals such as BMC Bioinformatics, BMC Genomics and Experimental Hematology and Oncology.

In The Last Decade

Tomohiro Yasuda

8 papers receiving 74 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tomohiro Yasuda Japan 4 39 23 14 10 10 8 78
Wolfgang Kopp Germany 6 131 3.4× 17 0.7× 11 0.8× 11 1.1× 7 0.7× 8 165
Chendi Wang China 4 54 1.4× 13 0.6× 13 0.9× 6 0.6× 7 0.7× 6 84
Zhuoxing Shi China 7 157 4.0× 11 0.5× 21 1.5× 8 0.8× 5 0.5× 22 186
Sam de Blank Netherlands 4 71 1.8× 6 0.3× 24 1.7× 2 0.2× 14 1.4× 5 96
Yuefan Huang United States 7 133 3.4× 11 0.5× 23 1.6× 6 0.6× 43 4.3× 12 191
Boris Muzellec France 5 55 1.4× 7 0.3× 8 0.6× 15 1.5× 2 0.2× 5 116
Stéphane Liva France 3 78 2.0× 41 1.8× 24 1.7× 4 0.4× 14 1.4× 5 105
Ewald van Dyk Netherlands 7 37 0.9× 31 1.3× 26 1.9× 25 2.5× 8 0.8× 10 104
Vincent Cabeli France 5 66 1.7× 7 0.3× 10 0.7× 15 1.5× 2 0.2× 7 131
Darren C. Ames United States 4 74 1.9× 52 2.3× 20 1.4× 6 0.6× 20 2.0× 4 147

Countries citing papers authored by Tomohiro Yasuda

Since Specialization
Citations

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

Fields of papers citing papers by Tomohiro Yasuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomohiro Yasuda

This figure shows the co-authorship network connecting the top 25 collaborators of Tomohiro Yasuda. A scholar is included among the top collaborators of Tomohiro Yasuda 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 Tomohiro Yasuda. Tomohiro Yasuda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Hamamoto, Ryuji, Takafumi Koyama, Tomohiro Yasuda, et al.. (2022). Introducing AI to the molecular tumor board: one direction toward the establishment of precision medicine using large-scale cancer clinical and biological information. Experimental Hematology and Oncology. 11(1). 82–82. 21 indexed citations
2.
Yasuda, Tomohiro, et al.. (2021). TIME SERIES PREDICTION OF WAVE HEIGHT BY LONG SHORT-TERM MEMORY (LSTM) NEURAL NETWORK. Journal of Japan Society of Civil Engineers Ser B2 (Coastal Engineering). 77(2). I_151–I_156. 3 indexed citations
3.
Yasuda, Tomohiro & Satoru Miyano. (2015). Inferring the global structure of chromosomes from structural variations. BMC Genomics. 16(S2). S13–S13. 3 indexed citations
4.
Yasuda, Tomohiro, Shin Suzuki, Masao Nagasaki, & Satoru Miyano. (2012). ChopSticks: High-resolution analysis of homozygous deletions by exploiting concordant read pairs. BMC Bioinformatics. 13(1). 279–279. 3 indexed citations
5.
Suzuki, Shin, Tomohiro Yasuda, Yuichi Shiraishi, Satoru Miyano, & Masao Nagasaki. (2011). ClipCrop: a tool for detecting structural variations with single-base resolution using soft-clipping information. BMC Bioinformatics. 12(S14). S7–S7. 32 indexed citations
6.
Nishikawa, Tetsuo, Kouichi Kimura, Tomohiro Yasuda, et al.. (2003). Characterization of One-Pass and Full-Length Sequences of Oligo-Capping cDNA Clones by Genome Mapping. Proceedings Genome Informatics Workshop/Genome informatics. 14. 458–459. 1 indexed citations
7.
Yasuda, Tomohiro & Tetsuo Nishikawa. (2002). A Fast Clustering System for a Huge Number of Nucleotide Sequences. Proceedings Genome Informatics Workshop/Genome informatics. 13. 388–389. 1 indexed citations
8.
Yasuda, Tomohiro, Hideo Bannai, Shuichi Onami, Satoru Miyano, & Hiroaki Kitano. (1999). Towards Automatic Construction of Cell-Lineage of C. elegans from Nomarski DIC Microscope Images.. PubMed. 10. 144–154. 14 indexed citations

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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