Kennosuke Wada

631 total citations
26 papers, 425 citations indexed

About

Kennosuke Wada is a scholar working on Molecular Biology, Plant Science and Infectious Diseases. According to data from OpenAlex, Kennosuke Wada has authored 26 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 7 papers in Plant Science and 5 papers in Infectious Diseases. Recurrent topics in Kennosuke Wada's work include Genomics and Phylogenetic Studies (16 papers), RNA and protein synthesis mechanisms (8 papers) and Chromosomal and Genetic Variations (6 papers). Kennosuke Wada is often cited by papers focused on Genomics and Phylogenetic Studies (16 papers), RNA and protein synthesis mechanisms (8 papers) and Chromosomal and Genetic Variations (6 papers). Kennosuke Wada collaborates with scholars based in Japan, United States and Taiwan. Kennosuke Wada's co-authors include Toshimichi Ikemura, Yoshiko Wada, Takashi Abe, Yuki Iwasaki, Shin‐ichi Aota, Ikuo Tooyama, Yasuhiro Wada, M. Furusawa, Masanari Kato and Akitsugu Yamamoto and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and PLoS ONE.

In The Last Decade

Kennosuke Wada

23 papers receiving 417 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kennosuke Wada Japan 10 266 90 77 75 61 26 425
James Tolchard France 10 120 0.5× 33 0.4× 35 0.5× 19 0.3× 44 0.7× 21 249
C. Peneff France 8 392 1.5× 74 0.8× 24 0.3× 19 0.3× 54 0.9× 9 523
Joel Osuna Mexico 15 416 1.6× 50 0.6× 21 0.3× 58 0.8× 102 1.7× 30 541
Robert Court United Kingdom 5 362 1.4× 46 0.5× 172 2.2× 27 0.4× 72 1.2× 5 476
John M. Molyneaux United States 8 350 1.3× 66 0.7× 36 0.5× 52 0.7× 169 2.8× 10 484
Stéphanie Ravaud France 16 522 2.0× 82 0.9× 37 0.5× 24 0.3× 81 1.3× 34 752
Mark Sylvester United States 9 172 0.6× 9 0.1× 76 1.0× 94 1.3× 61 1.0× 14 380
Kathleen I. Racher Canada 11 339 1.3× 21 0.2× 19 0.2× 28 0.4× 156 2.6× 13 454
Shreyas Kaptan Germany 10 247 0.9× 61 0.7× 12 0.2× 42 0.6× 69 1.1× 13 362
Cesira de Chiara United Kingdom 17 630 2.4× 41 0.5× 25 0.3× 16 0.2× 101 1.7× 29 761

Countries citing papers authored by Kennosuke Wada

Since Specialization
Citations

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

Fields of papers citing papers by Kennosuke Wada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kennosuke Wada

This figure shows the co-authorship network connecting the top 25 collaborators of Kennosuke Wada. A scholar is included among the top collaborators of Kennosuke Wada 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 Kennosuke Wada. Kennosuke Wada 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
1.
Tabata, Hiromasa, Toshimichi Ikemura, Kennosuke Wada, et al.. (2024). Unsupervised AI reveals insect species-specific genome signatures. PeerJ. 12. e17025–e17025.
3.
Ikemura, Toshimichi, Yuki Iwasaki, Kennosuke Wada, Yoshiko Wada, & Takashi Abe. (2022). AI-based search for convergently expanding, advantageous mutations in SARS-CoV-2 by focusing on oligonucleotide frequencies. PLoS ONE. 17(8). e0273860–e0273860.
4.
Iwasaki, Yuki, Toshimichi Ikemura, Kennosuke Wada, Yoshiko Wada, & Takashi Abe. (2022). Comparative genomic analysis of the human genome and six bat genomes using unsupervised machine learning: Mb-level CpG and TFBS islands. BMC Genomics. 23(1). 497–497. 4 indexed citations
5.
Iwasaki, Yuki, Takashi Abe, Kennosuke Wada, Yoshiko Wada, & Toshimichi Ikemura. (2022). Unsupervised explainable AI for molecular evolutionary study of forty thousand SARS-CoV-2 genomes. BMC Microbiology. 22(1). 73–73. 3 indexed citations
6.
Katsura, Y, Toshimichi Ikemura, Rei Kajitani, et al.. (2021). Comparative genomics of Glandirana rugosa using unsupervised AI reveals a high CG frequency. Life Science Alliance. 4(5). e202000905–e202000905. 9 indexed citations
7.
Ikemura, Toshimichi, Yuki Iwasaki, Kennosuke Wada, Yoshiko Wada, & Takashi Abe. (2021). AI for the collective analysis of a massive number of genome sequences: various examples from the small genome of pandemic SARS-CoV-2 to the human genome. Genes & Genetic Systems. 96(4). 165–176. 5 indexed citations
9.
Wada, Kennosuke, Yoshiko Wada, & Toshimichi Ikemura. (2020). Mb-level CpG and TFBS islands visualized by AI and their roles in the nuclear organization of the human genome. Genes & Genetic Systems. 95(1). 29–41. 7 indexed citations
10.
Abe, Takashi, et al.. (2019). Characterization of Genetic Signal Sequences with Batch-Learning SOM. PUB – Publications at Bielefeld University (Bielefeld University).
11.
Wada, Kennosuke, Yasuhiro Wada, Yuichi Iwasaki, & Toshimichi Ikemura. (2017). Time-series oligonucleotide count to assign antiviral siRNAs with long utility fit in the big data era. Gene Therapy. 24(10). 668–673. 4 indexed citations
12.
Wada, Yoshiko, Kennosuke Wada, Yuki Iwasaki, Shigehiko Kanaya, & Toshimichi Ikemura. (2016). Directional and reoccurring sequence change in zoonotic RNA virus genomes visualized by time-series word count. Scientific Reports. 6(1). 36197–36197. 12 indexed citations
13.
Iwasaki, Yuichi, Takashi Abe, Norihiro Okada, et al.. (2014). Evolutionary Changes in Vertebrate Genome Signatures with Special Focus on Coelacanth. DNA Research. 21(5). 459–467. 6 indexed citations
14.
Iwasaki, Yuki, Kennosuke Wada, Yoshiko Wada, Takashi Abe, & Toshimichi Ikemura. (2013). Notable clustering of transcription-factor-binding motifs in human pericentric regions and its biological significance. Chromosome Research. 21(5). 461–474. 16 indexed citations
15.
Iwasaki, Yuki, Takashi Abe, Yoshiko Wada, Kennosuke Wada, & Toshimichi Ikemura. (2013). Novel bioinformatics strategies for prediction of directional sequence changes in influenza virus genomes and for surveillance of potentially hazardous strains. BMC Infectious Diseases. 13(1). 386–386. 25 indexed citations
16.
Iwasaki, Yuichi, Takashi Abe, Kennosuke Wada, M Itoh, & Toshimichi Ikemura. (2011). Prediction of Directional Changes of Influenza A Virus Genome Sequences with Emphasis on Pandemic H1N1/09 as a Model Case. DNA Research. 18(2). 125–136. 13 indexed citations
17.
Yanagisawa, Daijiro, Nobuaki Shirai, Hiroyasu Taguchi, et al.. (2010). Relationship between the tautomeric structures of curcumin derivatives and their Aβ-binding activities in the context of therapies for Alzheimer's disease. Biomaterials. 31(14). 4179–4185. 131 indexed citations
18.
Abe, Takashi, Kennosuke Wada, Yuki Iwasaki, & Toshimichi Ikemura. (2009). Novel bioinformatics for inter- and intraspecies comparison of genome signatures in plant genomes. Plant Biotechnology. 26(5). 469–477. 6 indexed citations
20.
Ikemura, Toshimichi, Kennosuke Wada, & Shin‐ichi Aota. (1990). Giant G+C% mosaic structures of the human genome found by arrangement of GenBank human DNA sequences according to genetic positions. Genomics. 8(2). 207–216. 55 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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