Katsuhiko Mineta

3.3k total citations
62 papers, 2.3k citations indexed

About

Katsuhiko Mineta is a scholar working on Molecular Biology, Ecology and Plant Science. According to data from OpenAlex, Katsuhiko Mineta has authored 62 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 17 papers in Ecology and 10 papers in Plant Science. Recurrent topics in Katsuhiko Mineta's work include Microbial Community Ecology and Physiology (13 papers), Genomics and Phylogenetic Studies (8 papers) and Marine Ecology and Invasive Species (7 papers). Katsuhiko Mineta is often cited by papers focused on Microbial Community Ecology and Physiology (13 papers), Genomics and Phylogenetic Studies (8 papers) and Marine Ecology and Invasive Species (7 papers). Katsuhiko Mineta collaborates with scholars based in Saudi Arabia, Japan and United States. Katsuhiko Mineta's co-authors include Takashi Gojobori, Kiyokazu Agata, Kazuho Ikeo, Masumi Nakazawa, Francesc Cebrià, Hayedeh Behzad, Toshinori Endo, Kosei Takeuchi, Yuji Yamazaki and Sachiko Tsukita and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Katsuhiko Mineta

60 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katsuhiko Mineta Saudi Arabia 24 1.5k 556 412 405 228 62 2.3k
Vittorio Gremigni Italy 27 1.5k 1.0× 851 1.5× 248 0.6× 77 0.2× 225 1.0× 84 2.0k
Graham B. Wiley United States 26 926 0.6× 123 0.2× 684 1.7× 94 0.2× 189 0.8× 50 2.1k
Paolo Mariottini Italy 35 2.7k 1.8× 537 1.0× 431 1.0× 33 0.1× 456 2.0× 157 3.9k
Federico Caicci Italy 24 1.1k 0.8× 474 0.9× 53 0.1× 39 0.1× 211 0.9× 77 2.0k
Daniel G. Cyr Canada 49 2.1k 1.4× 516 0.9× 179 0.4× 326 0.8× 567 2.5× 155 6.3k
Runsheng Li China 29 1.4k 0.9× 196 0.4× 237 0.6× 44 0.1× 315 1.4× 114 3.1k
Peijun Zhang China 26 990 0.7× 192 0.3× 247 0.6× 41 0.1× 611 2.7× 144 2.7k
David Piquemal France 29 1.4k 0.9× 514 0.9× 123 0.3× 15 0.0× 225 1.0× 70 3.4k
Satoru Kobayashi Japan 40 4.4k 3.0× 452 0.8× 583 1.4× 47 0.1× 211 0.9× 142 6.1k
Stephan Schneider Germany 33 1.3k 0.9× 375 0.7× 514 1.2× 20 0.0× 170 0.7× 82 3.2k

Countries citing papers authored by Katsuhiko Mineta

Since Specialization
Citations

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

Fields of papers citing papers by Katsuhiko Mineta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katsuhiko Mineta

This figure shows the co-authorship network connecting the top 25 collaborators of Katsuhiko Mineta. A scholar is included among the top collaborators of Katsuhiko Mineta 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 Katsuhiko Mineta. Katsuhiko Mineta 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.
2.
Mineta, Katsuhiko, et al.. (2023). Computational network analysis of host genetic risk variants of severe COVID-19. Human Genomics. 17(1). 17–17. 5 indexed citations
3.
Nakagawa, So, Shoichi Sakaguchi, Atsushi Ogura, et al.. (2023). Current trends inRNAvirus detection through metatranscriptome sequencing data. FEBS Open Bio. 13(6). 992–1000. 5 indexed citations
4.
Abulfaraj, Aala A., Hajime Ohyanagi, Katsuhiko Mineta, et al.. (2022). Comprehensive evolutionary analysis and nomenclature of plant G3BPs. Life Science Alliance. 5(9). e202101328–e202101328. 2 indexed citations
5.
Nishikawa, Yohei, Masato Kogawa, Masahito Hosokawa, et al.. (2022). Validation of the application of gel beads-based single-cell genome sequencing platform to soil and seawater. SHILAP Revista de lepidopterología. 2(1). 92–92. 27 indexed citations
6.
Mineta, Katsuhiko, et al.. (2021). Evolution of memory system‐related genes. FEBS Open Bio. 11(12). 3201–3210. 4 indexed citations
7.
Mineta, Katsuhiko, et al.. (2021). Population structure of indigenous inhabitants of Arabia. PLoS Genetics. 17(1). e1009210–e1009210. 15 indexed citations
8.
Alsubaie, Lamia, Nagarajan Kathiresan, Katsuhiko Mineta, et al.. (2021). DeepSVP: integration of genotype and phenotype for structural variant prioritization using deep learning. Bioinformatics. 38(6). 1677–1684. 9 indexed citations
9.
Conchouso, David, Hayedeh Behzad, Mohammed Alarawi, et al.. (2021). Integration of Droplet Microfluidic Tools for Single-Cell Functional Metagenomics: An Engineering Head Start. Genomics Proteomics & Bioinformatics. 19(3). 504–518. 5 indexed citations
10.
Karwath, Andreas, Ashraf Dallol, Adeeb Noor, et al.. (2019). Ontology-based prediction of cancer driver genes. Scientific Reports. 9(1). 17405–17405. 18 indexed citations
11.
Behzad, Hayedeh, Katsuhiko Mineta, & Takashi Gojobori. (2018). Global Ramifications of Dust and Sandstorm Microbiota. Genome Biology and Evolution. 10(8). 1970–1987. 43 indexed citations
12.
Abdel‐Haleem, Alyaa M., Hooman Hefzi, Katsuhiko Mineta, et al.. (2018). Functional interrogation of Plasmodium genus metabolism identifies species- and stage-specific differences in nutrient essentiality and drug targeting. PLoS Computational Biology. 14(1). e1005895–e1005895. 26 indexed citations
13.
Lehmann, Robert, Damien J. Lightfoot, Celia Schunter, et al.. (2018). Finding Nemo’s Genes: A chromosome‐scale reference assembly of the genome of the orange clownfish Amphiprion percula. Molecular Ecology Resources. 19(3). 570–585. 38 indexed citations
14.
Kobiyama, Atsushi, Kazuho Ikeo, Md. Shaheed Reza, et al.. (2018). Metagenome-based diversity analyses suggest a strong locality signal for bacterial communities associated with oyster aquaculture farms in Ofunato Bay. Gene. 665. 149–154. 9 indexed citations
15.
Kobayashi, Masahiko, Chihiro Mori, Haruhito Horita, et al.. (2018). Vocal practice regulates singing activity–dependent genes underlying age-independent vocal learning in songbirds. PLoS Biology. 16(9). e2006537–e2006537. 21 indexed citations
16.
Gojobori, Takashi, et al.. (2015). Marine Metagenome as a Resource for Novel Enzymes. Genomics Proteomics & Bioinformatics. 13(5). 290–295. 36 indexed citations
17.
Chiba, Yukako, Katsuhiko Mineta, Masami Yokota Hirai, et al.. (2012). Changes in mRNA Stability Associated with Cold Stress in Arabidopsis Cells. Plant and Cell Physiology. 54(2). 180–194. 47 indexed citations
18.
Mineta, Katsuhiko, Yasuko Yamamoto, Yuji Yamazaki, et al.. (2011). Predicted expansion of the claudin multigene family. FEBS Letters. 585(4). 606–612. 434 indexed citations
19.
Kubo, Yuko, Chi Chiu Wang, Katsuhiko Mineta, et al.. (2008). Specific expression of Gsta4 in mouse cochlear melanocytes: a novel role for hearing and melanocyte differentiation. Pigment Cell & Melanoma Research. 22(1). 111–119. 23 indexed citations
20.
Satou, Yutaka, Katsuhiko Mineta, Michio Ogasawara, et al.. (2008). Improved genome assembly and evidence-based global gene model set for the chordate Ciona intestinalis: new insight into intron and operon populations. Genome biology. 9(10). R152–R152. 173 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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