Tetsuya Bando

1.5k total citations
53 papers, 1.0k citations indexed

About

Tetsuya Bando is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Tetsuya Bando has authored 53 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 12 papers in Cellular and Molecular Neuroscience and 10 papers in Cell Biology. Recurrent topics in Tetsuya Bando's work include Neurobiology and Insect Physiology Research (12 papers), Developmental Biology and Gene Regulation (9 papers) and Genetics, Aging, and Longevity in Model Organisms (8 papers). Tetsuya Bando is often cited by papers focused on Neurobiology and Insect Physiology Research (12 papers), Developmental Biology and Gene Regulation (9 papers) and Genetics, Aging, and Longevity in Model Organisms (8 papers). Tetsuya Bando collaborates with scholars based in Japan, United States and Singapore. Tetsuya Bando's co-authors include Hideyo Ohuchi, Sumihare Noji, Taro Mito, Taro Nakamura, Takahito Watanabe, Yoshiyasu Ishimaru, Kenji Tomioka, Yuji Matsuoka, Yoshimasa Hamada and Katsuyuki Miyawaki and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Tetsuya Bando

51 papers receiving 993 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tetsuya Bando Japan 18 595 290 229 218 120 53 1.0k
Korneel Hens Belgium 20 721 1.2× 271 0.9× 225 1.0× 215 1.0× 68 0.6× 40 1.1k
Pei-Tseng Lee United States 14 466 0.8× 584 2.0× 174 0.8× 103 0.5× 137 1.1× 16 1.1k
Taro Nakamura Japan 17 587 1.0× 234 0.8× 247 1.1× 233 1.1× 145 1.2× 32 907
Jan Provazník Germany 18 366 0.6× 285 1.0× 200 0.9× 181 0.8× 128 1.1× 35 941
Jay P. Uhler Sweden 18 1.1k 1.8× 507 1.7× 218 1.0× 58 0.3× 125 1.0× 23 1.6k
Matthieu Cavey France 10 422 0.7× 287 1.0× 82 0.4× 163 0.7× 67 0.6× 11 982
Xavier Franch‐Marro Spain 21 867 1.5× 432 1.5× 294 1.3× 174 0.8× 143 1.2× 33 1.3k
Tyler Ofstad United States 6 346 0.6× 414 1.4× 247 1.1× 57 0.3× 173 1.4× 6 910
Margit Foss United States 11 557 0.9× 575 2.0× 435 1.9× 96 0.4× 369 3.1× 14 1.2k
Andrew P. Vreede United States 10 316 0.5× 482 1.7× 266 1.2× 92 0.4× 151 1.3× 12 1.0k

Countries citing papers authored by Tetsuya Bando

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuya Bando

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsuya Bando

This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuya Bando. A scholar is included among the top collaborators of Tetsuya Bando 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 Tetsuya Bando. Tetsuya Bando 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.
Bando, Tetsuya, Yuki Bando, Yoshimasa Hamada, et al.. (2021). Toll signalling promotes blastema cell proliferation during cricket leg regeneration via insect macrophages. Development. 149(8). 12 indexed citations
3.
Ylla, Guillem, Taro Nakamura, Takehiko Itoh, et al.. (2021). Insights into the genomic evolution of insects from cricket genomes. Communications Biology. 4(1). 733–733. 58 indexed citations
4.
Yasue, Akihiro, Kenichi Suzuki, Hirofumi Fujita, et al.. (2020). Fgf10-CRISPR mosaic mutants demonstrate the gene dose-related loss of the accessory lobe and decrease in the number of alveolar type 2 epithelial cells in mouse lung. PLoS ONE. 15(10). e0240333–e0240333. 2 indexed citations
5.
Fujita, Hirofumi, Keita Sato, Tetsuya Bando, et al.. (2019). Dickkopf3 (Dkk3) is required for maintaining the integrity of secretory vesicles in the mouse adrenal medulla. Cell and Tissue Research. 379(1). 157–167. 3 indexed citations
6.
Ohuchi, Hideyo, et al.. (2018). Congenital eye anomalies: More mosaic than thought?. Congenital Anomalies. 59(3). 56–73. 14 indexed citations
7.
Bando, Tetsuya, Taro Mito, Yoshimasa Hamada, et al.. (2018). Molecular mechanisms of limb regeneration: insights from regenerating legs of the cricket Gryllus bimaculatus. The International Journal of Developmental Biology. 62(6-7-8). 559–569. 16 indexed citations
8.
Watanabe, Takayuki, et al.. (2018). A novel photic entrainment mechanism for the circadian clock in an insect: involvement of c-fos and cryptochromes. Zoological Letters. 4(1). 26–26. 19 indexed citations
9.
10.
Yasue, Akihiro, Tetsuya Bando, Keita Sato, et al.. (2017). Relationship between somatic mosaicism of Pax6 mutation and variable developmental eye abnormalities—an analysis of CRISPR genome-edited mouse embryos. Scientific Reports. 7(1). 53–53. 22 indexed citations
11.
Hamada, Yoshimasa, et al.. (2016). Enhancer of zeste plays an important role in photoperiodic modulation of locomotor rhythm in the cricket, Gryllus bimaculatus. Zoological Letters. 2(1). 5–5. 1 indexed citations
12.
Bando, Tetsuya, et al.. (2014). An extended steepness model for leg-size determination based on Dachsous/Fat trans-dimer system. Scientific Reports. 4(1). 4335–4335. 8 indexed citations
13.
Bando, Tetsuya, et al.. (2013). The expression of LIM‐homeobox genes, Lhx1 and Lhx5, in the forebrain is essential for neural retina differentiation. Development Growth & Differentiation. 55(7). 668–675. 14 indexed citations
14.
Bando, Tetsuya, Yoshimasa Hamada, Taro Nakamura, et al.. (2011). Lowfat, a mammalian Lix1 homologue, regulates leg size and growth under the Dachsous/Fat signaling pathway during tissue regeneration†. Developmental Dynamics. 240(6). 1440–1453. 12 indexed citations
15.
Sahari, Siti Kudnie, Hideki Murakami, Toshiyuki Fujioka, et al.. (2011). Native Oxidation Growth on Ge(111) and (100) Surfaces. Japanese Journal of Applied Physics. 50(4S). 04DA12–04DA12. 24 indexed citations
16.
Nakamura, Taro, Haruko Okamoto, Yohei Shinmyo, et al.. (2010). Imaging of Transgenic Cricket Embryos Reveals Cell Movements Consistent with a Syncytial Patterning Mechanism. Current Biology. 20(18). 1641–1647. 56 indexed citations
17.
Mito, Taro, Taro Nakamura, Tetsuya Bando, Hideyo Ohuchi, & Sumihare Noji. (2010). The advent of RNA interference in Entomology. Entomological Science. 14(1). 1–8. 41 indexed citations
18.
Minoshima, Masafumi, et al.. (2008). Pyrrole-imidazole hairpin polyamides with high affinity at 5'-CGCG-3' DNA sequence; influence of cytosine methylation on binding. Nucleic Acids Research. 36(9). 2889–2894. 40 indexed citations
19.
Minoshima, Masafumi, et al.. (2007). Synthesis and biological properties of pyrrole-imidazole polyamide conjugates. Nucleic Acids Symposium Series. 51(1). 35–36. 1 indexed citations
20.
Sasaki, Shizuka, et al.. (2007). Sequence-specific alkylation by a tandem motif of pyrrole-imidazole CBI conjugate. Nucleic Acids Symposium Series. 51(1). 265–266. 3 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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