Manabu Oté

993 total citations
26 papers, 727 citations indexed

About

Manabu Oté is a scholar working on Insect Science, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Manabu Oté has authored 26 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Insect Science, 11 papers in Cellular and Molecular Neuroscience and 8 papers in Genetics. Recurrent topics in Manabu Oté's work include Neurobiology and Insect Physiology Research (11 papers), Insect symbiosis and bacterial influences (7 papers) and Insect and Arachnid Ecology and Behavior (7 papers). Manabu Oté is often cited by papers focused on Neurobiology and Insect Physiology Research (11 papers), Insect symbiosis and bacterial influences (7 papers) and Insect and Arachnid Ecology and Behavior (7 papers). Manabu Oté collaborates with scholars based in Japan, Burkina Faso and United Kingdom. Manabu Oté's co-authors include Daisuke Yamamoto, Ken-ichi Kimura, Toru Shimada, Kazuei Mita, Hideki Kawasaki, Masahiko Kobayashi, Kosei Sato, Morio Ueyama, Masayuki Koganezawa and Takaaki Daimon and has published in prestigious journals such as Nature, Cell and Current Biology.

In The Last Decade

Manabu Oté

25 papers receiving 715 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manabu Oté Japan 13 361 282 245 235 174 26 727
Toru Togawa Japan 9 409 1.1× 312 1.1× 376 1.5× 387 1.6× 84 0.5× 17 731
Rong‐Jing Jiang China 13 490 1.4× 320 1.1× 223 0.9× 316 1.3× 73 0.4× 19 755
Keiko Takaki Japan 12 509 1.4× 247 0.9× 339 1.4× 317 1.3× 178 1.0× 23 901
Yoshitaka Suetsugu Japan 15 273 0.8× 405 1.4× 260 1.1× 514 2.2× 130 0.7× 25 919
Baosheng Zeng China 17 268 0.7× 579 2.1× 240 1.0× 521 2.2× 91 0.5× 22 914
Zhentao Sheng United States 9 596 1.7× 355 1.3× 336 1.4× 388 1.7× 131 0.8× 18 865
Hans Peter Vandersmissen Belgium 17 636 1.8× 256 0.9× 330 1.3× 319 1.4× 175 1.0× 19 877
Peng-Lu Pan China 8 230 0.6× 373 1.3× 189 0.8× 390 1.7× 93 0.5× 8 675
Ying Lin China 16 395 1.1× 375 1.3× 275 1.1× 417 1.8× 55 0.3× 30 815
Lucie Kučerová Czechia 14 187 0.5× 219 0.8× 128 0.5× 301 1.3× 79 0.5× 31 647

Countries citing papers authored by Manabu Oté

Since Specialization
Citations

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

Fields of papers citing papers by Manabu Oté

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manabu Oté

This figure shows the co-authorship network connecting the top 25 collaborators of Manabu Oté. A scholar is included among the top collaborators of Manabu Oté 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 Manabu Oté. Manabu Oté 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.
Sombié, Aboubacar, Manabu Oté, Tatsuya Sakurai, et al.. (2024). Three years of insecticide resistance evolution and associated mechanisms in Aedes aegypti populations of Ouagadougou, Burkina Faso. PLoS neglected tropical diseases. 18(12). e0012138–e0012138. 2 indexed citations
2.
3.
Oté, Manabu, et al.. (2023). DIPA-CRISPR gene editing in the yellow fever mosquito Aedes aegypti (Diptera: Culicidae). Applied Entomology and Zoology. 58(3). 273–278. 10 indexed citations
4.
Aonuma, Hiroka, Itoe Iizuka, Jian‐Chiuan Li, et al.. (2022). LAMP Detection of Virus-Derived DNA of Zika Virus in Vector Mosquito. Frontiers in Tropical Diseases. 3. 1 indexed citations
5.
Aonuma, Hiroka, Manabu Oté, Tatsuya Sakurai, et al.. (2020). Intensive diagnostic management of coronavirus disease 2019 (COVID-19) in academic settings in Japan: challenge and future. Inflammation and Regeneration. 40(1). 38–38. 3 indexed citations
6.
Sato, Kosei, et al.. (2019). Calmodulin-binding transcription factor shapes the male courtship song in Drosophila. PLoS Genetics. 15(7). e1008309–e1008309. 5 indexed citations
7.
Oté, Manabu & Hirotaka Kanuka. (2018). A highly secure method for rearing Aedes aegypti mosquitoes. Tropical Medicine and Health. 46(1). 16–16. 6 indexed citations
8.
9.
Ishikawa, Hiroki, et al.. (2016). A subset of neurons controls the permeability of the peritrophic matrix and midgut structure in Drosophila adults. Journal of Experimental Biology. 219(Pt 15). 2331–9. 16 indexed citations
10.
Oté, Manabu, Morio Ueyama, & Daisuke Yamamoto. (2016). Wolbachia Protein TomO Targets nanos mRNA and Restores Germ Stem Cells in Drosophila Sex-lethal Mutants. Current Biology. 26(17). 2223–2232. 36 indexed citations
11.
Sakakibara, Yasufumi, Kosei Sato, Manabu Oté, et al.. (2014). TheDrosophilalingerer protein cooperates with Orb2 in long-term memory formation. Journal of Neurogenetics. 29(1). 8–17. 6 indexed citations
12.
Toba, Gakuta, et al.. (2014). Afruitlessupstream region that defines the species specificity in the male-specific muscle patterning inDrosophila. Journal of Neurogenetics. 29(1). 23–29. 4 indexed citations
13.
Ito, Hiroki, Kosei Sato, Masayuki Koganezawa, et al.. (2012). Fruitless Recruits Two Antagonistic Chromatin Factors to Establish Single-Neuron Sexual Dimorphism. Cell. 149(6). 1327–1338. 71 indexed citations
14.
Oté, Manabu, Kazuei Mita, Hideki Kawasaki, et al.. (2005). Identification of molting fluid carboxypeptidase A (MF-CPA) in Bombyx mori. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 141(3). 314–322. 61 indexed citations
15.
Oté, Manabu, Kazuei Mita, Hideki Kawasaki, Masahiko Kobayashi, & Toru Shimada. (2005). Characteristics of two genes encoding proteins with an ADAM-type metalloprotease domain, which are induced during the molting periods inBombyx mori. Archives of Insect Biochemistry and Physiology. 59(2). 91–98. 7 indexed citations
16.
Kimura, Ken-ichi, et al.. (2005). Fruitless specifies sexually dimorphic neural circuitry in the Drosophila brain. Nature. 438(7065). 229–233. 219 indexed citations
17.
Iwanaga, Masashi, Susumu Katsuma, Manabu Oté, et al.. (2004). Expression profiling of baculovirus genes in permissive and nonpermissive cell lines. Biochemical and Biophysical Research Communications. 323(2). 599–614. 63 indexed citations
18.
Kawasaki, Hideki, et al.. (2004). Change in the expressed gene patterns of the wing disc during the metamorphosis of Bombyx mori. Gene. 343(1). 133–142. 23 indexed citations
19.
Oté, Manabu, et al.. (2003). Isolation and comparison of different ecdysone-responsive cuticle protein genes in wing discs of Bombyx mori. Insect Biochemistry and Molecular Biology. 33(7). 671–679. 51 indexed citations
20.
Quan, Guoxing, Natuo Kômoto, Hideki Sezutsu, et al.. (2002). Characterization of the kynurenine 3-monooxygenase gene corresponding to the white egg 1 mutant in the silkworm Bombyx mori. Molecular Genetics and Genomics. 267(1). 1–9. 45 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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