Shu Kondo

7.8k total citations
112 papers, 4.3k citations indexed

About

Shu Kondo is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Immunology. According to data from OpenAlex, Shu Kondo has authored 112 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Cellular and Molecular Neuroscience, 36 papers in Molecular Biology and 30 papers in Immunology. Recurrent topics in Shu Kondo's work include Neurobiology and Insect Physiology Research (46 papers), Invertebrate Immune Response Mechanisms (28 papers) and Animal Behavior and Reproduction (14 papers). Shu Kondo is often cited by papers focused on Neurobiology and Insect Physiology Research (46 papers), Invertebrate Immune Response Mechanisms (28 papers) and Animal Behavior and Reproduction (14 papers). Shu Kondo collaborates with scholars based in Japan, United States and Switzerland. Shu Kondo's co-authors include Ryu Ueda, Bruno Lemaître, Yasushi Hiromi, Mark A. Hanson, Darren W. Williams, Agnieszka Krzyzanowska, James W. Truman, Hiromu Tanimoto, Jan P. Dudzic and Nanami Senoo‐Matsuda and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Shu Kondo

106 papers receiving 4.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shu Kondo Japan 36 1.9k 1.5k 1.2k 1.0k 736 112 4.3k
Ryu Ueda Japan 37 2.7k 1.4× 1.6k 1.1× 1.9k 1.6× 1.3k 1.3× 643 0.9× 79 5.4k
Carlos Ribeiro Portugal 29 1.2k 0.6× 1.6k 1.1× 626 0.5× 1.2k 1.2× 865 1.2× 49 3.8k
Christopher J. Potter United States 38 2.7k 1.4× 2.3k 1.6× 750 0.6× 638 0.6× 1.2k 1.6× 73 5.3k
Toshiro Aigaki Japan 39 2.6k 1.4× 1.9k 1.3× 854 0.7× 1.1k 1.1× 1.4k 1.8× 138 5.5k
Irene Miguel‐Aliaga United Kingdom 27 1.1k 0.5× 1.3k 0.9× 927 0.8× 661 0.7× 438 0.6× 44 2.8k
Barret D. Pfeiffer United States 23 2.4k 1.2× 2.6k 1.7× 565 0.5× 326 0.3× 1.3k 1.8× 26 4.6k
Frank Schnorrer Germany 31 3.0k 1.5× 1.6k 1.1× 593 0.5× 270 0.3× 546 0.7× 56 4.5k
Verônica Rodrigues India 35 1.1k 0.6× 2.3k 1.5× 597 0.5× 745 0.7× 844 1.1× 78 3.4k
Roger A. Hoskins United States 24 3.8k 1.9× 1.5k 1.0× 565 0.5× 365 0.4× 964 1.3× 35 5.3k
Joseph W. Carlson United States 18 2.8k 1.4× 1.3k 0.9× 418 0.4× 318 0.3× 825 1.1× 25 4.1k

Countries citing papers authored by Shu Kondo

Since Specialization
Citations

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

Fields of papers citing papers by Shu Kondo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shu Kondo

This figure shows the co-authorship network connecting the top 25 collaborators of Shu Kondo. A scholar is included among the top collaborators of Shu Kondo 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 Shu Kondo. Shu Kondo 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.
Ozoe, Yoshihisa, et al.. (2024). Knock-in mutagenesis in Drosophila Rdl underscores the critical role of the conserved M3 glycine in mediating the actions of broflanilide and isocycloseram on GABA receptors. Pesticide Biochemistry and Physiology. 199. 105776–105776. 5 indexed citations
2.
Gao, Yang, et al.. (2024). SUMOylation of Warts kinase promotes neural stem cell reactivation. Nature Communications. 15(1). 8557–8557. 2 indexed citations
3.
4.
Miyoshi, Keita, Shu Kondo, Naoki Tani, et al.. (2024). Mettl1-dependent m7G tRNA modification is essential for maintaining spermatogenesis and fertility in Drosophila melanogaster. Nature Communications. 15(1). 8147–8147. 8 indexed citations
5.
Yoshinari, Yuto, Takashi Nishimura, Taishi Yoshii, et al.. (2024). A high-protein diet-responsive gut hormone regulates behavioral and metabolic optimization in Drosophila melanogaster. Nature Communications. 15(1). 10819–10819. 8 indexed citations
6.
Nouzová, Marcela, Shigeru Matsuyama, Shu Kondo, et al.. (2023). Female reproductive dormancy in Drosophila is regulated by DH31-producing neurons projecting into the corpus allatum. Development. 150(10). 19 indexed citations
7.
Okamoto, Naoki, Masaki Kamiya, Wataru Koizumi, et al.. (2023). Functional impact of subunit composition and compensation on Drosophila melanogaster nicotinic receptors–targets of neonicotinoids. PLoS Genetics. 19(2). e1010522–e1010522. 15 indexed citations
8.
Hanson, Mark A., Shu Kondo, & Bruno Lemaître. (2022). Drosophila immunity: the Drosocin gene encodes two host defence peptides with pathogen-specific roles. Proceedings of the Royal Society B Biological Sciences. 289(1977). 20220773–20220773. 22 indexed citations
9.
Yokoshi, Moe, Shu Kondo, Aoi Shibuya, et al.. (2022). Mod(mdg4) variants repress telomeric retrotransposon HeT-A by blocking subtelomeric enhancers. Nucleic Acids Research. 50(20). 11580–11599. 5 indexed citations
10.
Daubnerová, Ivana, et al.. (2021). The neuropeptide allatostatin C from clock-associated DN1p neurons generates the circadian rhythm for oogenesis. Proceedings of the National Academy of Sciences. 118(4). 34 indexed citations
11.
Yoshinari, Yuto, Hina Kosakamoto, Shu Kondo, et al.. (2021). The sugar-responsive enteroendocrine neuropeptide F regulates lipid metabolism through glucagon-like and insulin-like hormones in Drosophila melanogaster. Nature Communications. 12(1). 4818–4818. 67 indexed citations
12.
Marra, Alice, Mark A. Hanson, Shu Kondo, Berra Erkoşar, & Bruno Lemaître. (2021). Drosophila Antimicrobial Peptides and Lysozymes Regulate Gut Microbiota Composition and Abundance. mBio. 12(4). e0082421–e0082421. 99 indexed citations
13.
Kondo, Shu, et al.. (2021). Crumbs and the apical spectrin cytoskeleton regulate R8 cell fate in the Drosophila eye. PLoS Genetics. 17(6). e1009146–e1009146. 7 indexed citations
14.
Sadanandappa, Madhumala K., et al.. (2021). Neuropeptide F signaling regulates parasitoid-specific germline development and egg-laying in Drosophila. PLoS Genetics. 17(3). e1009456–e1009456. 13 indexed citations
15.
Kondo, Shu, et al.. (2021). A systematic analysis of microtubule‐destabilizing factors during dendrite pruning in Drosophila. EMBO Reports. 22(10). e52679–e52679. 15 indexed citations
16.
Vissers, Joseph H.A., et al.. (2020). Pits and CtBP Control Tissue Growth in Drosophila melanogaster with the Hippo Pathway Transcription Repressor Tgi. Genetics. 215(1). 117–128. 5 indexed citations
17.
Yoshinari, Yuto, Tomotsune Ameku, Shu Kondo, et al.. (2020). Neuronal octopamine signaling regulates mating-induced germline stem cell increase in female Drosophila melanogaster. eLife. 9. 29 indexed citations
18.
Ihara, Makoto, Shogo Furutani, Masaki Kamiya, et al.. (2020). Cofactor-enabled functional expression of fruit fly, honeybee, and bumblebee nicotinic receptors reveals picomolar neonicotinoid actions. Proceedings of the National Academy of Sciences. 117(28). 16283–16291. 73 indexed citations
19.
20.
Hasegawa, Eri, Kazuya Togashi, M. Tsuji, et al.. (2020). Drosophila miR-87 promotes dendrite regeneration by targeting the transcriptional repressor Tramtrack69. PLoS Genetics. 16(8). e1008942–e1008942. 19 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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