Wakae Awano

1.8k total citations · 1 hit paper
16 papers, 1.5k citations indexed

About

Wakae Awano is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Wakae Awano has authored 16 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 6 papers in Cell Biology. Recurrent topics in Wakae Awano's work include Neurobiology and Insect Physiology Research (8 papers), Cellular transport and secretion (5 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers). Wakae Awano is often cited by papers focused on Neurobiology and Insect Physiology Research (8 papers), Cellular transport and secretion (5 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers). Wakae Awano collaborates with scholars based in Japan, India and United States. Wakae Awano's co-authors include Daisuke Yamamoto, Kei Ito, Yasushi Hiromi, Tamás Lukácsovich, Satoshi Goto, Miki Yamamoto‐Hino, Zoltán Asztalos, Kazue Usui‐Aoki, Shunzo Kondo and Ryu Ueda and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

In The Last Decade

Wakae Awano

16 papers receiving 1.4k citations

Hit Papers

The Drosophila mushroom body is a quadruple structure of ... 1997 2026 2006 2016 1997 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wakae Awano Japan 15 865 692 372 312 240 16 1.5k
Audra L. Scully United States 12 831 1.0× 864 1.2× 212 0.6× 256 0.8× 180 0.8× 13 1.5k
Steven Robinow United States 16 1.2k 1.4× 1.1k 1.6× 302 0.8× 282 0.9× 346 1.4× 19 2.0k
Sophie Pantalacci France 16 940 1.1× 397 0.6× 547 1.5× 277 0.9× 197 0.8× 26 1.7k
Xavier Franch‐Marro Spain 21 867 1.0× 432 0.6× 359 1.0× 294 0.9× 168 0.7× 33 1.3k
John R. Nambu United States 22 1.5k 1.8× 769 1.1× 265 0.7× 404 1.3× 285 1.2× 38 2.1k
Frances Hannan United States 17 751 0.9× 970 1.4× 246 0.7× 307 1.0× 128 0.5× 21 1.8k
Patricia S. Estes United States 15 991 1.1× 670 1.0× 317 0.9× 295 0.9× 94 0.4× 19 1.6k
Cordula Schulz United States 18 1.3k 1.5× 390 0.6× 259 0.7× 435 1.4× 340 1.4× 25 1.8k
Natalia Azpiazu Spain 12 1.7k 1.9× 516 0.7× 289 0.8× 405 1.3× 213 0.9× 18 2.0k
Halyna R. Shcherbata Germany 27 1.8k 2.1× 422 0.6× 267 0.7× 280 0.9× 288 1.2× 58 2.4k

Countries citing papers authored by Wakae Awano

Since Specialization
Citations

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

Fields of papers citing papers by Wakae Awano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wakae Awano

This figure shows the co-authorship network connecting the top 25 collaborators of Wakae Awano. A scholar is included among the top collaborators of Wakae Awano 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 Wakae Awano. Wakae Awano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Yano, Hiroyuki, Miki Yamamoto‐Hino, Wakae Awano, et al.. (2012). Identification of Proteasome Components Required for Apical Localization of Chaoptin Using Functional Genomics. Journal of Neurogenetics. 26(1). 53–63. 6 indexed citations
2.
Yamamoto‐Hino, Miki, Masato Abe, Wakae Awano, et al.. (2012). Cisterna-specific Localization of Glycosylation-related Proteins to the Golgi Apparatus. Cell Structure and Function. 37(1). 55–63. 15 indexed citations
3.
Mukai, Akiko, Miki Yamamoto‐Hino, Wakae Awano, et al.. (2010). Balanced ubiquitylation and deubiquitylation of Frizzled regulate cellular responsiveness to Wg/Wnt. The EMBO Journal. 29(13). 2114–2125. 110 indexed citations
4.
Midorikawa, Ryosuke, et al.. (2010). Autophagy-Dependent Rhodopsin Degradation Prevents Retinal Degeneration inDrosophila. Journal of Neuroscience. 30(32). 10703–10719. 52 indexed citations
5.
Yamamoto‐Hino, Miki, Yoshimi Kanie, Wakae Awano, et al.. (2010). Identification of Genes Required for Neural-Specific Glycosylation Using Functional Genomics. PLoS Genetics. 6(12). e1001254–e1001254. 28 indexed citations
6.
Nakano, Yoshiro, Utako Kato, Mizuho Kaneda, et al.. (2009). Changes in Temperature Preferences and Energy Homeostasis in Dystroglycan Mutants. Science. 323(5922). 1740–1743. 55 indexed citations
7.
Abe, Masato, Tsubasa Tanaka, Wakae Awano, et al.. (2009). Membrane Protein Location-Dependent Regulation by PI3K (III) and Rabenosyn-5 in Drosophila Wing Cells. PLoS ONE. 4(10). e7306–e7306. 18 indexed citations
8.
Yano, Hiroyuki, Miki Yamamoto‐Hino, Masato Abe, et al.. (2005). Distinct functional units of the Golgi complex in Drosophila cells. Proceedings of the National Academy of Sciences. 102(38). 13467–13472. 84 indexed citations
9.
Lukácsovich, Tamás, Kazuya Yuge, Wakae Awano, et al.. (2003). The ken and barbie gene encoding a putative transcription factor with a BTB domain and three zinc finger motifs functions in terminalia development of Drosophila. Archives of Insect Biochemistry and Physiology. 54(2). 77–94. 21 indexed citations
10.
Kuniyoshi, Hisato, Kotaro Baba, Ryu Ueda, et al.. (2002). lingerer, a Drosophila Gene Involved in Initiation and Termination of Copulation, Encodes a Set of Novel Cytoplasmic Proteins. Genetics. 162(4). 1775–1789. 26 indexed citations
11.
Lukácsovich, Tamás, Zoltán Asztalos, Wakae Awano, et al.. (2001). Dual-Tagging Gene Trap of Novel Genes inDrosophila melanogaster. Genetics. 157(2). 727–742. 90 indexed citations
12.
Nakano, Yoshiro, Kazuko Fujitani, Kazue Usui‐Aoki, et al.. (2001). Mutations in the Novel Membrane Protein Spinster Interfere with Programmed Cell Death and Cause Neural Degeneration inDrosophila melanogaster. Molecular and Cellular Biology. 21(11). 3775–3788. 104 indexed citations
13.
Usui‐Aoki, Kazue, Hiroki Ito, Kumiko Ui‐Tei, et al.. (2000). Formation of the male-specific muscle in female Drosophila by ectopic fruitless expression. Nature Cell Biology. 2(8). 500–506. 136 indexed citations
14.
Nilsson, Eric, Zoltán Asztalos, Tamás Lukácsovich, et al.. (2000). Fruitlessis in the Regulatory Pathway by Which EctopicMini-WhiteandTransformerInduce Bisexual Courtship inDrosophila. Journal of Neurogenetics. 13(4). 213–232. 20 indexed citations
15.
Lukácsovich, Tamás, Zoltán Asztalos, Naoto Juni, Wakae Awano, & Daisuke Yamamoto. (1999). TheDrosophila melanogaster60A Chromosomal Division Is Extremely Dense with Functional Genes: Their Sequences, Genomic Organization, and Expression. Genomics. 57(1). 43–56. 21 indexed citations
16.
Ito, Kei, et al.. (1997). The Drosophila mushroom body is a quadruple structure of clonal units each of which contains a virtually identical set of neurones and glial cells. Development. 124(4). 761–771. 676 indexed citations breakdown →

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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