Hideki Nakagoshi

2.5k total citations
37 papers, 1.9k citations indexed

About

Hideki Nakagoshi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Hideki Nakagoshi has authored 37 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 12 papers in Cellular and Molecular Neuroscience and 9 papers in Genetics. Recurrent topics in Hideki Nakagoshi's work include Developmental Biology and Gene Regulation (15 papers), Neurobiology and Insect Physiology Research (12 papers) and Cancer-related gene regulation (6 papers). Hideki Nakagoshi is often cited by papers focused on Developmental Biology and Gene Regulation (15 papers), Neurobiology and Insect Physiology Research (12 papers) and Cancer-related gene regulation (6 papers). Hideki Nakagoshi collaborates with scholars based in Japan, Poland and United States. Hideki Nakagoshi's co-authors include Shunsuke Ishii, Fumio Matsuzaki, Chie Kanei‐Ishii, Takahiro Nagase, Yo-ichi Nabeshima, Thomas J. Gonda, H Sakura, Gaku Mizuguchi, Fumio Imamoto and Yuji Ueno and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Hideki Nakagoshi

36 papers receiving 1.9k citations

Peers

Hideki Nakagoshi

CMN

IMMUN

GENET

David A. Hartley United States

Dmitri Papatsenko United States

Sarah M. Smolik United States

J. Peter Gergen United States

Yi Sun Taiwan

Mark M. Metzstein United States

Cordula Schulz United States

Simon Saule France

Michael Sheets United States

Carlos V. Cabrera United Kingdom

David A. Hartley United States

Hideki Nakagoshi

1.9k ×1.3

429 ×1.0

CMN

344 ×1.1

IMMUN

379 ×1.4

401 ×1.5

GENET

Citations per year, relative to Hideki Nakagoshi Hideki Nakagoshi (= 1×) peers David A. Hartley

Countries citing papers authored by Hideki Nakagoshi

Since Specialization

Citations

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

Fields of papers citing papers by Hideki Nakagoshi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideki Nakagoshi

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

All Works

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20 of 20 papers shown

Ueda, Hitoshi, et al.. (2024). Fecundity is optimized by levels of nutrient signal-dependent expression of Dve and EcR in Drosophila male accessory gland. Developmental Biology. 508. 8–23. 2 indexed citations

Otake, Yoshiaki, et al.. (2024). Functional opsin patterning for Drosophila color vision is established through signaling pathways in adjacent object-detection neurons. Development. 151(6).

Puli, Oorvashi Roy, et al.. (2024). Genetic mechanism regulating diversity in the placement of eyes on the head of animals. Proceedings of the National Academy of Sciences. 121(16). e2316244121–e2316244121. 1 indexed citations

Taniguchi, Kiichiro, et al.. (2014). Isoform-specific functions of Mud/NuMA mediate binucleation of Drosophilamale accessory gland cells. BMC Developmental Biology. 14(1). 46–46. 21 indexed citations

Puli, Oorvashi Roy, et al.. (2014). A vertex specific dorsal selector Dve represses the ventral appendage identity in Drosophila head. Mechanisms of Development. 133. 54–63. 3 indexed citations

Taniguchi, Kiichiro, et al.. (2012). The Homeodomain Protein Defective Proventriculus Is Essential for Male Accessory Gland Development to Enhance Fecundity in Drosophila. PLoS ONE. 7(3). e32302–e32302. 26 indexed citations

Nakagawa, Yoshiki, et al.. (2011). Spatial and temporal requirement of Defective proventriculus activity during Drosophila midgut development. Mechanisms of Development. 128(5-6). 258–267. 15 indexed citations

Nakagoshi, Hideki, et al.. (2011). Defective proventriculus specifies the ocellar region in the Drosophila head. Developmental Biology. 356(2). 598–607. 8 indexed citations

Matsuzaki, Fumio, et al.. (2007). Notch signaling relieves the joint-suppressive activity of Defective proventriculus in the Drosophila leg. Developmental Biology. 312(1). 147–156. 22 indexed citations

10.

Nakagoshi, Hideki, et al.. (2006). Notch-, Wingless-, and Dpp-mediated signaling pathways are required for functional specification of Drosophila midgut cells. Developmental Biology. 304(1). 53–61. 11 indexed citations

11.

Nakagoshi, Hideki. (2005). Functional specification in the Drosophila endoderm. Development Growth & Differentiation. 47(6). 383–392. 34 indexed citations

12.

Nakagoshi, Hideki, et al.. (2002). Refinement of wingless Expression by a Wingless- and Notch-Responsive Homeodomain Protein, Defective Proventriculus. Developmental Biology. 249(1). 44–56. 23 indexed citations

13.

Hayashi, Shigeo, Kei Ito, Misako Taniguchi, et al.. (2002). GETDB, a database compiling expression patterns and molecular locations of a collection of gal4 enhancer traps. genesis. 34(1-2). 58–61. 234 indexed citations

14.

Nakagoshi, Hideki, Minako Hoshi, Yo-ichi Nabeshima, & Fumio Matsuzaki. (1998). A novel homeobox gene mediates the Dpp signal to establish functional specificity within target cells. Genes & Development. 12(17). 2724–2734. 54 indexed citations

15.

Nakagoshi, Hideki, et al.. (1995). Asymmetric segregation of the homeodomain protein Prospero duringDrosophila development. Nature. 377(6550). 627–630. 281 indexed citations

16.

Takahashi, Tomomi, Hideki Nakagoshi, Akinori Sarai, et al.. (1995). Human A‐myb gene encodes a transcriptional activator containing the negative regulatory domains. FEBS Letters. 358(1). 89–96. 31 indexed citations

17.

Nakagoshi, Hideki, Yoshio Ueno, & Fumio Imamoto. (1991). Effects of Prokaryotic Termination Signals on RNA Polymerase II Transcription in HeLa Cells. The Journal of Biochemistry. 110(1). 159–162. 1 indexed citations

18.

Nakagoshi, Hideki, et al.. (1989). Transcriptionaltrans-repression by the c-mybproto-oncogene product. Nucleic Acids Research. 17(18). 7315–7324. 37 indexed citations

19.

Nishina, Yukio, Hideki Nakagoshi, Fumio Imamoto, Thomas J. Gonda, & Shunsuke Ishii. (1989). Trans-activation by the c-mybproto-oncogene. Nucleic Acids Research. 17(1). 107–117. 114 indexed citations

20.

Akashi, Akira, Hideki Nakagoshi, Kazuyuki Kuroki, et al.. (1988). Molecular Cloning and Expression of a Gene for a Factor Which Stabilizes Formation of Inhibitor-Mitochondrial ATPase Complex from Saccharomyces cerevisiae. The Journal of Biochemistry. 104(4). 526–530. 16 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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