Ryoji Kise

609 total citations
21 papers, 344 citations indexed

About

Ryoji Kise is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Ryoji Kise has authored 21 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 4 papers in Cell Biology. Recurrent topics in Ryoji Kise's work include Receptor Mechanisms and Signaling (14 papers), Neuropeptides and Animal Physiology (7 papers) and Sphingolipid Metabolism and Signaling (6 papers). Ryoji Kise is often cited by papers focused on Receptor Mechanisms and Signaling (14 papers), Neuropeptides and Animal Physiology (7 papers) and Sphingolipid Metabolism and Signaling (6 papers). Ryoji Kise collaborates with scholars based in Japan, United States and Australia. Ryoji Kise's co-authors include Asuka Inoue, Kuniyuki Kano, Junken Aoki, Hiroshi Yukiura, Kouki Kawakami, Matthieu Masureel, Brian K. Kobilka, Benjamin Barsi‐Rhyne, Dirk H. Siepe and Franziska M. Heydenreich and has published in prestigious journals such as Cell, Nature Communications and Molecular Cell.

In The Last Decade

Ryoji Kise

20 papers receiving 343 citations

Peers

Ryoji Kise

CMN

IMMUN

ONCOL

Lama Yamani Canada

Caroline E. Franks United States

Lenka Řihakova Canada

Kathryn M. Appleton United States

Mireia Pérez-Verdaguer Spain

Pascal M. Lanctôt Canada

Beatriz Domingo Spain

Shannon M. Gallagher United States

Tabetha M. Bonacci United States

Yubo Cao China

Lama Yamani Canada

Ryoji Kise

292 ×1.0

136 ×1.2

CMN

81 ×1.7

40 ×0.9

IMMUN

23 ×0.9

ONCOL

Citations per year, relative to Ryoji Kise Ryoji Kise (= 1×) peers Lama Yamani

Countries citing papers authored by Ryoji Kise

Since Specialization

Citations

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

Fields of papers citing papers by Ryoji Kise

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryoji Kise

This figure shows the co-authorship network connecting the top 25 collaborators of Ryoji Kise. A scholar is included among the top collaborators of Ryoji Kise 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 Ryoji Kise. Ryoji Kise 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

Zhou, Peng, Taka A. Tsunoyama, Rinshi S. Kasai, et al.. (2025). Single-molecule methods for characterizing receptor dimers reveal metastable opioid receptor homodimers that induce functional modulation. Nature Communications. 16(1). 9858–9858. 1 indexed citations

Shiimura, Yuki, Dohyun Im, Hidetsugu Asada, et al.. (2025). The structure and function of the ghrelin receptor coding for drug actions. Nature Structural & Molecular Biology. 32(3). 531–542. 3 indexed citations

Kawakami, Kouki, Ryoji Kise, Carl‐Mikael Suomivuori, et al.. (2025). Structural insights into lipid chain-length selectivity and allosteric regulation of FFA2. Nature Communications. 16(1). 2809–2809. 1 indexed citations

Kise, Ryoji, Noriki Kutsumura, Yasuyuki Nagumo, et al.. (2025). Structure–Signal Relationships of the <i>δ</i>-Opioid-Receptor (DOR)-Selective Agonist KNT-127—Part II: Quinoline Ring Modifications for Enhanced G-Protein Signaling and Reduced <i>β</i>-Arrestin Recruitment. Chemical and Pharmaceutical Bulletin. 73(4). 336–348.

Kise, Ryoji, et al.. (2024). Structure and dynamics of the pyroglutamylated RF-amide peptide QRFP receptor GPR103. Nature Communications. 15(1). 4769–4769. 6 indexed citations

Kise, Ryoji, et al.. (2024). Signal profiles and spatial regulation of β-arrestin recruitment through Gβ5 and GRK3 at the μ-opioid receptor. European Journal of Pharmacology. 987. 177151–177151. 1 indexed citations

Hirata, Yusuke, Yuto Yamada, Takashi Toyama, et al.. (2024). Conjugated fatty acids drive ferroptosis through chaperone-mediated autophagic degradation of GPX4 by targeting mitochondria. Cell Death and Disease. 15(12). 884–884. 8 indexed citations

Kise, Ryoji, et al.. (2024). Generation of Comprehensive GPCR-Transducer-Deficient Cell Lines to Dissect the Complexity of GPCR Signaling. Pharmacological Reviews. 76(4). 599–619. 4 indexed citations

Masuho, Ikuo, Ryoji Kise, Pablo Gaínza, et al.. (2023). Rules and mechanisms governing G protein coupling selectivity of GPCRs. Cell Reports. 42(10). 113173–113173. 32 indexed citations

10.

Janetzko, John, Ryoji Kise, Benjamin Barsi‐Rhyne, et al.. (2022). Membrane phosphoinositides regulate GPCR-β-arrestin complex assembly and dynamics. Cell. 185(24). 4560–4573.e19. 56 indexed citations

11.

Xu, Zhenmei, Tatsuya Ikuta, Kouki Kawakami, et al.. (2021). Structural basis of sphingosine-1-phosphate receptor 1 activation and biased agonism. Nature Chemical Biology. 18(3). 281–288. 55 indexed citations

12.

Kutsumura, Noriki, Yasuyuki Nagumo, Tsuyoshi Saitoh, et al.. (2021). Synthesis of unnatural morphinan compounds to induce itch-like behaviors in mice: Towards the development of MRGPRX2 selective ligands. Bioorganic & Medicinal Chemistry Letters. 56. 128485–128485. 5 indexed citations

13.

Katayama, Kota, Kohei Suzuki, Ryoji Suno, et al.. (2021). Vibrational spectroscopy analysis of ligand efficacy in human M2 muscarinic acetylcholine receptor (M2R). Communications Biology. 4(1). 1321–1321. 4 indexed citations

14.

Pandey, Shubhi, Punita Kumari, Mithu Baidya, et al.. (2021). Intrinsic bias at non-canonical, β-arrestin-coupled seven transmembrane receptors. Molecular Cell. 81(22). 4605–4621.e11. 62 indexed citations

15.

Kano, Kuniyuki, et al.. (2021). An ATX-LPA6-Gα13-ROCK axis shapes and maintains caudal vein plexus in zebrafish. iScience. 24(11). 103254–103254. 5 indexed citations

16.

Kise, Ryoji, Yuki Ono, Kouki Kawakami, & Asuka Inoue. (2020). Toward understanding the role of G-protein signaling. Current Opinion in Endocrine and Metabolic Research. 16. 51–55. 1 indexed citations

17.

Kise, Ryoji, et al.. (2018). Identification and biochemical characterization of a second zebrafish autotaxin gene. The Journal of Biochemistry. 165(3). 269–275. 5 indexed citations

18.

Arima, Naoaki, Kuniyuki Kano, Kotaro Hama, et al.. (2016). ATX-LPA1 axis contributes to proliferation of chondrocytes by regulating fibronectin assembly leading to proper cartilage formation. Scientific Reports. 6(1). 23433–23433. 28 indexed citations

19.

Yukiura, Hiroshi, Kuniyuki Kano, Ryoji Kise, Asuka Inoue, & Junken Aoki. (2015). Autotaxin Overexpression Causes Embryonic Lethality and Vascular Defects. PLoS ONE. 10(5). e0126734–e0126734. 30 indexed citations

20.

Yukiura, Hiroshi, Kuniyuki Kano, Ryoji Kise, Asuka Inoue, & Junken Aoki. (2015). LPP3 localizes LPA6 signalling to non-contact sites in endothelial cells. Journal of Cell Science. 128(21). 3871–3877. 24 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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