Ryosuke Fukuda

960 total citations
35 papers, 777 citations indexed

About

Ryosuke Fukuda is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Immunology. According to data from OpenAlex, Ryosuke Fukuda has authored 35 papers receiving a total of 777 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pulmonary and Respiratory Medicine, 10 papers in Molecular Biology and 7 papers in Immunology. Recurrent topics in Ryosuke Fukuda's work include Cystic Fibrosis Research Advances (11 papers), Neonatal Respiratory Health Research (5 papers) and Cell Adhesion Molecules Research (5 papers). Ryosuke Fukuda is often cited by papers focused on Cystic Fibrosis Research Advances (11 papers), Neonatal Respiratory Health Research (5 papers) and Cell Adhesion Molecules Research (5 papers). Ryosuke Fukuda collaborates with scholars based in Japan, United States and Canada. Ryosuke Fukuda's co-authors include S Matsukawa, Yoshinobu Nakanishi, T. Takizawa, Yoshinori Higuchi, Shôji Nakamura, Tsukasa Okiyoneda, Hirofumi Kai, Mary Ann Suico, Tsuyoshi Shuto and Manabu Taura and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Ryosuke Fukuda

32 papers receiving 768 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryosuke Fukuda Japan 16 300 250 203 129 102 35 777
Xue‐Zhong Ma Canada 17 399 1.3× 398 1.6× 144 0.7× 47 0.4× 61 0.6× 28 1.1k
Aaron K. Neumann United States 17 526 1.8× 220 0.9× 120 0.6× 52 0.4× 92 0.9× 26 950
Z. Sean Juo United States 9 511 1.7× 430 1.7× 162 0.8× 33 0.3× 102 1.0× 9 1.2k
Craig D. Platt United States 15 336 1.1× 619 2.5× 89 0.4× 90 0.7× 125 1.2× 40 1.1k
Kevin Macon United States 20 245 0.8× 473 1.9× 61 0.3× 118 0.9× 93 0.9× 25 918
Victoria Centonze Frohlich United States 6 415 1.4× 458 1.8× 188 0.9× 89 0.7× 74 0.7× 10 1.1k
Cindy A. Morris United States 20 287 1.0× 305 1.2× 270 1.3× 64 0.5× 48 0.5× 32 961
Kimiko Kuroki Japan 24 342 1.1× 1.0k 4.1× 269 1.3× 42 0.3× 141 1.4× 55 1.6k
Marie-Pierre Puisségur France 11 604 2.0× 213 0.9× 194 1.0× 107 0.8× 35 0.3× 13 1.1k
Sang-Jin Lee South Korea 22 599 2.0× 293 1.2× 79 0.4× 90 0.7× 127 1.2× 58 1.1k

Countries citing papers authored by Ryosuke Fukuda

Since Specialization
Citations

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

Fields of papers citing papers by Ryosuke Fukuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryosuke Fukuda

This figure shows the co-authorship network connecting the top 25 collaborators of Ryosuke Fukuda. A scholar is included among the top collaborators of Ryosuke Fukuda 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 Ryosuke Fukuda. Ryosuke Fukuda 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.
2.
Fukuda, Ryosuke, et al.. (2024). Enhanced CFTR modulator efficacy in ΔF508 CFTR mouse organoids by ablation of RFFL ubiquitin ligase. Biochemical and Biophysical Research Communications. 733. 150433–150433. 4 indexed citations
3.
Matsuura, Yuta, Ryosuke Fukuda, Shunsuke Aoki, et al.. (2023). Identification of α-Tocopherol succinate as an RFFL-substrate interaction inhibitor inducing peripheral CFTR stabilization and apoptosis. Biochemical Pharmacology. 215. 115730–115730. 11 indexed citations
4.
Fukuda, Ryosuke, et al.. (2023). The COPD-Associated Polymorphism Impairs the CFTR Function to Suppress Excessive IL-8 Production upon Environmental Pathogen Exposure. International Journal of Molecular Sciences. 24(3). 2305–2305. 6 indexed citations
5.
Fukuda, Ryosuke, Ryo Kawakami, Kota Matsuki, et al.. (2023). High‐Density Lipoprotein Engineering for Eye‐Drop Treatment of Age‐Related Macular Degeneration. Advanced Therapeutics. 6(11). 2 indexed citations
7.
Ito, Yukiko, et al.. (2022). The Ubiquitin Ligase RNF34 Participates in the Peripheral Quality Control of CFTR (RNF34 Role in CFTR PeriQC). Frontiers in Molecular Biosciences. 9. 840649–840649. 12 indexed citations
8.
Fukuda, Ryosuke, et al.. (2020). Urea-Assisted Reconstitution of Discoidal High-Density Lipoprotein. Biochemistry. 59(15). 1455–1464. 3 indexed citations
9.
Numata, Tomohiro, et al.. (2020). Elucidation of the Mechanisms for the Underlying Depolarization and Reversibility by Photoactive Molecule.. Cellular Physiology and Biochemistry. 54(5). 899–916. 1 indexed citations
10.
Bidaud-Meynard, Aurélien, Florian Bossard, Andrea Schnúr, et al.. (2019). Transcytosis maintains CFTR apical polarity in the face of constitutive and mutation-induced basolateral missorting. Journal of Cell Science. 132(10). 8 indexed citations
11.
Omachi, Kohei, et al.. (2018). A Split-Luciferase-Based Trimer Formation Assay as a High-throughput Screening Platform for Therapeutics in Alport Syndrome. Cell chemical biology. 25(5). 634–643.e4. 21 indexed citations
12.
Fukuda, Ryosuke & Tsukasa Okiyoneda. (2018). Peripheral Protein Quality Control as a Novel Drug Target for CFTR Stabilizer. Frontiers in Pharmacology. 9. 1100–1100. 31 indexed citations
13.
Suda, K., Tatsuya Murakami, Norimoto Gotoh, et al.. (2017). High-density lipoprotein mutant eye drops for the treatment of posterior eye diseases. Journal of Controlled Release. 266. 301–309. 37 indexed citations
14.
Bagdány, Miklós, Guido Veit, Ryosuke Fukuda, et al.. (2017). Chaperones rescue the energetic landscape of mutant CFTR at single molecule and in cell. Nature Communications. 8(1). 398–398. 53 indexed citations
15.
Omachi, Kohei, et al.. (2017). Long-term treatment with EGFR inhibitor erlotinib attenuates renal inflammatory cytokines but not nephropathy in Alport syndrome mouse model. Clinical and Experimental Nephrology. 21(6). 952–960. 8 indexed citations
16.
Fukuda, Ryosuke, Mary Ann Suico, Kohei Omachi, et al.. (2015). Podocyte p53 Limits the Severity of Experimental Alport Syndrome. Journal of the American Society of Nephrology. 27(1). 144–157. 23 indexed citations
17.
Suico, Mary Ann, et al.. (2014). The Transcription Factor MEF/Elf4 Is Dually Modulated by p53-MDM2 Axis and MEF-MDM2 Autoregulatory Mechanism. Journal of Biological Chemistry. 289(38). 26143–26154. 16 indexed citations
18.
Fukuda, Ryosuke, Mary Ann Suico, Kohei Omachi, et al.. (2013). Mild Electrical Stimulation at 0.1-ms Pulse Width Induces p53 Protein Phosphorylation and G2 Arrest in Human Epithelial Cells. Journal of Biological Chemistry. 288(22). 16117–16126. 15 indexed citations
19.
Taura, Manabu, Ryosuke Fukuda, Mary Ann Suico, et al.. (2010). TLR3 induction by anticancer drugs potentiates poly I:C‐induced tumor cell apoptosis. Cancer Science. 101(7). 1610–1617. 55 indexed citations
20.
Taura, Manabu, Mary Ann Suico, Ryosuke Fukuda, et al.. (2010). MEF/ELF4 transactivation by E2F1 is inhibited by p53. Nucleic Acids Research. 39(1). 76–88. 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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