Takuya Iyoda

668 total citations
37 papers, 540 citations indexed

About

Takuya Iyoda is a scholar working on Molecular Biology, Immunology and Allergy and Cancer Research. According to data from OpenAlex, Takuya Iyoda has authored 37 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 17 papers in Immunology and Allergy and 12 papers in Cancer Research. Recurrent topics in Takuya Iyoda's work include Cell Adhesion Molecules Research (17 papers), Protease and Inhibitor Mechanisms (10 papers) and Peptidase Inhibition and Analysis (5 papers). Takuya Iyoda is often cited by papers focused on Cell Adhesion Molecules Research (17 papers), Protease and Inhibitor Mechanisms (10 papers) and Peptidase Inhibition and Analysis (5 papers). Takuya Iyoda collaborates with scholars based in Japan, United States and Australia. Takuya Iyoda's co-authors include Fumio Fukai, Yoshiro Kobayashi, Hiroaki Kodama, Kisaburo Nagata, Viorica Patrulea, Satoshi Seino, Olivier Jordan, Takehisa Hanawa, Gerrit Borchard and Yayoi Kawano and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Takuya Iyoda

36 papers receiving 535 citations

Peers

Takuya Iyoda
Gitali Ganguli‐Indra United States
Arnaud Robinet France
Y. Wegrowski France
Luca Parente Italy
Pertteli Salmenperä Finland
Emanuela Pessolano Italy
Monica Ruse United States
J. M. Tixier France
Hiromi Doi Japan
Lauren Bazinet United States
Gitali Ganguli‐Indra United States
Takuya Iyoda
Citations per year, relative to Takuya Iyoda Takuya Iyoda (= 1×) peers Gitali Ganguli‐Indra

Countries citing papers authored by Takuya Iyoda

Since Specialization
Citations

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

Fields of papers citing papers by Takuya Iyoda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takuya Iyoda

This figure shows the co-authorship network connecting the top 25 collaborators of Takuya Iyoda. A scholar is included among the top collaborators of Takuya Iyoda 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 Takuya Iyoda. Takuya Iyoda 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.
Iyoda, Takuya, Yunong Wang, Naoyuki Okita, et al.. (2024). Bioactive TNIIIA2 Sequence in Tenascin-C Is Responsible for Macrophage Foam Cell Transformation; Potential of FNIII14 Peptide Derived from Fibronectin in Suppression of Atherosclerotic Plaque Formation. International Journal of Molecular Sciences. 25(3). 1825–1825. 2 indexed citations
3.
Inouye, Sachiye, Takanori Kubo, Takafumi Miyamoto, et al.. (2022). Heat shock‐induced heme oxygenase‐1 expression in a mouse hepatoma cell line is dependent on HSF1 and modified by NRF2 and BACH1. Genes to Cells. 27(12). 719–730. 1 indexed citations
4.
Kawano, Yayoi, Viorica Patrulea, Emmanuelle Sublet, et al.. (2021). Wound Healing Promotion by Hyaluronic Acid: Effect of Molecular Weight on Gene Expression and In Vivo Wound Closure. Pharmaceuticals. 14(4). 301–301. 105 indexed citations
5.
Iyoda, Takuya, et al.. (2020). Biologically Active TNIIIA2 Region in Tenascin-C Molecule: A Major Contributor to Elicit Aggressive Malignant Phenotypes From Tumors/Tumor Stroma. Frontiers in Immunology. 11. 610096–610096. 14 indexed citations
6.
Yamamoto, Tetsuya, Takuya Iyoda, Chikako Kudo, et al.. (2019). Aggressive Progression in Glioblastoma Cells through Potentiated Activation of Integrin α5β1 by the Tenascin-C–Derived Peptide TNIIIA2. Molecular Cancer Therapeutics. 18(9). 1649–1658. 13 indexed citations
7.
Iyoda, Takuya, et al.. (2019). Acyclic Retinoid Combined With Tenascin-C-derived Peptide Reduces the Malignant Phenotype of Neuroblastoma Cells Through N-Myc Degradation. Anticancer Research. 39(7). 3487–3492. 4 indexed citations
8.
Iijima, Kazutoshi, et al.. (2017). Control of cell adhesion and proliferation utilizing polysaccharide composite film scaffolds. Colloids and Surfaces B Biointerfaces. 160. 228–237. 24 indexed citations
9.
Iyoda, Takuya, Toshiyuki Owaki, Junichi Taira, et al.. (2016). Coadministration of the FNIII14 Peptide Synergistically Augments the Anti-Cancer Activity of Chemotherapeutic Drugs by Activating Pro-Apoptotic Bim. PLoS ONE. 11(9). e0162525–e0162525. 11 indexed citations
10.
Tanaka, Rika, Yohei Saito, Sadahiro Kamiya, et al.. (2014). Tenascin-C-derived Peptide TNIIIA2 Highly Enhances Cell Survival and Platelet-derived Growth Factor (PDGF)-dependent Cell Proliferation through Potentiated and Sustained Activation of Integrin α5β1. Journal of Biological Chemistry. 289(25). 17699–17708. 34 indexed citations
11.
Mera, Toshiyuki, Takeshi Itoh, Shunbun Kita, et al.. (2013). Pretreatment of Donor Islets With the Na+/Ca2+ Exchanger Inhibitor Improves the Efficiency of Islet Transplantation. American Journal of Transplantation. 13(8). 2154–2160. 13 indexed citations
12.
13.
Hayashi, Ryo, Yohei Saito, Satoshi Osada, et al.. (2012). The cell adhesion and proliferation activities of a peptide derived from human tenascin-C are dependent on two Ile residues. Bioorganic & Medicinal Chemistry. 20(15). 4608–4613. 4 indexed citations
14.
Haga, Makoto, Yohei Saito, Toshiyuki Owaki, et al.. (2012). Eukaryotic Translation Elongation Factor 1A Induces Anoikis by Triggering Cell Detachment. Journal of Biological Chemistry. 287(19). 16037–16046. 25 indexed citations
15.
Yamamoto, Shintaro, Satomi Kita, Takuya Iyoda, Toshiki Yamada, & Takahiro Iwamoto. (2011). New Molecular Mechanisms for Cardiovascular Disease: Cardiac Hypertrophy and Cell-Volume Regulation. Journal of Pharmacological Sciences. 116(4). 343–349. 23 indexed citations
16.
Yamamoto, Shintaro, Satomi Kita, Takuya Iyoda, Toshiki Yamada, & Takahiro Iwamoto. (2011). Caveolin-3 regulates the Volume-Regulated Anion Channel in Mouse Ventricular Cells. Biophysical Journal. 100(3). 267a–267a. 3 indexed citations
17.
Yamamoto, Shintaro, Takuya Iyoda, Satomi Kita, Toshiki Yamada, & Takahiro Iwamoto. (2010). OSU-03012, a novel celecoxib derivative, induces cell swelling and shortens action potential duration in mouse ventricular cells. Biomedical Research. 31(6). 413–417. 2 indexed citations
18.
Yamamoto, Shintaro, Toshiki Yamada, Takuya Iyoda, Satomi Kita, & Takahiro Iwamoto. (2009). Role of Cl[-] channels and transporters in cardiac cell volume homeostasis. 36(4). 243–255. 2 indexed citations
19.
Iyoda, Takuya, et al.. (2006). Infiltrating neutrophils induce allospecific CTL in response to immunization with apoptotic cells via MCP-1 production. Journal of Leukocyte Biology. 81(2). 412–420. 22 indexed citations
20.
Iyoda, Takuya & Yoshiro Kobayashi. (2004). Involvement of MIP-2 and CXCR2 in neutrophil infiltration following injection of late apoptotic cells into the peritoneal cavity. APOPTOSIS. 9(4). 485–493. 17 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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