Toshiaki Koda

1.7k total citations
56 papers, 1.4k citations indexed

About

Toshiaki Koda is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Toshiaki Koda has authored 56 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 23 papers in Immunology and 10 papers in Genetics. Recurrent topics in Toshiaki Koda's work include Immune Cell Function and Interaction (12 papers), Immunotherapy and Immune Responses (9 papers) and T-cell and B-cell Immunology (8 papers). Toshiaki Koda is often cited by papers focused on Immune Cell Function and Interaction (12 papers), Immunotherapy and Immune Responses (9 papers) and T-cell and B-cell Immunology (8 papers). Toshiaki Koda collaborates with scholars based in Japan, United States and Germany. Toshiaki Koda's co-authors include Mariano Barbacid, Mitsuaki Kakinuma, Takashi Nishimura, Shin‐Ichiro Nishimura, Diego Pulido, Juan Modolell, Sonsoles Campuzano, Masashi Sekimoto, D. Conway and Marimo Sato and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.

In The Last Decade

Toshiaki Koda

52 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Toshiaki Koda Japan 23 687 485 262 234 164 56 1.4k
Fumi Shibata Japan 14 912 1.3× 520 1.1× 207 0.8× 235 1.0× 113 0.7× 22 1.6k
Hyeseon Cho United States 21 1.1k 1.7× 413 0.9× 281 1.1× 231 1.0× 139 0.8× 30 1.8k
Keith Davidson United Kingdom 14 1.0k 1.5× 665 1.4× 385 1.5× 149 0.6× 128 0.8× 14 1.7k
Gernot Maier Germany 11 1.0k 1.5× 434 0.9× 249 1.0× 177 0.8× 109 0.7× 24 1.5k
Armin Volz Germany 19 797 1.2× 671 1.4× 246 0.9× 88 0.4× 163 1.0× 35 2.0k
T Kojima Japan 8 962 1.4× 584 1.2× 170 0.6× 390 1.7× 214 1.3× 12 1.8k
C. Thomas United Kingdom 21 850 1.2× 353 0.7× 464 1.8× 192 0.8× 66 0.4× 43 1.7k
Stephen Gschmeissner United Kingdom 9 924 1.3× 262 0.5× 216 0.8× 124 0.5× 125 0.8× 9 1.2k
Maria Grazia Malabarba Italy 25 773 1.1× 458 0.9× 486 1.9× 576 2.5× 98 0.6× 32 1.7k
Graciana Diez‐Roux Italy 11 775 1.1× 486 1.0× 159 0.6× 98 0.4× 114 0.7× 11 1.3k

Countries citing papers authored by Toshiaki Koda

Since Specialization
Citations

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

Fields of papers citing papers by Toshiaki Koda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toshiaki Koda

This figure shows the co-authorship network connecting the top 25 collaborators of Toshiaki Koda. A scholar is included among the top collaborators of Toshiaki Koda 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 Toshiaki Koda. Toshiaki Koda 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.
Koda, Toshiaki, Shigeko Kijimoto‐Ochiai, Satoshi Uemura, & Jin‐ichi Inokuchi. (2009). Specific expression of Neu2 type B in mouse thymus and the existence of a membrane-bound form in COS cells. Biochemical and Biophysical Research Communications. 387(4). 729–735. 14 indexed citations
2.
Sekimoto, Masashi, Takemasa Tsuji, Junko Matsuzaki, et al.. (2003). Functional expression of the TrkC gene, encoding a high affinity receptor for NT-3, in antigen-specific T helper type 2 (Th2) cells. Immunology Letters. 88(3). 221–226. 30 indexed citations
3.
Chamoto, Kenji, Akemi Kosaka, Takemasa Tsuji, et al.. (2003). Critical role of the Th1/Tc1 circuit for the generation of tumor‐specific CTL during tumor eradication in vivo by Th1‐cell therapy. Cancer Science. 94(10). 924–928. 55 indexed citations
4.
Sato, Marimo, Kenji Chamoto, Takemasa Tsuji, et al.. (2001). Th1 Cytokine-Conditioned Bone Marrow-Derived Dendritic Cells Can Bypass the Requirement for Th Functions During the Generation of CD8+ CTL. The Journal of Immunology. 167(7). 3687–3691. 13 indexed citations
5.
Takaoka, Akiko, Yoshitaka Tanaka, Takemasa Tsuji, et al.. (2001). A Critical Role for Mouse CXC Chemokine(s) in Pulmonary Neutrophilia During Th Type 1-Dependent Airway Inflammation. The Journal of Immunology. 167(4). 2349–2353. 54 indexed citations
6.
Kotani, Kiyoshi, Asato Kuroiwa, Tamao Saito, et al.. (2001). Cloning, Chromosomal Mapping, and Characteristic 5′-UTR Sequence of Murine Cytosolic Sialidase. Biochemical and Biophysical Research Communications. 286(2). 250–258. 26 indexed citations
7.
Ohta, Akio, Masashi Sekimoto, Marimo Sato, et al.. (2000). Indispensable Role for TNF-α and IFN-γ at the Effector Phase of Liver Injury Mediated by Th1 Cells Specific to Hepatitis B Virus Surface Antigen. The Journal of Immunology. 165(2). 956–961. 59 indexed citations
8.
Yahata, Takashi, Akio Ohta, Masashi Sekimoto, et al.. (2000). Interleukin-4-dependent induction of preproenkephalin in antigen-specific T helper-type 2 (Th2) cells. Journal of Neuroimmunology. 105(2). 103–108. 10 indexed citations
9.
Kitamura, Hidemitsu, Akio Ohta, Masashi Sekimoto, et al.. (2000). α-Galactosylceramide Induces Early B-Cell Activation through IL-4 Production by NKT Cells. Cellular Immunology. 199(1). 37–42. 121 indexed citations
10.
Ohta, Akio, Masashi Sekimoto, Marimo Sato, et al.. (2000). Potentiation of antitumor effect of NKT cell ligand, α-galactosylceramide by combination with IL-12 on lung metastasis of malignant melanoma cells1. Clinical & Experimental Metastasis. 18(2). 147–153. 36 indexed citations
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Koda, Toshiaki, et al.. (1998). Genomic organization and cDNA sequence of the rat RT1-DOb gene. Immunogenetics. 48(1). 67–72. 2 indexed citations
15.
Nojima, Takayuki, T. Ishibashi, Toshiaki Koda, et al.. (1995). Comparison of the type‐2 insulin‐like growth factor receptor in normal osteoblasts and osteosarcoma‐derived osteoblast‐like cells. Journal of Orthopaedic Research®. 13(5). 643–648. 4 indexed citations
16.
Hasan, Shahid, Toshiaki Koda, & M. Kakinuma. (1994). An upstream NF-Y-binding site is required for transcriptional activation from the hst promoter in F9 embryonal carcinoma cells.. Journal of Biological Chemistry. 269(40). 25042–25048. 26 indexed citations
17.
Koda, Toshiaki & Mitsuaki Kakinuma. (1993). Molecular cloning of a cDNA encoding a novel small GTP‐binding protein. FEBS Letters. 328(1-2). 21–24. 8 indexed citations
18.
Nakamura, Koji, Toshiaki Koda, Mitsuaki Kakinuma, et al.. (1992). Cell cycle dependent gene expressions and activities of protein phosphatases PP1 and PP2A in mouse NIH3T3 fibroblasts. Biochemical and Biophysical Research Communications. 187(1). 507–514. 17 indexed citations
19.
Pulido, Diego, Sonsoles Campuzano, Toshiaki Koda, Juan Modolell, & Mariano Barbacid. (1992). Dtrk, a Drosophila gene related to the trk family of neurotrophin receptors, encodes a novel class of neural cell adhesion molecule.. The EMBO Journal. 11(2). 391–404. 126 indexed citations
20.
Koda, Toshiaki. (1988). [ret gene from a human stomach cancer].. PubMed. 63(6). 913–24. 10 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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