Kodai Machida

522 total citations
31 papers, 366 citations indexed

About

Kodai Machida is a scholar working on Molecular Biology, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Kodai Machida has authored 31 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 7 papers in Genetics and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Kodai Machida's work include RNA and protein synthesis mechanisms (13 papers), Viral Infections and Immunology Research (5 papers) and RNA Research and Splicing (5 papers). Kodai Machida is often cited by papers focused on RNA and protein synthesis mechanisms (13 papers), Viral Infections and Immunology Research (5 papers) and RNA Research and Splicing (5 papers). Kodai Machida collaborates with scholars based in Japan, United States and Mexico. Kodai Machida's co-authors include Hiroaki Imataka, Tominari Kobayashi, Mamiko Masutani, Yasushi Kawata, Satoshi Mikami, Kunihiro Hongo, Tomohiro Mizobata, Takuhiro Ito, Shigeyuki Yokoyama and Hideki Taguchi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Kodai Machida

27 papers receiving 364 citations

Peers

Kodai Machida

GENET

CCM

Einav Tayeb-Fligelman Israel

Esa‐Pekka Kumpula Finland

Puneet Juneja United States

Edgar Morales‐Ríos Mexico

Nattakan Sukomon United States

Giulia Paci Germany

Virginie Dubosclard France

Theodora Myrto Perdikari United States

Giovani Pinton Tomaleri United States

Einav Tayeb-Fligelman Israel

Kodai Machida

401 ×1.4

44 ×0.7

47 ×1.1

GENET

23 ×0.6

40 ×1.1

CCM

Citations per year, relative to Kodai Machida Kodai Machida (= 1×) peers Einav Tayeb-Fligelman

Countries citing papers authored by Kodai Machida

Since Specialization

Citations

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

Fields of papers citing papers by Kodai Machida

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kodai Machida

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Machida, Kodai, et al.. (2025). Dissecting the mechanism of NOP56 GGCCUG repeat-associated non-AUG translation using cell-free translation systems. Journal of Biological Chemistry. 301(4). 108360–108360. 1 indexed citations

Iwasaki, W., Kazuhiro Kashiwagi, Ayako Sakamoto, et al.. (2025). Structural insights into the role of eIF3 in translation mediated by the HCV IRES. Proceedings of the National Academy of Sciences. 122(49). e2505538122–e2505538122.

Chadani, Yuhei, Makoto Hirata, Yuta Takahashi, et al.. (2025). eIF2D promotes 40S ribosomal subunit recycling during intrinsic ribosome destabilization. Nucleic Acids Research. 53(22).

Machida, Kodai, et al.. (2025). Sporogen-AO1 inhibits eukaryotic translation elongation. The Journal of Antibiotics. 78(5). 288–294.

Machida, Kodai, et al.. (2023). Reconstitution of C9orf72 GGGGCC repeat-associated non-AUG translation with purified human translation factors. Scientific Reports. 13(1). 22826–22826. 3 indexed citations

Chadani, Yuhei, et al.. (2022). Nascent peptide-induced translation discontinuation in eukaryotes impacts biased amino acid usage in proteomes. Nature Communications. 13(1). 7451–7451. 12 indexed citations

Machida, Kodai, Kentaro Noi, Masaki Okumura, et al.. (2021). Distinct roles and actions of protein disulfide isomerase family enzymes in catalysis of nascent-chain disulfide bond formation. iScience. 24(4). 102296–102296. 10 indexed citations

Nobuta, Risa, et al.. (2020). eIF4G-driven translation initiation of downstream ORFs in mammalian cells. Nucleic Acids Research. 48(18). 10441–10455. 5 indexed citations

Daiko, Yusuke, et al.. (2018). Palm‐Sized Ag⁺ Ion Emission Gun Operated at Room Temperature in Non‐Vacuum Atmosphere. Advanced Engineering Materials. 20(9). 6 indexed citations

10.

Niwa, Tatsuya, Shintaro Minami, Kazuhiro Takemoto, et al.. (2018). Large-scale aggregation analysis of eukaryotic proteins reveals an involvement of intrinsically disordered regions in protein folding. Scientific Reports. 8(1). 678–678. 27 indexed citations

11.

Daiko, Yusuke, Satoshi Mizutani, Kodai Machida, et al.. (2017). H+ emission under room temperature and non-vacuum atmosphere from a sol–gel-derived nanoporous emitter. Journal of Sol-Gel Science and Technology. 83(2). 252–258. 10 indexed citations

12.

Machida, Kodai, et al.. (2016). Cell-free analysis of polyQ-dependent protein aggregation and its inhibition by chaperone proteins. Journal of Biotechnology. 239. 1–8. 6 indexed citations

13.

Machida, Kodai & Hiroaki Imataka. (2014). Production methods for viral particles. Biotechnology Letters. 37(4). 753–760. 18 indexed citations

14.

Kobayashi, Tominari, Kodai Machida, & Hiroaki Imataka. (2013). Human Cell Extract-Derived Cell-Free Systems for Virus Synthesis. Methods in molecular biology. 1118. 149–156. 8 indexed citations

15.

Masutani, Mamiko, Kodai Machida, Tominari Kobayashi, Shigeyuki Yokoyama, & Hiroaki Imataka. (2012). Reconstitution of eukaryotic translation initiation factor 3 by co-expression of the subunits in a human cell-derived in vitro protein synthesis system. Protein Expression and Purification. 87(1). 5–10. 10 indexed citations

16.

Kobayashi, Tominari, Kodai Machida, Mamiko Masutani, et al.. (2012). Purification and visualization of encephalomyocarditisvirus synthesized by an in vitro protein expression system derived from mammalian cell extract. Biotechnology Letters. 35(3). 309–314. 7 indexed citations

17.

Kobayashi, Tominari, Yusuke Nakamura, Satoshi Mikami, et al.. (2011). Synthesis of encephalomyocarditis virus in a cell-free system: from DNA to RNA virus in one tube. Biotechnology Letters. 34(1). 67–73. 14 indexed citations

18.

Machida, Kodai, Mamiko Masutani, Tominari Kobayashi, et al.. (2011). Reconstitution of the human chaperonin CCT by co-expression of the eight distinct subunits in mammalian cells. Protein Expression and Purification. 82(1). 61–69. 18 indexed citations

19.

Nakamura, T., Koichi Uegaki, Junji Morita, et al.. (2010). Crystal structure of the cambialistic superoxide dismutase from Aeropyrum pernix K1 - insights into the enzyme mechanism and stability. FEBS Journal. 278(4). 598–609. 19 indexed citations

20.

Machida, Kodai, et al.. (2008). Hydrophilic Residues 526KNDAAD531 in the Flexible C-terminal Region of the Chaperonin GroEL Are Critical for Substrate Protein Folding within the Central Cavity. Journal of Biological Chemistry. 283(11). 6886–6896. 33 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.

Explore authors with similar magnitude of impact