Kosuke Fujishima

1.4k total citations
53 papers, 879 citations indexed

About

Kosuke Fujishima is a scholar working on Molecular Biology, Ecology and Astronomy and Astrophysics. According to data from OpenAlex, Kosuke Fujishima has authored 53 papers receiving a total of 879 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 12 papers in Ecology and 11 papers in Astronomy and Astrophysics. Recurrent topics in Kosuke Fujishima's work include RNA and protein synthesis mechanisms (26 papers), Genomics and Phylogenetic Studies (16 papers) and RNA modifications and cancer (14 papers). Kosuke Fujishima is often cited by papers focused on RNA and protein synthesis mechanisms (26 papers), Genomics and Phylogenetic Studies (16 papers) and RNA modifications and cancer (14 papers). Kosuke Fujishima collaborates with scholars based in Japan, United States and Czechia. Kosuke Fujishima's co-authors include Akio Kanai, Masaru Tomita, Junichi Sugahara, Lynn J. Rothschild, Asako Sato, Klára Hlouchová, Stephen D. Fried, Ivan G. Paulino‐Lima, Nozomu Yachie and Chad Saltikov and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Kosuke Fujishima

48 papers receiving 860 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kosuke Fujishima Japan 19 668 169 140 58 41 53 879
Liam M. Longo United States 18 602 0.9× 140 0.8× 43 0.3× 60 1.0× 11 0.3× 38 750
Michael J. Hohn United States 17 1.5k 2.2× 42 0.2× 533 3.8× 185 3.2× 16 0.4× 27 1.8k
Évelyne Lebrun France 11 509 0.8× 73 0.4× 114 0.8× 25 0.4× 4 0.1× 18 774
S. Gáspár Hungary 10 200 0.3× 34 0.2× 91 0.7× 71 1.2× 43 1.0× 28 464
H. D. Mennigmann Germany 12 283 0.4× 104 0.6× 92 0.7× 73 1.3× 27 0.7× 30 502
A. Beck United States 10 333 0.5× 66 0.4× 23 0.2× 84 1.4× 7 0.2× 13 428
N. Munakata Japan 13 314 0.5× 14 0.1× 63 0.5× 90 1.6× 25 0.6× 22 772
Dorothée Murat France 12 691 1.0× 67 0.4× 72 0.5× 113 1.9× 3 0.1× 16 827
Wailap Victor Ng Taiwan 18 960 1.4× 19 0.1× 488 3.5× 155 2.7× 15 0.4× 35 1.2k
M.I. Siponen France 17 563 0.8× 8 0.0× 110 0.8× 71 1.2× 32 0.8× 24 789

Countries citing papers authored by Kosuke Fujishima

Since Specialization
Citations

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

Fields of papers citing papers by Kosuke Fujishima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kosuke Fujishima

This figure shows the co-authorship network connecting the top 25 collaborators of Kosuke Fujishima. A scholar is included among the top collaborators of Kosuke Fujishima 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 Kosuke Fujishima. Kosuke Fujishima 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
2.
Shibuya, Takazo, et al.. (2024). Prebiotic Nucleoside Phosphorylation in a Simulated Deep-Sea Supercritical Carbon Dioxide–Water Two-Phase Environment. Astrobiology. 24(12). 1151–1165. 1 indexed citations
3.
Jia, Tony Z., Anna N. Khusnutdinova, Alexander F. Yakunin, et al.. (2024). Amino Acid Self-Regenerating Cell-Free Protein Synthesis System that Feeds on PLA Plastics, CO2, Ammonium, and α-Ketoglutarate. ACS Catalysis. 14(10). 7696–7706. 7 indexed citations
4.
Yamaguchi, Tomoko, et al.. (2024). The interplay between peptides and RNA is critical for protoribosome compartmentalization and stability. Nucleic Acids Research. 52(20). 12689–12700. 3 indexed citations
5.
Fujishima, Kosuke, et al.. (2024). Chemo-enzymatic Synthesis of Coenzyme A Using Copurified Enzymes from Probiotic Escherichia coli Nissle. ACS Sustainable Chemistry & Engineering. 12(27). 10068–10074. 1 indexed citations
6.
Li, Yamei, Hiroyuki Kurokawa, Yasuhito Sekine, et al.. (2023). Aqueous breakdown of aspartate and glutamate to n-ω-amino acids on the parent bodies of carbonaceous chondrites and asteroid Ryugu. Science Advances. 9(50). eadh7845–eadh7845. 8 indexed citations
7.
Watanabe, Hidenori, et al.. (2023). De Novo Single-Stranded RNA-Binding Peptides Discovered by Codon-Restricted mRNA Display. Biomacromolecules. 25(1). 355–365. 2 indexed citations
8.
Dzmitruk, Volha, Anneliese M. Faustino, Michal Lebl, et al.. (2023). Early Selection of the Amino Acid Alphabet Was Adaptively Shaped by Biophysical Constraints of Foldability. Journal of the American Chemical Society. 145(9). 5320–5329. 30 indexed citations
9.
Wang, Po‐Hsiang, et al.. (2023). One-Pot De Novo Synthesis of [4Fe-4S] Proteins Using a Recombinant SUF System under Aerobic Conditions. ACS Synthetic Biology. 12(10). 2887–2896. 7 indexed citations
10.
Jia, Tony Z., et al.. (2022). AbGradCon 2021: lessons in digital meetings, international collaboration, and interdisciplinarity in astrobiology. International Journal of Astrobiology. 21(6). 497–523.
11.
Fried, Stephen D., et al.. (2022). Peptides before and during the nucleotide world: an origins story emphasizing cooperation between proteins and nucleic acids. Journal of The Royal Society Interface. 19(187). 20210641–20210641. 41 indexed citations
12.
Tran, Linh T., Jérémie Gaillard, Wenfei Li, et al.. (2022). Structure and dynamics of Odinarchaeota tubulin and the implications for eukaryotic microtubule evolution. Science Advances. 8(12). eabm2225–eabm2225. 17 indexed citations
13.
Kuruma, Yutetsu, Satoshi Tamaki, Ryo Mizuuchi, et al.. (2021). PURE mRNA display and cDNA display provide rapid detection of core epitope motif via high‐throughput sequencing. Biotechnology and Bioengineering. 118(4). 1702–1715. 11 indexed citations
14.
Fujishima, Kosuke, Szymon Dziomba, Hajime Yano, et al.. (2019). The non-destructive separation of diverse astrobiologically relevant organic molecules by customizable capillary zone electrophoresis and monolithic capillary electrochromatography. International Journal of Astrobiology. 18(6). 562–574. 6 indexed citations
15.
Patil, Advait, et al.. (2019). A new approach to biomining: Bioengineering surfaces for metal recovery from aqueous solutions. Scientific Reports. 9(1). 16422–16422. 14 indexed citations
16.
Wang, Po‐Hsiang, Kosuke Fujishima, Samuel Berhanu, et al.. (2019). A Bifunctional Polyphosphate Kinase Driving the Regeneration of Nucleoside Triphosphate and Reconstituted Cell-Free Protein Synthesis. ACS Synthetic Biology. 9(1). 36–42. 27 indexed citations
17.
Vecchioni, Simon, Emily Toomey, Huy Le Nguyen, et al.. (2019). Construction and characterization of metal ion-containing DNA nanowires for synthetic biology and nanotechnology. Scientific Reports. 9(1). 6942–6942. 28 indexed citations
18.
Shibuya, Takazo, Yoshinori Takano, Kosuke Fujishima, et al.. (2019). Peptide Synthesis under the Alkaline Hydrothermal Conditions on Enceladus. ACS Earth and Space Chemistry. 3(11). 2559–2568. 26 indexed citations
19.
Hamashima, Kiyofumi, Kosuke Fujishima, Takeshi Masuda, et al.. (2011). Nematode-specific tRNAs that decode an alternative genetic code for leucine. Nucleic Acids Research. 40(8). 3653–3662. 14 indexed citations
20.
Fujishima, Kosuke, et al.. (2003). A New Method for Characterizing Functionally-Unknown Proteins Using Specific Amino Acid Frequency and Periodicity at the Proteome Level. Proceedings Genome Informatics Workshop/Genome informatics. 14. 526–527.

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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