Daisuke Fukuda

510 total citations
46 papers, 392 citations indexed

About

Daisuke Fukuda is a scholar working on Molecular Biology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Daisuke Fukuda has authored 46 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Surgery and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Daisuke Fukuda's work include Helicobacter pylori-related gastroenterology studies (7 papers), Eosinophilic Esophagitis (5 papers) and Gastric Cancer Management and Outcomes (5 papers). Daisuke Fukuda is often cited by papers focused on Helicobacter pylori-related gastroenterology studies (7 papers), Eosinophilic Esophagitis (5 papers) and Gastric Cancer Management and Outcomes (5 papers). Daisuke Fukuda collaborates with scholars based in Japan, United Kingdom and Mexico. Daisuke Fukuda's co-authors include Christine L. Willis, Zhongshu Song, Thomas J. Simpson, Annabel C. Murphy, Joanne Hothersall, Russell J. Cox, Christopher M. Thomas, Mutsuo Nakajima, Yuko Akazawa and Nahoki Kuraya and has published in prestigious journals such as Angewandte Chemie International Edition, PLoS ONE and Journal of the American Ceramic Society.

In The Last Decade

Daisuke Fukuda

44 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daisuke Fukuda Japan 13 172 123 71 63 52 46 392
Ipsita Mohanty United States 14 169 1.0× 99 0.8× 24 0.3× 97 1.5× 51 1.0× 40 461
T Horiuchi Japan 11 195 1.1× 22 0.2× 47 0.7× 43 0.7× 17 0.3× 20 351
Louise Thomas United Kingdom 10 288 1.7× 93 0.8× 18 0.3× 47 0.7× 136 2.6× 14 550
Igor Brikun United States 11 337 2.0× 124 1.0× 15 0.2× 29 0.5× 30 0.6× 12 461
Alan J. Cameron New Zealand 12 318 1.8× 55 0.4× 24 0.3× 18 0.3× 153 2.9× 35 555
Przemysław Kołodziej Poland 14 113 0.7× 59 0.5× 52 0.7× 11 0.2× 89 1.7× 32 534
Nina Bionda United States 14 288 1.7× 70 0.6× 42 0.6× 26 0.4× 117 2.3× 28 510
F Szczebara Mali 6 287 1.7× 32 0.3× 145 2.0× 23 0.4× 4 0.1× 6 517
Chikako Okada Japan 14 222 1.3× 41 0.3× 109 1.5× 14 0.2× 27 0.5× 25 487
Kurt Throckmorton United States 9 211 1.2× 135 1.1× 97 1.4× 30 0.5× 15 0.3× 11 407

Countries citing papers authored by Daisuke Fukuda

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Fukuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daisuke Fukuda

This figure shows the co-authorship network connecting the top 25 collaborators of Daisuke Fukuda. A scholar is included among the top collaborators of Daisuke 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 Daisuke Fukuda. Daisuke 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
2.
Yamaguchi, Naoyuki, Jingjing Wei, Tatsuo Inamine, et al.. (2024). The C/C Genotype of rs1231760 in RGS2 Is a Risk Factor for the Progression of H. pylori-Positive Atrophic Gastritis by Increasing RGS2 Expression. Diagnostics. 14(22). 2563–2563. 1 indexed citations
3.
Yamaguchi, Naoyuki, Daisuke Fukuda, Ken Ohnita, et al.. (2024). Autophagy-Related Gene ATG7 Polymorphism Could Potentially Serve as a Biomarker of the Progression of Atrophic Gastritis. Journal of Clinical Medicine. 13(2). 629–629. 2 indexed citations
4.
Fukuda, Daisuke, Yuji Aso, & Cirilo Nolasco-Hipólito. (2023). Genome and fermentation analyses of Enterococcus faecalis DB-5 isolated from Japanese Mandarin orange: An assessment of potential application in lactic acid production. Journal of Bioscience and Bioengineering. 136(1). 20–27. 1 indexed citations
5.
Yamaguchi, Naoyuki, Hajime Isomoto, Tatsuo Inamine, et al.. (2023). Polymorphism in autophagy-related genes LRP1 and CAPZA1 may promote gastric mucosal atrophy. Genes and Environment. 45(1). 18–18. 4 indexed citations
7.
Sugihara, Takaaki, Ken Ohnita, Daisuke Fukuda, et al.. (2022). Pyloric Incompetence Associated with Helicobactor pylori Infection and Correlated to the Severity of Atrophic Gastritis. Diagnostics. 12(3). 572–572. 2 indexed citations
8.
Fukuda, Daisuke, et al.. (2017). Simultaneous improvement of exhaust emissions and fuel consumption by optimization of combustion chamber shape of a diesel engine. International Journal of Engine Research. 18(5-6). 412–421. 7 indexed citations
9.
Akazawa, Yuko, Daisuke Fukuda, & Yutaka Fukuda. (2016). Vonoprazan-based therapy forHelicobacter pylorieradication: experience and clinical evidence. Therapeutic Advances in Gastroenterology. 9(6). 845–852. 29 indexed citations
10.
Nanashima, Atsushi, Takafumi Abo, Masaki Kunizaki, et al.. (2014). Predictive parameters of intraoperative blood loss in patients who underwent pancreatectomy.. PubMed. 60(125). 1217–21. 8 indexed citations
11.
Kuraya, Nahoki, et al.. (2013). Pedopeptins, novel inhibitors of LPS: Taxonomy of producing organism, fermentation, isolation, physicochemical properties and structural elucidation. The Journal of Antibiotics. 67(3). 243–251. 14 indexed citations
12.
Murphy, Annabel C., Daisuke Fukuda, Zhongshu Song, et al.. (2011). Engineered Thiomarinol Antibiotics Active against MRSA Are Generated by Mutagenesis and Mutasynthesis of Pseudoalteromonas SANK73390. Angewandte Chemie International Edition. 50(14). 3271–3274. 29 indexed citations
13.
Fukuda, Daisuke, Anthony S. Haines, Zhongshu Song, et al.. (2011). A Natural Plasmid Uniquely Encodes Two Biosynthetic Pathways Creating a Potent Anti-MRSA Antibiotic. PLoS ONE. 6(3). e18031–e18031. 55 indexed citations
15.
Fukuda, Daisuke, Hiroaki Ikematsu, M. Kojima, et al.. (2010). Early oncocytic adenocarcinoma of the transverse colon. Endoscopy. 42(S 02). E261–E262. 1 indexed citations
16.
Tosukhowong, Amonlaya, Jiro Nakayama, Yoshimitsu Mizunoe, et al.. (2005). Reconstitution and function of Tetragenococcus halophila chaperonin 60 tetradecamer. Journal of Bioscience and Bioengineering. 99(1). 30–37. 5 indexed citations
17.
Sugimoto, Shinya, et al.. (2003). Effect of heterologous expression of molecular chaperone DnaK from Tetragenococcus halophilus on salinity adaptation of Escherichia coli. Journal of Bioscience and Bioengineering. 96(2). 129–133. 16 indexed citations
18.
Fukuda, Daisuke, et al.. (2003). Effect of Heterologous Expression of Molecular Chaperone DnaK from Tetragenococcus halophilus on Salinity Adaptation of Escherichia coli. Journal of Bioscience and Bioengineering. 96(2). 129–133. 1 indexed citations
19.
Fukuda, Daisuke, et al.. (2002). ThegroESLOperon of the Halophilic Lactic Acid BacteriumTetragenococcus halophila. Bioscience Biotechnology and Biochemistry. 66(5). 1176–1180. 4 indexed citations
20.
Mizuno, Kouhei, et al.. (2000). Purification and Gene Cloning of Catalase from Staphylococcus warneri ISK-1.. Food Science and Technology Research. 6(4). 324–329. 4 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

Rankless by CCL
2026