Tomokazu Fukuda

9.4k total citations · 1 hit paper
233 papers, 4.3k citations indexed

About

Tomokazu Fukuda is a scholar working on Molecular Biology, Nuclear and High Energy Physics and Genetics. According to data from OpenAlex, Tomokazu Fukuda has authored 233 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Molecular Biology, 68 papers in Nuclear and High Energy Physics and 41 papers in Genetics. Recurrent topics in Tomokazu Fukuda's work include Nuclear physics research studies (47 papers), Quantum Chromodynamics and Particle Interactions (34 papers) and Particle physics theoretical and experimental studies (26 papers). Tomokazu Fukuda is often cited by papers focused on Nuclear physics research studies (47 papers), Quantum Chromodynamics and Particle Interactions (34 papers) and Particle physics theoretical and experimental studies (26 papers). Tomokazu Fukuda collaborates with scholars based in Japan, United States and United Kingdom. Tomokazu Fukuda's co-authors include Yuji Mishina, Emiko Isogai, T. Shimoda, M. Ishihara, Nobuhiro Kamiya, Paul B. Yu, T. Inamura, Hikaru Hiruta, Kengo Kuroda and Tohru Kiyono and has published in prestigious journals such as Physical Review Letters, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Tomokazu Fukuda

222 papers receiving 4.2k citations

Hit Papers

BMP type I receptor inhibition reduces heterotopic ossifi... 2008 2026 2014 2020 2008 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomokazu Fukuda Japan 31 1.5k 1.1k 583 444 412 233 4.3k
J. Wauters Belgium 33 1.0k 0.7× 916 0.8× 710 1.2× 235 0.5× 507 1.2× 107 3.5k
Deborah J. Henderson United Kingdom 42 2.9k 1.9× 1.6k 1.4× 787 1.3× 89 0.2× 782 1.9× 195 6.3k
Ichiro Katayama Japan 52 1.8k 1.2× 953 0.8× 454 0.8× 1.2k 2.8× 1.3k 3.1× 621 12.4k
E. Polli Italy 30 1.3k 0.9× 609 0.5× 214 0.4× 144 0.3× 160 0.4× 145 3.6k
Joel R. Garbow United States 44 1.5k 1.0× 666 0.6× 230 0.4× 77 0.2× 357 0.9× 187 6.9k
John A. McIntyre United States 36 525 0.3× 531 0.5× 231 0.4× 882 2.0× 427 1.0× 205 4.4k
T. Murakami Japan 37 1.9k 1.3× 490 0.4× 395 0.7× 106 0.2× 250 0.6× 247 5.8k
D. Riley United Kingdom 33 788 0.5× 697 0.6× 266 0.5× 37 0.1× 900 2.2× 167 4.1k
Tetsuo Hamada Japan 26 476 0.3× 987 0.9× 108 0.2× 114 0.3× 664 1.6× 124 3.3k
Andreas Schreiber Australia 32 2.2k 1.5× 814 0.7× 157 0.3× 69 0.2× 151 0.4× 134 5.0k

Countries citing papers authored by Tomokazu Fukuda

Since Specialization
Citations

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

Fields of papers citing papers by Tomokazu Fukuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomokazu Fukuda

This figure shows the co-authorship network connecting the top 25 collaborators of Tomokazu Fukuda. A scholar is included among the top collaborators of Tomokazu 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 Tomokazu Fukuda. Tomokazu 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
1.
Hatakeyama, Mayumi, et al.. (2025). Proliferation and differentiation of human dental pulp stem cells on phosphorylated cellulose nanofiber scaffolds. Carbohydrate Polymers. 359. 123593–123593. 1 indexed citations
2.
Bai, Lanlan, Tao Wu, Taku Ozaki, et al.. (2024). Detection of the nuclear translocation of androgen receptor using quantitative and automatic cell imaging analysis. Tissue and Cell. 93. 102631–102631.
3.
Addison, William N., Shinichi Mochizuki, Wataru Ariyoshi, et al.. (2024). Controlled cell proliferation and immortalization of human dental pulp stem cells with a doxycycline‐inducible expression system. Cell Biochemistry and Function. 42(4). e4064–e4064. 1 indexed citations
4.
Miki, Yasuo, Koichi Wakabayashi, Ken Itoh, et al.. (2023). Role of calpain-5 in cerebral ischemia and reperfusion injury. Biochimica et Biophysica Acta (BBA) - General Subjects. 1868(1). 130506–130506. 1 indexed citations
5.
Yasunaga, Genta, Soichiro Kumamoto, Lanlan Bai, et al.. (2023). Characterization of Common Minke Whale (Balaenoptera Acutorostrata) Cell Lines Immortalized with the Expression of Cell Cycle Regulators. Advanced Biology. 8(3). e2300227–e2300227.
6.
Ozaki, Taku, M. Morimoto, Eriko Sugano, et al.. (2021). Immortalization of cells derived from domestic dogs through expressing mutant cyclin-dependent kinase 4, cyclin D1, and telomerase reverse transcriptase. Cytotechnology. 74(1). 181–192. 2 indexed citations
7.
Fukuda, Tomokazu, et al.. (2020). Combinatorial expression of cell cycle regulators is more suitable for immortalization than oncogenic methods in dermal papilla cells. iScience. 24(1). 101929–101929. 13 indexed citations
8.
Sato, Suguru, et al.. (2020). Generation of mouse iPS cells using an inducible expression of transgenes via the cumate gene-switch. Analytical Biochemistry. 599. 113748–113748. 1 indexed citations
9.
Katayama, Masafumi, Tohru Kiyono, Kengo Kuroda, et al.. (2019). Rat-derived feeder cells immortalized by expression of mutant CDK4, cyclin D, and telomerase can support stem cell growth. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1866(5). 945–956. 9 indexed citations
10.
Fukuda, Tomokazu, Takahiro Eitsuka, Masanori Kurita, et al.. (2018). Expression of human mutant cyclin dependent kinase 4, Cyclin D and telomerase extends the life span but does not immortalize fibroblasts derived from loggerhead sea turtle (Caretta caretta). Scientific Reports. 8(1). 9229–9229. 17 indexed citations
12.
Urushihara, Yusuke, Koh Kawasumi, Satoru Endo, et al.. (2016). Analysis of Plasma Protein Concentrations and Enzyme Activities in Cattle within the Ex-Evacuation Zone of the Fukushima Daiichi Nuclear Plant Accident. PLoS ONE. 11(5). e0155069–e0155069. 26 indexed citations
14.
Schmitt, Manfred, Michael P. Walker, Randall G. Richards, et al.. (2006). Expression of heregulin by mouse mammary tumor cells: Role in activation of ErbB receptors. Molecular Carcinogenesis. 45(7). 490–505. 6 indexed citations
15.
Arai, Fumihito & Tomokazu Fukuda. (1998). Micromanipulation and Robotic Technology. TechConnect Briefs. 11–16. 2 indexed citations
16.
Okajima, Eijiro, Eijiro Okajima, Tomokazu Fukuda, et al.. (1996). Infrequent somatic alteration of p16/MTS1 in human primary superficial bladder cancers. Cancer Letters. 103(2). 227–231. 19 indexed citations
17.
Ajimura, S., H. Ejiri, A. Higashi, et al.. (1992). Polarization of Λ hyperons produced by the quasifree (π^{+},K^{+}) reaction on ^{12}C. Physical Review Letters. 68(14). 2137–2140. 12 indexed citations
18.
Johnston, K., E. V. Hungerford, T. Kishimoto, et al.. (1992). Search for a strangeness -1 dibaryon below the ΣNthreshold. Physical Review C. 46(5). R1573–R1576. 4 indexed citations
19.
Motojima, Seiji, et al.. (1989). [Three cases of food-dependent exercise-induced anaphylaxis].. PubMed. 38(3). 277–84. 14 indexed citations
20.
Ignoffo, C. M., et al.. (1980). Susceptibility of Aedes aegypti to four varieties of Bacillus thuringiensis.. Mosquito news. 40(2). 290–291. 5 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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