Junji Fukuda

5.8k total citations
161 papers, 4.6k citations indexed

About

Junji Fukuda is a scholar working on Biomedical Engineering, Molecular Biology and Surgery. According to data from OpenAlex, Junji Fukuda has authored 161 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Biomedical Engineering, 34 papers in Molecular Biology and 28 papers in Surgery. Recurrent topics in Junji Fukuda's work include 3D Printing in Biomedical Research (46 papers), Microfluidic and Capillary Electrophoresis Applications (27 papers) and Hair Growth and Disorders (24 papers). Junji Fukuda is often cited by papers focused on 3D Printing in Biomedical Research (46 papers), Microfluidic and Capillary Electrophoresis Applications (27 papers) and Hair Growth and Disorders (24 papers). Junji Fukuda collaborates with scholars based in Japan, United States and South Korea. Junji Fukuda's co-authors include Ali Khademhosseini, Hiroaki Suzuki, Tatsuto Kageyama, Róbert Langer, Judy Yeh, Kohji Nakazawa, George Eng, James Blumling, Takahisa Anada and Osamu Suzuki and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Applied Physics Letters.

In The Last Decade

Junji Fukuda

155 papers receiving 4.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junji Fukuda Japan 36 2.9k 966 872 816 544 161 4.6k
Soo‐Hong Lee South Korea 38 2.4k 0.8× 1.3k 1.3× 1.7k 1.9× 954 1.2× 291 0.5× 138 5.3k
Elizabeth G. Loboa United States 40 1.8k 0.6× 896 0.9× 1.2k 1.3× 1.3k 1.6× 478 0.9× 102 4.2k
Yonggang Lv China 36 2.0k 0.7× 806 0.8× 1.3k 1.5× 771 0.9× 396 0.7× 149 4.1k
Hansoo Park South Korea 40 3.5k 1.2× 1.3k 1.3× 2.5k 2.8× 915 1.1× 349 0.6× 129 6.8k
Jeroen Leijten Netherlands 41 2.5k 0.9× 854 0.9× 1.0k 1.2× 1.1k 1.3× 347 0.6× 120 4.9k
Sabine Neuß Germany 27 1.9k 0.7× 917 0.9× 1.2k 1.4× 745 0.9× 176 0.3× 83 4.8k
Howard W.T. Matthew United States 27 2.3k 0.8× 524 0.5× 2.9k 3.3× 1.2k 1.5× 324 0.6× 61 5.4k
Hyunjoon Kong United States 44 3.9k 1.3× 1.1k 1.2× 1.8k 2.1× 988 1.2× 700 1.3× 182 6.8k
Lay Poh Tan Singapore 46 3.7k 1.3× 681 0.7× 2.0k 2.3× 1.1k 1.3× 640 1.2× 116 6.3k
Xinqiao Jia United States 46 3.0k 1.0× 1.4k 1.5× 2.7k 3.1× 801 1.0× 1.4k 2.6× 124 7.7k

Countries citing papers authored by Junji Fukuda

Since Specialization
Citations

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

Fields of papers citing papers by Junji Fukuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junji Fukuda

This figure shows the co-authorship network connecting the top 25 collaborators of Junji Fukuda. A scholar is included among the top collaborators of Junji 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 Junji Fukuda. Junji 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.
Seo, Jieun, Jiwon Koh, Seock‐Ah Im, et al.. (2025). Cancer Manipulates Adjacent Adipose Tissue to Exploit Fatty Acids via HIF‐1α/CCL2/PPARα Axis: A Metabolic Circuit to Support Tumor Progression. Advanced Science. 13(3). e15186–e15186.
2.
Hamano, Sayuri, et al.. (2025). Human iPSC-derived cerebral organoids reveal oxytocin-mediated protection against amyloid-β pathology. Regenerative Therapy. 30. 259–267. 1 indexed citations
3.
Kageyama, Tatsuto, et al.. (2025). Preparation of hair follicle germs using centrifugal forces for hair regenerative medicine. Journal of Bioscience and Bioengineering. 139(6). 445–450.
4.
Nie, Xiaolei, et al.. (2024). Large-Scale Preparation of Hair Follicle Germs Using a Microfluidic Device. ACS Biomaterials Science & Engineering. 10(2). 998–1005. 5 indexed citations
5.
Seo, Jieun, et al.. (2023). Hypoxia inducible factor-1α promotes trichogenic gene expression in human dermal papilla cells. Scientific Reports. 13(1). 1478–1478. 10 indexed citations
6.
Jeong, Do‐Won, Jong‐Wan Park, Jiyoung Kim, et al.. (2023). Palmitoylation-driven PHF2 ubiquitination remodels lipid metabolism through the SREBP1c axis in hepatocellular carcinoma. Nature Communications. 14(1). 6370–6370. 39 indexed citations
7.
Seo, Jieun, et al.. (2023). Exosomes for hair growth and regeneration. Journal of Bioscience and Bioengineering. 137(1). 1–8. 18 indexed citations
8.
Maruo, Shoji, et al.. (2023). Cryopreservation of engineered hair follicle germs for hair regenerative medicine. Journal of Bioscience and Bioengineering. 136(3). 246–252. 1 indexed citations
9.
Seo, Jieun, et al.. (2022). Effects of the PI3K/Akt signaling pathway on the hair inductivity of human dermal papilla cells in hair beads. Journal of Bioscience and Bioengineering. 134(1). 55–61. 23 indexed citations
10.
Kageyama, Tatsuto, et al.. (2022). Bioprinting of hair follicle germs for hair regenerative medicine. Acta Biomaterialia. 165. 50–59. 24 indexed citations
11.
Seo, Jieun, Do‐Won Jeong, Jong‐Wan Park, et al.. (2020). Fatty-acid-induced FABP5/HIF-1 reprograms lipid metabolism and enhances the proliferation of liver cancer cells. Communications Biology. 3(1). 638–638. 145 indexed citations
12.
Kang, Yunqing, Naoto Mochizuki, Ali Khademhosseini, Junji Fukuda, & Yunzhi Yang. (2014). Engineering a vascularized collagen-β-tricalcium phosphate graft using an electrochemical approach. Acta Biomaterialia. 11. 449–458. 47 indexed citations
13.
Mochizuki, Naoto, et al.. (2012). Cell-Adhesive and Cell-Repulsive Zwitterionic Oligopeptides for Micropatterning and Rapid Electrochemical Detachment of Cells. Tissue Engineering Part A. 19(1-2). 290–298. 28 indexed citations
14.
Fukuda, Junji, et al.. (2012). A microfluidic microbial culture device for rapid determination of the minimum inhibitory concentration of antibiotics. The Analyst. 138(4). 1000–1000. 26 indexed citations
15.
Sakai, Yusuke, Tomoko Tanaka, Junji Fukuda, & Kohji Nakazawa. (2009). Alkoxyresorufin O-dealkylase assay using a rat hepatocyte spheroid microarray. Journal of Bioscience and Bioengineering. 109(4). 395–399. 15 indexed citations
16.
Suzuki, Hiroaki, et al.. (2008). Rapid Measurement and Prediction of Bacterial Contamination in Milk Using an Oxygen Electrode. Foodborne Pathogens and Disease. 6(2). 187–192. 4 indexed citations
17.
Hashimoto, Masatoshi, et al.. (2007). Enzyme electrode formed by evaporative concentration and its performance characterization. Biosensors and Bioelectronics. 22(12). 3154–3160. 7 indexed citations
18.
Khademhosseini, Ali, George Eng, Judy Yeh, et al.. (2006). Micromolding of photocrosslinkable hyaluronic acid for cell encapsulation and entrapment. Journal of Biomedical Materials Research Part A. 79A(3). 522–532. 179 indexed citations
19.
Fukuda, Junji, Yusuke Sakai, & Kohji Nakazawa. (2005). Novel hepatocyte culture system developed using microfabrication and collagen/polyethylene glycol microcontact printing. Biomaterials. 27(7). 1061–1070. 129 indexed citations
20.
Anada, Takahisa, Masami Mizu, Kazuya Koumoto, et al.. (2005). Galactose-PEG dual conjugation of β-(1→3)-d-glucan schizophyllan for antisense oligonucleotides delivery to enhance the cellular uptake. Biomaterials. 27(8). 1626–1635. 23 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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