Koji Fukuda

3.5k total citations
86 papers, 2.5k citations indexed

About

Koji Fukuda is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Koji Fukuda has authored 86 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Oncology, 39 papers in Molecular Biology and 39 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Koji Fukuda's work include Lung Cancer Treatments and Mutations (22 papers), Lung Cancer Research Studies (10 papers) and Cancer Cells and Metastasis (7 papers). Koji Fukuda is often cited by papers focused on Lung Cancer Treatments and Mutations (22 papers), Lung Cancer Research Studies (10 papers) and Cancer Cells and Metastasis (7 papers). Koji Fukuda collaborates with scholars based in Japan, United States and China. Koji Fukuda's co-authors include Kounosuke Watabe, Fei Xing, Misako Watabe, Shigeru Hirota, Puspa R. Pandey, Hiroshi Okuda, Aya Kobayashi, Sudha K. Pai, Yin‐Yuan Mo and Andrew Wilber and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Koji Fukuda

77 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Koji Fukuda Japan 23 1.4k 974 783 614 198 86 2.5k
An Wouters Belgium 27 1.1k 0.8× 965 1.0× 497 0.6× 388 0.6× 138 0.7× 73 2.2k
Guocan Wang United States 20 1.6k 1.2× 862 0.9× 641 0.8× 542 0.9× 126 0.6× 33 2.6k
Nils Brünner Denmark 29 1.2k 0.9× 1.0k 1.1× 972 1.2× 322 0.5× 194 1.0× 96 2.4k
Yanyuan Wu United States 25 1.3k 0.9× 987 1.0× 635 0.8× 314 0.5× 276 1.4× 64 2.3k
Minhua Zheng China 28 1.6k 1.1× 716 0.7× 771 1.0× 350 0.6× 276 1.4× 92 2.6k
Seema Sethi United States 33 1.9k 1.3× 957 1.0× 1.2k 1.6× 614 1.0× 148 0.7× 90 3.1k
Toru Kumagai Japan 32 1.1k 0.8× 1.4k 1.4× 741 0.9× 1.4k 2.3× 245 1.2× 156 3.1k
Zunyan Dai United States 27 2.2k 1.6× 665 0.7× 900 1.1× 290 0.5× 142 0.7× 45 3.0k
Xin Xu China 26 1.4k 1.0× 758 0.8× 709 0.9× 281 0.5× 177 0.9× 84 2.3k
Roble Bedolla United States 21 1.1k 0.8× 574 0.6× 360 0.5× 523 0.9× 175 0.9× 36 1.8k

Countries citing papers authored by Koji Fukuda

Since Specialization
Citations

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

Fields of papers citing papers by Koji Fukuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koji Fukuda

This figure shows the co-authorship network connecting the top 25 collaborators of Koji Fukuda. A scholar is included among the top collaborators of Koji 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 Koji Fukuda. Koji 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.
Noguchi, Atsuko, Koji Fukuda, Kazuhiro Shimazu, et al.. (2025). Familial adenomatous polyposis family with clustering of psychiatric disorders. Japanese Journal of Clinical Oncology. 55(4). 435–439. 1 indexed citations
2.
3.
Shimazu, Kazuhiro, et al.. (2022). Two Cases of ALK-Altered Cancers of Unknown Primary Diagnosed by Immunohistochemistry. SHILAP Revista de lepidopterología. 15(1). 21–26.
4.
5.
Tanimoto, Azusa, Shingo Matsumoto, Shinji Takeuchi, et al.. (2020). Proteasome Inhibition Overcomes ALK-TKI Resistance in ALK -Rearranged/ TP53 -Mutant NSCLC via Noxa Expression. Clinical Cancer Research. 27(5). 1410–1420. 38 indexed citations
6.
Wang, Rong, Tadaaki Yamada, Sachiko Arai, et al.. (2019). Distribution and Activity of Lenvatinib in Brain Tumor Models of Human Anaplastic Thyroid Cancer Cells in Severe Combined Immune Deficient Mice. Molecular Cancer Therapeutics. 18(5). 947–956. 20 indexed citations
7.
Takeuchi, Shinji, Tetsunari Hase, Shinobu Shimizu, et al.. (2019). Phase I study of vorinostat with gefitinib in BIM deletion polymorphism/epidermal growth factor receptor mutation double‐positive lung cancer. Cancer Science. 111(2). 561–570. 28 indexed citations
8.
Fukuda, Koji, Shinji Takeuchi, Sachiko Arai, et al.. (2019). Epithelial-to-Mesenchymal Transition Is a Mechanism of ALK Inhibitor Resistance in Lung Cancer Independent of ALK Mutation Status. Cancer Research. 79(7). 1658–1670. 79 indexed citations
9.
Nishiyama, Akihiro, Tadaaki Yamada, Kenji Kita, et al.. (2018). Foretinib Overcomes Entrectinib Resistance Associated with the NTRK1 G667C Mutation in NTRK1 Fusion–Positive Tumor Cells in a Brain Metastasis Model. Clinical Cancer Research. 24(10). 2357–2369. 22 indexed citations
10.
Fukuda, Koji, Taichi Yoshida, Kazuhiro Shimazu, et al.. (2017). Effect of anti-PD-1 antibody, nivolumab on early gastric cancer. International Cancer Conference Journal. 6(3). 98–103. 1 indexed citations
11.
Tanimoto, Azusa, Shinji Takeuchi, Sachiko Arai, et al.. (2016). Histone Deacetylase 3 Inhibition Overcomes BIM Deletion Polymorphism–Mediated Osimertinib Resistance in EGFR- Mutant Lung Cancer. Clinical Cancer Research. 23(12). 3139–3149. 71 indexed citations
12.
Shimazu, Kazuhiro, Koji Fukuda, Taichi Yoshida, Masahiro Inoue, & Hiroyuki Shibata. (2016). High circulating tumor cell concentrations in a specific subtype of gastric cancer with diffuse bone metastasis at diagnosis. World Journal of Gastroenterology. 22(26). 6083–6083. 10 indexed citations
13.
Yamada, Tadaaki, Joseph M. Amann, Koji Fukuda, et al.. (2015). Akt Kinase-Interacting Protein 1 Signals through CREB to Drive Diffuse Malignant Mesothelioma. Cancer Research. 75(19). 4188–4197. 17 indexed citations
14.
Xing, Fei, Aya Kobayashi, Hiroshi Okuda, et al.. (2013). Reactive astrocytes promote the metastatic growth of breast cancer stem‐like cells by activating Notch signalling in brain. EMBO Molecular Medicine. 5(3). 384–396. 146 indexed citations
15.
Ae, Michiyoshi, et al.. (2011). STANDARD MOTION OF SPRINT RUNNING FOR MALE ELITE AND STUDENT SPRINTERS. ISBS - Conference Proceedings Archive. 1(1). 2 indexed citations
16.
Okuda, Hiroshi, Aya Kobayashi, Bo Xia, et al.. (2011). Hyaluronan Synthase HAS2 Promotes Tumor Progression in Bone by Stimulating the Interaction of Breast Cancer Stem–Like Cells with Macrophages and Stromal Cells. Cancer Research. 72(2). 537–547. 160 indexed citations
17.
Ito, Akira, et al.. (2009). Mid-phase sprinting movements of Tyson Gay and Asafa Powell in the 100-m race during the 2007 IAAF World Championships in Athletics (日本陸連科学委員会研究報告 第8巻(2009) 陸上競技の医科学サポート研究 REPORT2008). 5. 93–96. 2 indexed citations
18.
Fukuda, Koji, et al.. (2000). Angle Control of Powered Ankle Orthosis Using Ultrasonic Motor. Transactions of the Institute of Systems Control and Information Engineers. 13(12). 560–565. 1 indexed citations
19.
Hasegawa, Takashi, et al.. (1998). Comparison between seismic performance of U.S. steel perimeter and Japanese spatial moment resisting frames : Part1 Model buildings and structural perfomance. 1998. 903–904.
20.
Maeda, Yasuhiro, Koji Fukuda, Kiyohiro Irimajiri, et al.. (1982). A Case of Hepatoma Associated with Vibrio vulnfcus Bacteremia and its Bacteriological findings. Kansenshogaku zasshi. 56(4). 335–340. 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.

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