Yoichi Furukawa

16.6k total citations · 3 hit papers
183 papers, 9.6k citations indexed

About

Yoichi Furukawa is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Yoichi Furukawa has authored 183 papers receiving a total of 9.6k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Molecular Biology, 54 papers in Oncology and 32 papers in Cancer Research. Recurrent topics in Yoichi Furukawa's work include Cancer-related gene regulation (38 papers), Wnt/β-catenin signaling in development and cancer (27 papers) and Genetic factors in colorectal cancer (24 papers). Yoichi Furukawa is often cited by papers focused on Cancer-related gene regulation (38 papers), Wnt/β-catenin signaling in development and cancer (27 papers) and Genetic factors in colorectal cancer (24 papers). Yoichi Furukawa collaborates with scholars based in Japan, United States and India. Yoichi Furukawa's co-authors include Tatsuhiko Tsunoda, Yusuke Nakamura, Yusuke Nakamura, Yusuke Nakamura, Seiji Satoh, Toyomasa Katagiri, Ryuji Hamamoto, Tatsushi Kato, Fábio Pittella Silva and Yoshio Yamaoka and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Yoichi Furukawa

174 papers receiving 9.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

AXIN1 mutations in hepatocellular carcinomas, and growth suppression in cancer cells by virus-mediated transfer of AXIN1

2000 792 citations Seiji Satoh, Yoichi Furukawa et al. profile →
SMYD3 encodes a histone methyltransferase involved in the proliferation of cancer cells

2004 579 citations Ryuji Hamamoto, Yoichi Furukawa et al. profile →
Blocking PD-L1–PD-1 improves senescence surveillance and ageing phenotypes

2022 278 citations Teh‐Wei Wang, Yoshikazu Johmura et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yoichi Furukawa Japan	48	6.5k	2.3k	1.6k	1.1k	964	183	9.6k
Won Sang Park South Korea	55	6.3k 1.0×	2.6k 1.1×	2.3k 1.4×	1.0k 1.0×	932 1.0×	217	9.0k
Sug Hyung Lee South Korea	52	6.4k 1.0×	2.6k 1.1×	2.2k 1.4×	1.1k 1.0×	654 0.7×	267	9.2k
Giuseppe Viglietto Italy	48	5.4k 0.8×	2.3k 1.0×	1.6k 1.0×	687 0.6×	841 0.9×	150	8.2k
Yutaka Kondo Japan	54	6.7k 1.0×	1.7k 0.8×	2.2k 1.4×	590 0.5×	695 0.7×	158	9.5k
Vundavalli V. Murty United States	40	4.4k 0.7×	1.9k 0.8×	1.3k 0.8×	939 0.9×	631 0.7×	109	7.2k
Roberta Maestro Italy	42	4.9k 0.8×	2.9k 1.3×	1.5k 0.9×	914 0.8×	599 0.6×	121	8.5k
Yataro Daigo Japan	62	7.8k 1.2×	3.0k 1.3×	2.1k 1.3×	1.6k 1.5×	700 0.7×	175	11.4k
Peter C. Lucas United States	43	4.2k 0.6×	1.8k 0.8×	2.4k 1.5×	1.7k 1.6×	1.2k 1.2×	163	8.4k
Lopa Mishra United States	49	3.8k 0.6×	2.7k 1.2×	1.5k 1.0×	634 0.6×	1.4k 1.4×	169	7.8k
Yuji Hinoda Japan	56	6.5k 1.0×	3.0k 1.3×	2.7k 1.7×	1.8k 1.7×	965 1.0×	272	10.3k

Countries citing papers authored by Yoichi Furukawa

Since Specialization

Citations

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

Fields of papers citing papers by Yoichi Furukawa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoichi Furukawa

This figure shows the co-authorship network connecting the top 25 collaborators of Yoichi Furukawa. A scholar is included among the top collaborators of Yoichi Furukawa 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 Yoichi Furukawa. Yoichi Furukawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Hashimoto, Satoru, et al.. (2025). Crosstalk between the ribosome quality control‐associated E3 ubiquitin ligases LTN1 and RNF10. FEBS Letters.

Xia, Yang, Yunzhong Nie, Yang Li, et al.. (2025). Human pluripotent stem cell-derived fetal hepatic stellate cells promote vascularization and maturation in liver organoids. Developmental Cell. 61(1). 208–223.e8.

Yamaguchi, Kiyoshi, et al.. (2024). Wnt/β-catenin signaling regulates amino acid metabolism through the suppression of CEBPA and FOXA1 in liver cancer cells. Communications Biology. 7(1). 510–510. 7 indexed citations

Patel, Jai N., Chen Jiang, Kouros Owzar, et al.. (2024). Pharmacogenetic and clinical risk factors for bevacizumab-related gastrointestinal hemorrhage in prostate cancer patients treated on CALGB 90401 (Alliance). The Pharmacogenomics Journal. 24(2). 6–6.

Wu, Wenwen, Jing Zhu, Naoe Taira Nihira, et al.. (2024). Ribosomal S6 kinase (RSK) plays a critical role in DNA damage response via the phosphorylation of histone lysine demethylase KDM4B. Breast Cancer Research. 26(1). 146–146. 2 indexed citations

Watanabe, Miki, Miho Uematsu, Kosuke Fujimoto, et al.. (2024). Targeted Lysis of Staphylococcus hominis Linked to Axillary Osmidrosis Using Bacteriophage-Derived Endolysin. Journal of Investigative Dermatology. 144(11). 2577–2581.

Yanagisawa, K, Yasuharu Ueno, Takanori Konishi, et al.. (2024). A pancreatic cancer organoid incorporating macrophages reveals the correlation between the diversity of tumor-associated macrophages and cancer cell survival. Biomaterials. 314. 122838–122838. 8 indexed citations

Washimi, Kota, Rika Kasajima, Shinya Sato, et al.. (2023). Histological markers, sickle-shaped blood vessels, myxoid area, and infiltrating growth pattern help stratify the prognosis of patients with myxofibrosarcoma/undifferentiated sarcoma. Scientific Reports. 13(1). 6744–6744. 2 indexed citations

Takahashi, Kenta, Yasuharu Ueno, Yoichi Furukawa, et al.. (2023). Incorporation of human iPSC-derived stromal cells creates a pancreatic cancer organoid with heterogeneous cancer-associated fibroblasts. Cell Reports. 42(11). 113420–113420. 16 indexed citations

10.

Kawachi, Kae, Xiaoyan Tang, Rika Kasajima, et al.. (2023). Genetic analysis of low-grade adenosquamous carcinoma of the breast progressing to high-grade metaplastic carcinoma. Breast Cancer Research and Treatment. 202(3). 563–573. 3 indexed citations

11.

Wang, Teh‐Wei, Yoshikazu Johmura, Narumi Suzuki, et al.. (2022). Blocking PD-L1–PD-1 improves senescence surveillance and ageing phenotypes. Nature. 611(7935). 358–364. 278 indexed citations breakdown →

12.

Innocenti, Federico, Alexander B. Sibley, Amy S. Etheridge, et al.. (2020). Genomic Analysis of Germline Variation Associated with Survival of Patients with Colorectal Cancer Treated with Chemotherapy Plus Biologics in CALGB/SWOG 80405 (Alliance). Clinical Cancer Research. 27(1). 267–275. 13 indexed citations

13.

Konishi, Hiroki, Rui Yamaguchi, Kiyoshi Yamaguchi, Yoichi Furukawa, & Seiya Imoto. (2020). Halcyon: an accurate basecaller exploiting an encoder–decoder model with monotonic attention. Bioinformatics. 37(9). 1211–1217. 14 indexed citations

14.

Yamaguchi, Kiyoshi, Eigo Shimizu, Rui Yamaguchi, et al.. (2019). Development of an MSI-positive colon tumor with aberrant DNA methylation in a PPAP patient. Journal of Human Genetics. 64(8). 729–740. 7 indexed citations

15.

Sato, Ryota, Takuma Shibata, Yu Tanaka, et al.. (2017). Requirement of glycosylation machinery in TLR responses revealed by CRISPR/Cas9 screening. International Immunology. 29(8). 347–355. 9 indexed citations

16.

Ingle, James N., Fang Xie, Matthew J. Ellis, et al.. (2016). Genetic Polymorphisms in the Long Noncoding RNA MIR2052HG Offer a Pharmacogenomic Basis for the Response of Breast Cancer Patients to Aromatase Inhibitor Therapy. Cancer Research. 76(23). 7012–7023. 43 indexed citations

17.

Obama, Kazutaka, Seiji Satoh, Ryuji Hamamoto, et al.. (2008). Enhanced Expression of RAD51 Associating Protein-1 Is Involved in the Growth of Intrahepatic Cholangiocarcinoma Cells. Clinical Cancer Research. 14(5). 1333–1339. 40 indexed citations

18.

Kunizaki, Masaki, Ryuji Hamamoto, Fábio Pittella Silva, et al.. (2007). The Lysine 831 of Vascular Endothelial Growth Factor Receptor 1 Is a Novel Target of Methylation by SMYD3. Cancer Research. 67(22). 10759–10765. 135 indexed citations

19.

Jinawath, Natini, Yoichi Furukawa, & Yusuke Nakamura. (2004). Identification of NOL8, a nucleolar protein containing an RNA recognition motif (RRM), which was overexpressed in diffuse‐type gastric cancer. Cancer Science. 95(5). 430–435. 10 indexed citations

20.

Kihara, Chikashi, Yoichi Furukawa, Hideaki Yamana, et al.. (2000). Mutations in Zinc‐binding Domains of p53 as a Prognostic Marker of Esophageal‐cancer Patients. Japanese Journal of Cancer Research. 91(2). 190–198. 31 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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