Takuya Furuta

2.7k total citations
101 papers, 1.7k citations indexed

About

Takuya Furuta is a scholar working on Molecular Biology, Genetics and Organic Chemistry. According to data from OpenAlex, Takuya Furuta has authored 101 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 30 papers in Genetics and 16 papers in Organic Chemistry. Recurrent topics in Takuya Furuta's work include Glioma Diagnosis and Treatment (29 papers), Lymphoma Diagnosis and Treatment (10 papers) and T-cell and Retrovirus Studies (6 papers). Takuya Furuta is often cited by papers focused on Glioma Diagnosis and Treatment (29 papers), Lymphoma Diagnosis and Treatment (10 papers) and T-cell and Retrovirus Studies (6 papers). Takuya Furuta collaborates with scholars based in Japan, United States and China. Takuya Furuta's co-authors include Mitsutoshi Nakada, Shabierjiang Jiapaer, Tomohiro Kitabayashi, Shingo Tanaka, Toshinari Minamoto, Yoshiyasu Fukuyama, Yoshinori Asakawa, Hemragul Sabit, K. Kai and Yutaka Hayashi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Takuya Furuta

93 papers receiving 1.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Takuya Furuta 719 414 348 272 268 101 1.7k
Deepa Sampath 1.5k 2.1× 318 0.8× 452 1.3× 608 2.2× 91 0.3× 68 2.2k
Chalet Tan 1.2k 1.6× 216 0.5× 507 1.5× 351 1.3× 132 0.5× 47 2.3k
Richard Söll 1.2k 1.7× 609 1.5× 128 0.4× 402 1.5× 490 1.8× 75 2.7k
Monica Lupi 913 1.3× 116 0.3× 220 0.6× 332 1.2× 151 0.6× 67 1.5k
Stefan Hart 1.4k 2.0× 413 1.0× 263 0.8× 1.0k 3.7× 137 0.5× 30 2.7k
Francesca Musumeci 861 1.2× 172 0.4× 110 0.3× 247 0.9× 577 2.2× 65 1.6k
Mian M. Alauddin 1.2k 1.6× 204 0.5× 375 1.1× 693 2.5× 457 1.7× 109 3.4k
Gillian Paine-Murrieta 1.4k 2.0× 119 0.3× 545 1.6× 323 1.2× 137 0.5× 18 2.1k
Izabela Fokt 1.4k 1.9× 162 0.4× 482 1.4× 811 3.0× 338 1.3× 65 2.4k
Malin Wickström 1.3k 1.8× 182 0.4× 420 1.2× 650 2.4× 149 0.6× 63 2.2k

Countries citing papers authored by Takuya Furuta

Since Specialization
Citations

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

Fields of papers citing papers by Takuya Furuta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takuya Furuta

This figure shows the co-authorship network connecting the top 25 collaborators of Takuya Furuta. A scholar is included among the top collaborators of Takuya Furuta 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 Takuya Furuta. Takuya Furuta 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.
Sugita, Yasuo, Takuya Furuta, Kenji Takahashi, et al.. (2025). Alzheimer's Disease With Cardiac Transthyretin Amyloidosis: A Clinicopathological Study of Autopsy Cases. Neuropathology. 45(4). e70011–e70011.
2.
Sugita, Yasuo, Takuya Furuta, Kenji Takahashi, et al.. (2024). Elevated expression of N‐myc downstream regulated gene 1 protein in glioblastomas reflects tumor angiogenesis and poor patient prognosis. Neuropathology. 44(6). 422–431. 1 indexed citations
3.
Furuta, Takuya, Hiroaki Miyoshi, Hideo Nakamura, et al.. (2023). Intratumoral thrombosis as a histological biomarker for predicting epidermal growth factor receptor alteration and poor prognosis in patients with glioblastomas. Journal of Neuro-Oncology. 164(3). 633–641. 5 indexed citations
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Tanaka, Ken, Hiroaki Miyoshi, Keisuke Kawamoto, et al.. (2023). Clinicopathological analysis of CD47 and signal regulatory protein alpha expression in myeloid sarcoma patients: CD47 expression is a favourable prognostic factor. Pathology. 56(1). 81–91. 2 indexed citations
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Matsumoto, Yoshihisa, Koichi Higaki, Takuya Furuta, et al.. (2022). Gliosarcoma with unusual glial components: Two case reports. Neuropathology. 42(4). 282–288. 1 indexed citations
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Arakawa, Fumiko, Hiroaki Miyoshi, Noriaki Yoshida, et al.. (2021). Expression of telomerase reverse transcriptase in peripheral T‐cell lymphoma. Cancer Medicine. 10(19). 6786–6794. 4 indexed citations
11.
Sugita, Yasuo, Go Hashimoto, Kenji Fukuda, et al.. (2021). Primary Nondural Central Nervous System Marginal ZoneB-Cell Lymphoma of the Mucosa-Associated Lymphoid Tissue Type Mimicking CNS Inflammatory Diseases. Journal of Neuropathology & Experimental Neurology. 80(8). 789–799. 3 indexed citations
12.
Furuta, Takuya, Jun-ichi Otogoto, Eiji Kondo, et al.. (2020). Favorite Music Mediates Pain-related Responses in the Anterior Cingulate Cortex and Skin Pain Thresholds. SHILAP Revista de lepidopterología.
13.
Furuta, Takuya, Yasuo Sugita, Satoru Komaki, et al.. (2020). The Multipotential of Leucine-Rich α-2 Glycoprotein 1 as a Clinicopathological Biomarker of Glioblastoma. Journal of Neuropathology & Experimental Neurology. 79(8). 873–879. 8 indexed citations
14.
Sugita, Yasuo, Takuya Furuta, Yuki Shiimura, et al.. (2020). Expression of the ghrelin/growth hormone secretagogue receptor axis and its functional role in promoting tumor growth in primary central nervous system lymphomas. Neuropathology. 40(3). 232–239. 6 indexed citations
15.
Sugita, Yasuo, Jun Masuoka, Kenji Takahashi, et al.. (2020). Primary central nervous system lymphomas associated with chronic inflammation: diagnostic pitfalls of central nervous system lymphomas. Brain Tumor Pathology. 37(4). 127–135. 5 indexed citations
16.
Kawahara, Yosuke, Takuya Furuta, Hemragul Sabit, et al.. (2019). Ligand-dependent EphB4 activation serves as an anchoring signal in glioma cells. Cancer Letters. 449. 56–65. 12 indexed citations
17.
Kitabayashi, Tomohiro, Yu Dong, Takuya Furuta, et al.. (2019). Identification of GSK3β inhibitor kenpaullone as a temozolomide enhancer against glioblastoma. Scientific Reports. 9(1). 10049–10049. 30 indexed citations
18.
Furuta, Takuya, Hiroaki Miyoshi, Satoru Komaki, et al.. (2018). Clinicopathological and genetic association between epithelioid glioblastoma and pleomorphic xanthoastrocytoma. Neuropathology. 38(3). 218–227. 29 indexed citations
19.
Sugita, Yasuo, Takuya Furuta, Koichi Ohshima, et al.. (2017). The perivascular microenvironment in Epstein–Barr virus positive primary central nervous system lymphoma: The role of programmed cell death 1 and programmed cell death ligand 1. Neuropathology. 38(2). 125–134. 20 indexed citations
20.
Domoto, Takahiro, Takuya Furuta, Hemragul Sabit, et al.. (2014). Glycogen Synthase Kinase 3β Sustains Invasion of Glioblastoma via the Focal Adhesion Kinase, Rac1, and c-Jun N-Terminal Kinase-Mediated Pathway. Molecular Cancer Therapeutics. 14(2). 564–574. 41 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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