Yuya Maruyama

1.1k total citations · 1 hit paper
17 papers, 695 citations indexed

About

Yuya Maruyama is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Yuya Maruyama has authored 17 papers receiving a total of 695 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Oncology. Recurrent topics in Yuya Maruyama's work include Gastric Cancer Management and Outcomes (3 papers), interferon and immune responses (2 papers) and Magnetic and transport properties of perovskites and related materials (2 papers). Yuya Maruyama is often cited by papers focused on Gastric Cancer Management and Outcomes (3 papers), interferon and immune responses (2 papers) and Magnetic and transport properties of perovskites and related materials (2 papers). Yuya Maruyama collaborates with scholars based in Japan. Yuya Maruyama's co-authors include Shinpei Kato, Takuya Azumi, Yuki Kitsukawa, Abraham Monrroy, Yusuke Fujii, Manato Hirabayashi, Hirofumi Akamatsu, Yanhua Zong, Koji Fujita and Hidenori Shinno and has published in prestigious journals such as Immunity, Scientific Reports and Journal of materials research/Pratt's guide to venture capital sources.

In The Last Decade

Yuya Maruyama

12 papers receiving 673 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.

Autoware on Board: Enabling Autonomous Vehicles with Embedded Systems

2018 396 citations Shinpei Kato, Yuya Maruyama et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuya Maruyama Japan	6	204	191	175	162	159	17	695
Max Mauro Dias Santos Brazil	14	102 0.5×	199 1.0×	176 1.0×	66 0.4×	142 0.9×	69	613
Abraham Monrroy Japan	6	223 1.1×	232 1.2×	63 0.4×	80 0.5×	81 0.5×	10	574
Manato Hirabayashi Japan	6	195 1.0×	196 1.0×	70 0.4×	85 0.5×	82 0.5×	16	496
Jian Ouyang China	12	115 0.6×	117 0.6×	429 2.5×	239 1.5×	77 0.5×	33	775
Mingsong Lv China	17	126 0.6×	75 0.4×	291 1.7×	352 2.2×	44 0.3×	62	892
Christian Buckl Germany	16	98 0.5×	95 0.5×	317 1.8×	354 2.2×	87 0.5×	69	821
Jacopo Panerati Canada	11	95 0.5×	63 0.3×	189 1.1×	40 0.2×	265 1.7×	26	753
Wontaek Lim South Korea	14	284 1.4×	346 1.8×	505 2.9×	371 2.3×	191 1.2×	32	986
Guihe Qin China	13	142 0.7×	100 0.5×	105 0.6×	55 0.3×	96 0.6×	90	509
Yongguo Mei United States	6	303 1.5×	53 0.3×	290 1.7×	43 0.3×	153 1.0×	8	649

Countries citing papers authored by Yuya Maruyama

Since Specialization

Citations

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

Fields of papers citing papers by Yuya Maruyama

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuya Maruyama

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

All Works

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17 of 17 papers shown

Suzuki, Hiroya, Hirokazu Okayama, Shotaro Nakajima, et al.. (2025). GALNT7 Stratifies dMMR/MSI Colorectal Cancer into Distinct Molecular Subsets Associated with Prognosis and PD-L1 Expression. Cancer Research Communications. 5(9). 1530–1540.

Nakajima, Shotaro, Katsuharu Saito, Yuya Maruyama, et al.. (2025). Activation of the tumor cell-intrinsic STING pathway induced by Fusobacterium nucleatum is associated with poor prognosis in esophageal cancer patients. Esophagus. 22(2). 239–249. 2 indexed citations

Maruyama, Yuya, Motonobu Saito, Shotaro Nakajima, et al.. (2025). Lenvatinib suppress FGF19–FGFR4 signaling to enhance antitumor immune response in gastric cancer. Gastric Cancer. 28(3). 397–408. 1 indexed citations

Hasegawa, Makoto, Zenichiro Saze, Hiroya Suzuki, et al.. (2025). The Impact of Worsening Nutritional Status in Neoadjuvant Chemotherapy on Postoperative Outcomes in Esophageal Cancer. In Vivo. 39(5). 2842–2853.

Nakajima, Shotaro, Hirokazu Okayama, Takuro Matsumoto, et al.. (2025). Downregulation of cGAS/STING expression in tumor cells by cancer-associated fibroblasts in colorectal cancer. Scientific Reports. 15(1). 19234–19234. 3 indexed citations

Matsumoto, Takuro, Shinji Ohki, Yuya Maruyama, et al.. (2023). Systemic inflammation score as a preoperative prognostic factor for patients with pT2–T4 resectable gastric cancer: a retrospective study. BMC Surgery. 23(1). 8–8. 3 indexed citations

Kodama, T., et al.. (2021). High-Precision Mobile Robotic Manipulator for Reconfigurable Manufacturing Systems. International Journal of Automation Technology. 15(5). 651–660. 12 indexed citations

Azumi, Takuya, Yuya Maruyama, & Shinpei Kato. (2020). ROS-lite: ROS Framework for NoC-Based Embedded Many-Core Platform. 4375–4382. 21 indexed citations

Kato, Shinpei, Yuya Maruyama, Manato Hirabayashi, et al.. (2018). Autoware on Board: Enabling Autonomous Vehicles with Embedded Systems. 287–296. 396 indexed citations breakdown →

10.

Maruyama, Yuya, Shinpei Kato, & Takuya Azumi. (2017). Exploring Scalable Data Allocation and Parallel Computing on NoC-Based Embedded Many Cores. 225–228. 20 indexed citations

11.

Maruyama, Yuya, Shinpei Kato, & Takuya Azumi. (2016). Exploring the performance of ROS2. 1–10. 219 indexed citations

12.

Kuwahara, Hiroyuki, et al.. (2016). Multi-objective optimization of magnetic sensor with conductor plate for rail wheel detection. 1–1.

13.

Akiyama, Taishin, Yusuke Shimo, Hiromi Yanai, et al.. (2013). The Tumor Necrosis Factor Family Receptors RANK and CD40 Cooperatively Establish the Thymic Medullary Microenvironment and Self-Tolerance. Immunity. 39(4). 796–796.

14.

Tanaka, Katsuhisa, Koji Fujita, Yuya Maruyama, et al.. (2013). Ferromagnetism induced by lattice volume expansion and amorphization in EuTiO₃ thin films. Journal of materials research/Pratt's guide to venture capital sources. 28(8). 1031–1041. 15 indexed citations

15.

Tanaka, Katsuhisa, Koji Fujita, Yuya Maruyama, et al.. (2012). Effect of Substrate Strain and Interface on Magnetic Properties of EuTiO₃ Thin Film. MRS Proceedings. 1454. 149–159. 2 indexed citations

16.

Maruyama, Yuya, et al.. (2005). 1841 Effect of Heat Treatment on Mechanical Properties of Polylactide Resin. The proceedings of the JSME annual meeting. 2005.1(0). 453–454. 1 indexed citations

17.

Maruyama, Yuya, et al.. (2004). The effect of the crystallization on creep behavior for glass fiber reinforced Polyamide. 2004.12(0). 125–126.

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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