Go Masuda

782 total citations
35 papers, 632 citations indexed

About

Go Masuda is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Go Masuda has authored 35 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 11 papers in Molecular Biology and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Go Masuda's work include Cancer Cells and Metastasis (8 papers), Metastasis and carcinoma case studies (6 papers) and Gastric Cancer Management and Outcomes (6 papers). Go Masuda is often cited by papers focused on Cancer Cells and Metastasis (8 papers), Metastasis and carcinoma case studies (6 papers) and Gastric Cancer Management and Outcomes (6 papers). Go Masuda collaborates with scholars based in Japan and Slovenia. Go Masuda's co-authors include Kosei Hirakawa, Masaichi Ohira, Masakazu Yashiro, Hiroaki Kasashima, Haruhito Kinoshita, Tamami Morisaki, Tatsunari Fukuoka, Katsunobu Sakurai, Naoshi Kubo and Yuichiro Miki and has published in prestigious journals such as PLoS ONE, Cancer Research and Scientific Reports.

In The Last Decade

Go Masuda

29 papers receiving 630 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Go Masuda Japan 15 354 215 188 137 114 35 632
Haruhito Kinoshita Japan 11 286 0.8× 209 1.0× 148 0.8× 116 0.8× 79 0.7× 31 527
Songtao Lai China 11 314 0.9× 251 1.2× 168 0.9× 105 0.8× 90 0.8× 21 645
Dianyun Ren China 16 419 1.2× 261 1.2× 202 1.1× 110 0.8× 141 1.2× 25 708
Xueqing Yao China 13 360 1.0× 210 1.0× 230 1.2× 118 0.9× 103 0.9× 51 635
Wenxing Qin China 17 437 1.2× 171 0.8× 283 1.5× 95 0.7× 95 0.8× 30 780
Xianshuo Cheng China 12 244 0.7× 250 1.2× 211 1.1× 133 1.0× 76 0.7× 26 552
Xinguo Zhu China 15 410 1.2× 222 1.0× 301 1.6× 145 1.1× 70 0.6× 35 713
Chiara Bazzichetto Italy 14 402 1.1× 330 1.5× 162 0.9× 149 1.1× 111 1.0× 23 727
Xiaoqian Jing China 19 442 1.2× 185 0.9× 221 1.2× 105 0.8× 94 0.8× 32 680

Countries citing papers authored by Go Masuda

Since Specialization
Citations

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

Fields of papers citing papers by Go Masuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Go Masuda

This figure shows the co-authorship network connecting the top 25 collaborators of Go Masuda. A scholar is included among the top collaborators of Go Masuda 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 Go Masuda. Go Masuda 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.
2.
Yashiro, Masakazu, Kenji Kuroda, Go Masuda, et al.. (2021). Clinical difference between fibroblast growth factor receptor 2 subclass, type IIIb and type IIIc, in gastric cancer. Scientific Reports. 11(1). 4698–4698. 17 indexed citations
3.
Togano, Shingo, Masakazu Yashiro, Go Masuda, et al.. (2021). Gastric cancer stem cells survive in stress environments via their autophagy system. Scientific Reports. 11(1). 20664–20664. 19 indexed citations
4.
Tendo, Masashige, Naoki Tani, Go Masuda, et al.. (2019). [A Case of Curative Resection of Locally Advanced Gastric Cancer after Nutrition Therapy and Chemotherapy with S-1 and Oxaliplatin Using Elemental Diet Tube].. PubMed. 46(13). 2422–2424.
5.
Okuno, Tomohisa, Masakazu Yashiro, Go Masuda, et al.. (2019). Establishment of a New Scirrhous Gastric Cancer Cell Line with FGFR2 Overexpression, OCUM-14. Annals of Surgical Oncology. 26(4). 1093–1102. 9 indexed citations
6.
Miki, Yuichiro, Masakazu Yashiro, Tomohisa Okuno, et al.. (2018). CD9-positive exosomes from cancer-associated fibroblasts stimulate the migration ability of scirrhous-type gastric cancer cells. British Journal of Cancer. 118(6). 867–877. 70 indexed citations
7.
Masuda, Go, et al.. (2018). Relationship between Process Conditions and Mechanical Properties of Unidirectional Prepregs Prepared by Melt Impregnation. Journal of the Japan Society for Composite Materials. 44(5). 166–172.
8.
Kasashima, Hiroaki, Masakazu Yashiro, Tomohisa Okuno, et al.. (2018). Significance of the Lysyl Oxidase Members Lysyl Oxidase Like 1, 3, and 4 in Gastric Cancer. Digestion. 98(4). 238–248. 46 indexed citations
9.
Masuda, Go, et al.. (2018). [A Case of Treated with Laparoscopic Surgery for Intussusception Up to the Splenic Flexion Region Due to Cecum Cancer].. PubMed. 45(3). 504–506. 2 indexed citations
10.
Kasashima, Hiroaki, Masakazu Yashiro, Hirohisa Nakamae, et al.. (2017). Clinicopathologic significance of the CXCL1-CXCR2 axis in the tumor microenvironment of gastric carcinoma. PLoS ONE. 12(6). e0178635–e0178635. 33 indexed citations
11.
12.
Kasashima, Hiroaki, Masakazu Yashiro, Hirohisa Nakamae, et al.. (2016). CXCL1–Chemokine (C-X-C Motif) Receptor 2 Signaling Stimulates the Recruitment of Bone Marrow–Derived Mesenchymal Cells into Diffuse-Type Gastric Cancer Stroma. American Journal Of Pathology. 186(11). 3028–3039. 43 indexed citations
13.
Nakata, Bunzo, Masashige Tendo, Ken‐ichi Nakahara, et al.. (2016). Additional surgical resection after endoscopic mucosal dissection for early gastric cancer: A medium-sized hospital's experience. International Journal of Surgery. 36(Pt A). 335–341. 10 indexed citations
14.
Kinoshita, Haruhito, Masakazu Yashiro, Tatsunari Fukuoka, et al.. (2015). Diffuse-type gastric cancer cells switch their driver pathways from FGFR2 signaling to SDF1/CXCR4 axis in hypoxic tumor microenvironments. Carcinogenesis. 36(12). bgv134–bgv134. 28 indexed citations
15.
Kasashima, Hiroaki, Masakazu Yashiro, Haruhito Kinoshita, et al.. (2015). Lysyl oxidase is associated with the epithelial–mesenchymal transition of gastric cancer cells in hypoxia. Gastric Cancer. 19(2). 431–442. 65 indexed citations
16.
Kasashima, Hiroaki, Masakazu Yashiro, Hirohisa Nakamae, et al.. (2015). Bone marrow-derived stromal cells are associated with gastric cancer progression. British Journal of Cancer. 113(3). 443–452. 21 indexed citations
17.
Masuda, Go, et al.. (2014). A Case of Granulocyte-colony Stimulating Factor Producing Colon Cancer. Nihon Rinsho Geka Gakkai Zasshi (Journal of Japan Surgical Association). 75(4). 998–1004.
18.
Morisaki, Tamami, Masakazu Yashiro, Anna Kakehashi, et al.. (2014). Comparative Proteomics Analysis of Gastric Cancer Stem Cells. PLoS ONE. 9(11). e110736–e110736. 35 indexed citations
19.
Kasashima, Hiroaki, Masakazu Yashiro, Haruhito Kinoshita, et al.. (2014). Lysyl oxidase-like 2 (LOXL2) from stromal fibroblasts stimulates the progression of gastric cancer. Cancer Letters. 354(2). 438–446. 71 indexed citations
20.
Takagaki, Keiichi, et al.. (2012). A case of perforated primary small intestinal cancer. Nihon Rinsho Geka Gakkai Zasshi (Journal of Japan Surgical Association). 73(5). 1282–1287. 1 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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