Masaki Goto

1.2k total citations
76 papers, 925 citations indexed

About

Masaki Goto is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Oncology. According to data from OpenAlex, Masaki Goto has authored 76 papers receiving a total of 925 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Pulmonary and Respiratory Medicine, 12 papers in Surgery and 11 papers in Oncology. Recurrent topics in Masaki Goto's work include Lung Cancer Diagnosis and Treatment (14 papers), Myasthenia Gravis and Thymoma (8 papers) and Lung Cancer Treatments and Mutations (6 papers). Masaki Goto is often cited by papers focused on Lung Cancer Diagnosis and Treatment (14 papers), Myasthenia Gravis and Thymoma (8 papers) and Lung Cancer Treatments and Mutations (6 papers). Masaki Goto collaborates with scholars based in Japan and United States. Masaki Goto's co-authors include Yasunori Suematsu, Noriyuki Koyama, Hiroshi Tanaka, K. Nomoto, Sachi Hoshi, Hiroshi Nosé, Keijiro Saku, Shin‐ichiro Miura, Takashi Kuwano and Shota Nakamura and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Masaki Goto

66 papers receiving 905 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Masaki Goto Japan 17 216 208 172 169 126 76 925
Theo Pelzer Germany 23 363 1.7× 307 1.5× 311 1.8× 422 2.5× 169 1.3× 48 1.6k
György Fekete Hungary 18 530 2.5× 103 0.5× 135 0.8× 107 0.6× 196 1.6× 94 1.3k
Ying Xu China 21 407 1.9× 108 0.5× 176 1.0× 140 0.8× 182 1.4× 105 1.3k
Masayuki Namiki Japan 19 359 1.7× 270 1.3× 170 1.0× 255 1.5× 382 3.0× 39 1.4k
Mariko Sato Japan 16 276 1.3× 81 0.4× 202 1.2× 60 0.4× 43 0.3× 52 860
Shinichiro Sunamura Japan 15 418 1.9× 293 1.4× 268 1.6× 75 0.4× 105 0.8× 27 956
John M. Basgen United States 20 474 2.2× 171 0.8× 100 0.6× 58 0.3× 255 2.0× 37 2.2k
Gordon Leung United States 14 740 3.4× 150 0.7× 265 1.5× 172 1.0× 296 2.3× 22 1.7k
Silvia Garibaldi Italy 18 251 1.2× 194 0.9× 68 0.4× 188 1.1× 70 0.6× 38 1.1k
Martine Burtin France 20 721 3.3× 171 0.8× 193 1.1× 111 0.7× 133 1.1× 47 1.7k

Countries citing papers authored by Masaki Goto

Since Specialization
Citations

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

Fields of papers citing papers by Masaki Goto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masaki Goto

This figure shows the co-authorship network connecting the top 25 collaborators of Masaki Goto. A scholar is included among the top collaborators of Masaki Goto 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 Masaki Goto. Masaki Goto 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.
Goto, Masaki, et al.. (2022). Dynamic conformal arc radiotherapy for locally advanced lung cancer: a comparison with static-beam conformal radiotherapy. Reports of Practical Oncology & Radiotherapy. 27(5). 897–904.
3.
Nakamura, Shota, Yuka Kadomatsu, Harushi Ueno, et al.. (2021). Diagnostic utility of metabolic parameters on FDG PET/CT for lymph node metastasis in patients with cN2 non-small cell lung cancer. BMC Cancer. 21(1). 983–983. 11 indexed citations
4.
Goto, Masaki, et al.. (2021). Lessons learned from hybrid surgery with preoperative coil embolization for an aberrant artery in pulmonary sequestration. SHILAP Revista de lepidopterología. 7(1). 192–192. 6 indexed citations
5.
Ozeki, Naoki, Koji Kawaguchi, Takayuki Fukui, et al.. (2020). Psoas muscle mass in patients undergoing lung cancer surgery: a prognostic difference between squamous cell carcinoma and adenocarcinoma. International Journal of Clinical Oncology. 25(5). 876–884. 11 indexed citations
6.
Fukui, Takayuki, Yuka Kadomatsu, Harushi Ueno, et al.. (2020). Prognostic factors of stage I thymic epithelial tumors. General Thoracic and Cardiovascular Surgery. 69(1). 59–66. 3 indexed citations
7.
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9.
Goto, Masaki, Yasunori Suematsu, Ane Cláudia Fernandes Nunes, et al.. (2019). Ferric Citrate Attenuates Cardiac Hypertrophy and Fibrosis in a Rat Model of Chronic Kidney Disease.. PubMed. 13(2). 98–104. 6 indexed citations
10.
Nakamura, Shota, Koji Kawaguchi, Takayuki Fukui, et al.. (2019). Multimodality therapy for thymoma patients with pleural dissemination. General Thoracic and Cardiovascular Surgery. 67(6). 524–529. 18 indexed citations
11.
Hishida, Tomoyuki, Junji Yoshida, Masaki Goto, et al.. (2018). Survival and prognostic factors after pulmonary metastasectomy of head and neck cancer: what are the clinically informative prognostic indicators?. European Journal of Cardio-Thoracic Surgery. 55(5). 942–947. 23 indexed citations
12.
Hakiri, Shuhei, Koji Kawaguchi, Takayuki Fukui, et al.. (2018). Verification of the diagnostic strategy for anterior mediastinal tumors. International Journal of Clinical Oncology. 24(4). 385–393. 8 indexed citations
13.
Iba, Yoshinori, et al.. (2016). Oral Administration of Collagen Hydrolysates Improves Glucose Tolerance in Normal Mice Through GLP-1-Dependent and GLP-1-Independent Mechanisms. Journal of Medicinal Food. 19(9). 836–843. 31 indexed citations
14.
Suematsu, Yasunori, Shin‐ichiro Miura, Masaki Goto, et al.. (2016). LCZ696, An Angiotensin Receptor–Neprilysin Inhibitor, Improves Cardiac Function with the Attenuation of Fibrosis in Heart Failure with Reduced Ejection Fraction in Streptozotocin-Induced Diabetic Mice. European Journal of Heart Failure. 18(4). 386–393. 128 indexed citations
15.
Goto, Masaki, et al.. (2014). Adenomatoid tumor of the mediastinum. General Thoracic and Cardiovascular Surgery. 64(1). 47–50. 5 indexed citations
16.
Ikemori‐Kawada, Megumi, et al.. (2012). Docking Simulation Study and Kinase Selectivity of f152A1 and Its Analogs. Journal of Chemical Information and Modeling. 52(8). 2059–2068. 10 indexed citations
17.
Goto, Masaki, et al.. (2007). Protein and carbohydrate supplementation during 5-day aerobic training enhanced improvement of thermoregulation in young men. The FASEB Journal. 21(6). 4 indexed citations
18.
Deshimaru, Masanobu, et al.. (2003). Efficient Purification of an Antihemorrhagic Factor (HSF) in Serum of Japanese Habu (Trimeresurus flavoviridis). 33(2). 45–53. 1 indexed citations
19.
Hoshi, Sachi, Masaki Goto, Noriyuki Koyama, K. Nomoto, & Hiroshi Tanaka. (2000). Regulation of Vascular Smooth Muscle Cell Proliferation by Nuclear Factor-κB and Its Inhibitor, I-κB. Journal of Biological Chemistry. 275(2). 883–889. 94 indexed citations
20.
Shirota, Hiroshi, et al.. (1991). Pharmacological properties of E5090, an orally active inhibitor of IL-1 generation.. Ensho. 11(4). 303–311. 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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