Masato Sugano

1.0k total citations
44 papers, 709 citations indexed

About

Masato Sugano is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Masato Sugano has authored 44 papers receiving a total of 709 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Oncology, 18 papers in Pulmonary and Respiratory Medicine and 8 papers in Surgery. Recurrent topics in Masato Sugano's work include Cancer Cells and Metastasis (12 papers), Lung Cancer Treatments and Mutations (8 papers) and Cancer Immunotherapy and Biomarkers (7 papers). Masato Sugano is often cited by papers focused on Cancer Cells and Metastasis (12 papers), Lung Cancer Treatments and Mutations (8 papers) and Cancer Immunotherapy and Biomarkers (7 papers). Masato Sugano collaborates with scholars based in Japan and United States. Masato Sugano's co-authors include Atsushi Ochiai, Masahiro Tsuboi, Genichiro Ishii, Yasushi Yatabe, Takeshi Kuwata, Satoshi Fujii, Motohiro Kojima, Hiroshi Nakamura, Tomohiro Miyoshi and Keiju Aokage and has published in prestigious journals such as SHILAP Revista de lepidopterología, The American Journal of Surgical Pathology and Journal of Cellular Physiology.

In The Last Decade

Masato Sugano

41 papers receiving 704 citations

Peers

Masato Sugano
Marie Alt France
Tatjana Vlajnic Switzerland
Ramona Erber Germany
Shona Hendry Australia
C.J.A. Punt Netherlands
Marie Alt France
Masato Sugano
Citations per year, relative to Masato Sugano Masato Sugano (= 1×) peers Marie Alt

Countries citing papers authored by Masato Sugano

Since Specialization
Citations

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

Fields of papers citing papers by Masato Sugano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masato Sugano

This figure shows the co-authorship network connecting the top 25 collaborators of Masato Sugano. A scholar is included among the top collaborators of Masato Sugano 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 Masato Sugano. Masato Sugano 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.
Hoshino, Hironobu, Keiju Aokage, Tomohiro Miyoshi, et al.. (2021). Correlation between the number of viable tumor cells and immune cells in the tumor microenvironment in non‐small cell lung cancer after induction therapy. Pathology International. 71(8). 512–520. 2 indexed citations
2.
Miyoshi, Tomohiro, Keiju Aokage, Jun Suzuki, et al.. (2021). Prognostic impact of the tumor immune microenvironment in pulmonary pleomorphic carcinoma. Lung Cancer. 153. 56–65. 10 indexed citations
3.
Watanabe, Reiko, Motohiro Kojima, Masato Sugano, et al.. (2021). Evaluation of the morphological features and unfavorable prognostic impact of dirty necrosis in renal cell carcinoma. Journal of Cancer Research and Clinical Oncology. 147(4). 1089–1100. 14 indexed citations
4.
Suzuki, Jun, Keiju Aokage, Shinya Neri, et al.. (2020). Relationship between podoplanin-expressing cancer-associated fibroblasts and the immune microenvironment of early lung squamous cell carcinoma. Lung Cancer. 153. 1–10. 62 indexed citations
5.
Aokage, Keiju, Tokiko Nakai, Kenta Tane, et al.. (2020). Machine learning-based histological classification that predicts recurrence of peripheral lung squamous cell carcinoma. Lung Cancer. 147. 252–258. 17 indexed citations
6.
Suzuki, Jun, Motohiro Kojima, Keiju Aokage, et al.. (2019). Clinicopathological characteristics associated with necrosis in pulmonary metastases from colorectal cancer. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 474(5). 569–575. 8 indexed citations
7.
Kawai, Hitomi, Masato Sugano, Masafumi Muratani, et al.. (2019). A case of invasive mucinous adenocarcinoma of the lung showing stepwise progression at the primary site. Lung Cancer. 136. 94–97. 1 indexed citations
8.
Nakamura, Hiroshi, Masato Sugano, Tomoyuki Miyashita, et al.. (2019). Organoid culture containing cancer cells and stromal cells reveals that podoplanin-positive cancer-associated fibroblasts enhance proliferation of lung cancer cells. Lung Cancer. 134. 100–107. 42 indexed citations
9.
Sakai, Takashi, Keiju Aokage, Shinya Neri, et al.. (2018). Link between tumor-promoting fibrous microenvironment and an immunosuppressive microenvironment in stage I lung adenocarcinoma. Lung Cancer. 126. 64–71. 46 indexed citations
10.
Ichikawa, Tomohiro, Keiju Aokage, Masato Sugano, et al.. (2018). The ratio of cancer cells to stroma within the invasive area is a histologic prognostic parameter of lung adenocarcinoma. Lung Cancer. 118. 30–35. 19 indexed citations
11.
Ueda, Takuya, Keiju Aokage, Hiroyoshi Nishikawa, et al.. (2018). Immunosuppressive tumor microenvironment of usual interstitial pneumonia-associated squamous cell carcinoma of the lung. Journal of Cancer Research and Clinical Oncology. 144(5). 835–844. 9 indexed citations
12.
Miyashita, Tomoyuki, Hiroshi Nakamura, Masato Sugano, et al.. (2018). Spatiotemporal characteristics of fibroblasts-dependent cancer cell invasion. Journal of Cancer Research and Clinical Oncology. 145(2). 373–381. 5 indexed citations
13.
Nakamura, Hiroshi, Tomohiro Ichikawa, Shoko Nakasone, et al.. (2017). Abundant tumor promoting stromal cells in lung adenocarcinoma with hypoxic regions. Lung Cancer. 115. 56–63. 15 indexed citations
14.
Ichikawa, Tomohiro, Koichi Saruwatari, Sachiyo Mimaki, et al.. (2017). Immunohistochemical and genetic characteristics of lung cancer mimicking organizing pneumonia. Lung Cancer. 113. 134–139. 4 indexed citations
15.
Miki, Haruka, Hiroto Tsuboi, Shunta Kaneko, et al.. (2015). A case of refractory Kimura disease with a buccal bulky mass successfully treated with low-dose cyclosporine A: Report and review of the literature. Allergology International. 65(2). 212–214. 12 indexed citations
16.
Jesmin, Subrina, Hideaki Sakuramoto, Masato Sugano, et al.. (2015). Hyperinflation deteriorates arterial oxygenation and lung injury in a rabbit model of ARDS with repeated open endotracheal suctioning. BMC Anesthesiology. 15(1). 73–73. 14 indexed citations
17.
Ohara, Yusuke, Tatsuya Oda, Masato Sugano, et al.. (2013). Histological and prognostic importance of CD44+/CD24+/EpCAM+ expression in clinical pancreatic cancer. Cancer Science. 104(8). 1127–1134. 62 indexed citations
18.
Satomi, Kaishi, Yukio Morishita, Yoshihiko Murata, et al.. (2013). Epidermal growth factor receptor abnormalities in atypical teratoid/rhabdoid tumors and an unusual case with gene amplification. Pathology - Research and Practice. 209(8). 521–526. 5 indexed citations
19.
Ohara, Yusuke, Masayoshi Yamamoto, Kazuhiko Yanagisawa, et al.. (2010). Synchronous Mucinous Cystadenocarcinoma of the Appendix and Primary Peritoneal Carcinoma Report of A Case. The Japanese Journal of Gastroenterological Surgery. 43(5). 584–588.
20.
Watanabe, Miho, Hiroaki Komuro, Michio Kaneko, et al.. (2008). A rare case of presacral cystic neuroblastoma in an infant. Journal of Pediatric Surgery. 43(7). 1376–1379. 5 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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