Yohei Masugi

7.7k total citations
127 papers, 2.9k citations indexed

About

Yohei Masugi is a scholar working on Oncology, Surgery and Epidemiology. According to data from OpenAlex, Yohei Masugi has authored 127 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Oncology, 38 papers in Surgery and 35 papers in Epidemiology. Recurrent topics in Yohei Masugi's work include Pancreatic and Hepatic Oncology Research (40 papers), Neuroendocrine Tumor Research Advances (17 papers) and Hepatocellular Carcinoma Treatment and Prognosis (14 papers). Yohei Masugi is often cited by papers focused on Pancreatic and Hepatic Oncology Research (40 papers), Neuroendocrine Tumor Research Advances (17 papers) and Hepatocellular Carcinoma Treatment and Prognosis (14 papers). Yohei Masugi collaborates with scholars based in Japan, United States and China. Yohei Masugi's co-authors include Michiie Sakamoto, Ken Yamazaki, Yuko Kitagawa, Kathryn Effendi, Minoru Kitago, Hanako Tsujikawa, Osamu Itano, Y Fukuda, Akihisa Ueno and Oichi Kawanami and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and PLoS ONE.

In The Last Decade

Yohei Masugi

119 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yohei Masugi Japan 31 1.1k 857 677 617 614 127 2.9k
Hiroyuki Takamura Japan 26 993 0.9× 837 1.0× 416 0.6× 453 0.7× 362 0.6× 150 2.5k
Wanguang Zhang China 28 682 0.6× 870 1.0× 545 0.8× 599 1.0× 523 0.9× 133 3.1k
Hiroaki Nagano Japan 26 1.0k 0.9× 614 0.7× 548 0.8× 320 0.5× 598 1.0× 88 2.5k
Xiaobo Yang China 30 1.0k 0.9× 1.0k 1.2× 727 1.1× 999 1.6× 289 0.5× 100 2.6k
Hirofumi Akita Japan 28 1.5k 1.4× 1.1k 1.2× 710 1.0× 813 1.3× 496 0.8× 184 3.2k
Naoya Ikeda Japan 27 1.6k 1.4× 768 0.9× 473 0.7× 483 0.8× 427 0.7× 93 2.9k
Jeremias Wohlschlaeger Germany 30 646 0.6× 1.1k 1.3× 579 0.9× 459 0.7× 354 0.6× 114 2.8k
Ray‐Hwang Yuan Taiwan 32 882 0.8× 1.2k 1.4× 534 0.8× 547 0.9× 278 0.5× 74 2.9k
Rajesh Ramanathan United States 24 1.1k 1.0× 785 0.9× 465 0.7× 306 0.5× 450 0.7× 87 2.3k
Yoshinari Asaoka Japan 27 1.0k 0.9× 1.5k 1.8× 358 0.5× 510 0.8× 911 1.5× 91 3.6k

Countries citing papers authored by Yohei Masugi

Since Specialization
Citations

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

Fields of papers citing papers by Yohei Masugi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yohei Masugi

This figure shows the co-authorship network connecting the top 25 collaborators of Yohei Masugi. A scholar is included among the top collaborators of Yohei Masugi 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 Yohei Masugi. Yohei Masugi 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.
Nakamura, Kohei, Tatsuyuki Chiyoda, Reika Takamatsu, et al.. (2025). Next-generation sequencing outperforms Proactive Molecular Risk Classifier for Endometrial Cancer (ProMisE) in endometrial cancer molecular classification. PubMed. 3(1). 37–37. 1 indexed citations
2.
Kitago, Minoru, Hiroshi Yagi, Yasushi Hasegawa, et al.. (2025). Clinical Impact of Neoadjuvant Therapy for Resectable Pancreatic Ductal Adenocarcinoma: A Single-Center Retrospective Study. Annals of Surgical Oncology. 32(4). 2830–2840. 1 indexed citations
3.
Hayashi, Masanori, Hideaki Obara, Sachiko Matsuda, et al.. (2024). Protective Effects of Hydrogen Gas Inhalation for Hindlimb Ischaemia–Reperfusion Injury in a Mouse Model. European Journal of Vascular and Endovascular Surgery. 68(1). 120–128. 2 indexed citations
4.
Kurebayashi, Yutaka, Katsutoshi Sugimoto, Hanako Tsujikawa, et al.. (2024). Spatial Dynamics of T- and B-Cell Responses Predicts Clinical Outcome of Resectable and Unresectable Hepatocellular Carcinoma. Clinical Cancer Research. 30(24). 5666–5680. 7 indexed citations
5.
Ueno, Akihisa, Yutaka Kurebayashi, Yohei Masugi, et al.. (2024). Vessels encapsulating tumor clusters contribute to the intratumor heterogeneity of HCC on Gd-EOB-DTPA–enhanced MRI. Hepatology Communications. 9(1). 3 indexed citations
6.
Kubo, Akiko, Yohei Masugi, Takeshi Hase, et al.. (2023). Polysulfide Serves as a Hallmark of Desmoplastic Reaction to Differentially Diagnose Ductal Carcinoma In Situ and Invasive Breast Cancer by SERS Imaging. Antioxidants. 12(2). 240–240. 6 indexed citations
7.
8.
Takahashi, Yusuke, et al.. (2021). Micropapillary Predominance Is a Risk Factor for Brain Metastasis in Resected Lung Adenocarcinoma. Clinical Lung Cancer. 22(6). e820–e828. 7 indexed citations
9.
10.
Kitago, Minoru, Sachiko Matsuda, Yasushi Sasaki, et al.. (2020). Combination of KRAS and SMAD4 mutations in formalin‐fixed paraffin‐embedded tissues as a biomarker for pancreatic cancer. Cancer Science. 111(6). 2174–2182. 19 indexed citations
11.
Fujii‐Nishimura, Yoko, Ken Yamazaki, Yohei Masugi, et al.. (2018). Mesenchymal–epithelial transition of pancreatic cancer cells at perineural invasion sites is induced by Schwann cells. Pathology International. 68(4). 214–223. 27 indexed citations
12.
Ojima, Hidenori, Yohei Masugi, Hanako Tsujikawa, et al.. (2018). Steatotic and nonsteatotic scirrhous hepatocellular carcinomas reveal distinct clinicopathological features. Human Pathology. 86. 222–232. 17 indexed citations
13.
Masugi, Yohei, Tokiya Abe, Hanako Tsujikawa, et al.. (2017). Quantitative assessment of liver fibrosis reveals a nonlinear association with fibrosis stage in nonalcoholic fatty liver disease. Hepatology Communications. 2(1). 58–68. 46 indexed citations
14.
Shi, Yan, Zhi Rong Qian, Sui Zhang, et al.. (2017). Cell Cycle Protein Expression in Neuroendocrine Tumors. Pancreas. 46(10). 1347–1353. 19 indexed citations
15.
Mehta, Raaj S., Mingyang Song, Reiko Nishihara, et al.. (2017). Dietary Patterns and Risk of Colorectal Cancer: Analysis by Tumor Location and Molecular Subtypes. Gastroenterology. 152(8). 1944–1953.e1. 132 indexed citations
16.
Dou, Ruoxu, Reiko Nishihara, Yin Cao, et al.. (2016). MicroRNA let-7 , T Cells, and Patient Survival in Colorectal Cancer. Cancer Immunology Research. 4(11). 927–935. 43 indexed citations
17.
Fujita, Yusuke, Minoru Kitago, Yohei Masugi, et al.. (2016). Two cases of pancreatic ductal adenocarcinoma with intrapancreatic metastasis. World Journal of Gastroenterology. 22(41). 9222–9222. 7 indexed citations
18.
Yamazaki, Ken, Yohei Masugi, & Michiie Sakamoto. (2011). Molecular Pathogenesis of Hepatocellular Carcinoma: Altering Transforming Growth Factor-β Signaling in Hepatocarcinogenesis. Digestive Diseases. 29(3). 284–288. 59 indexed citations
19.
Effendi, Kathryn, Taisuke Mori, Mina Komuta, et al.. (2009). Bmi‐1 gene is upregulated in early‐stage hepatocellular carcinoma and correlates with ATP‐binding cassette transporter B1 expression. Cancer Science. 101(3). 666–672. 45 indexed citations
20.
Masugi, Yohei, Kaori Kameyama, Motohiko Aiba, et al.. (2003). Non‐functional adrenocortical adenoma with extensive degeneration. Pathology International. 53(4). 241–245. 8 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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