Tetsuya Ikemoto

5.1k total citations
240 papers, 3.8k citations indexed

About

Tetsuya Ikemoto is a scholar working on Surgery, Hepatology and Oncology. According to data from OpenAlex, Tetsuya Ikemoto has authored 240 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 119 papers in Surgery, 75 papers in Hepatology and 68 papers in Oncology. Recurrent topics in Tetsuya Ikemoto's work include Hepatocellular Carcinoma Treatment and Prognosis (44 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (39 papers) and Pancreatic function and diabetes (32 papers). Tetsuya Ikemoto is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (44 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (39 papers) and Pancreatic function and diabetes (32 papers). Tetsuya Ikemoto collaborates with scholars based in Japan, United States and Spain. Tetsuya Ikemoto's co-authors include Mitsuo Shimada, Yuji Morine, Satoru Imura, Yu Saito, Shinichiro Yamada, Shuichi Iwahashi, Tohru Utsunomiya, Yusuke Arakawa, Jun Hanaoka and Hiroki Mori and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

Tetsuya Ikemoto

227 papers receiving 3.8k citations

Peers

Tetsuya Ikemoto
Ping Bie China
Bostjan Humar Switzerland
Romil Saxena United States
Yu Saito Japan
Tetsuya Ikemoto
Citations per year, relative to Tetsuya Ikemoto Tetsuya Ikemoto (= 1×) peers Yuji Morine

Countries citing papers authored by Tetsuya Ikemoto

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuya Ikemoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsuya Ikemoto

This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuya Ikemoto. A scholar is included among the top collaborators of Tetsuya Ikemoto 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 Tetsuya Ikemoto. Tetsuya Ikemoto 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.
Yamada, Shinichiro, et al.. (2025). Frailty as a predictor of postoperative aspiration pneumonia after abdominal surgery for digestive cancers. Medicine. 104(46). e45697–e45697.
3.
Morine, Yuji, Yu Saito, Hiroki Teraoku, et al.. (2024). Lenvatinib‐resistant hepatocellular carcinoma promotes malignant potential of tumor‐associated macrophages via exosomal miR‐301a‐3p. Annals of Gastroenterological Surgery. 8(6). 1084–1095. 9 indexed citations
4.
Yamada, Shinichiro, Yuji Morine, Satoru Imura, et al.. (2023). Effect of daikenchuto (TU-100) on carcinogenesis in non-alcoholic steatohepatitis. The Journal of Medical Investigation. 70(1.2). 66–73. 1 indexed citations
5.
Miyazaki, Katsuki, Yuji Morine, Caiming Xu, et al.. (2023). Curcumin-Mediated Resistance to Lenvatinib via EGFR Signaling Pathway in Hepatocellular Carcinoma. Cells. 12(4). 612–612. 27 indexed citations
6.
Yoshikawa, Kozo, Mitsuo Shimada, Yuji Morine, et al.. (2023). Clinical impact of myosteatosis measured by magnetic resonance imaging on long-term outcomes of hepatocellular carcinoma after radical hepatectomy. BMC Surgery. 23(1). 281–281. 2 indexed citations
7.
Miyazaki, Katsuki, Yu Saito, Mayuko Ichimura‐Shimizu, et al.. (2022). Defective endoplasmic reticulum stress response via X box‐binding protein 1 is a major cause of poor liver regeneration after partial hepatectomy in mice with non‐alcoholic steatohepatitis. Journal of Hepato-Biliary-Pancreatic Sciences. 29(12). 1241–1252. 1 indexed citations
8.
Yamada, Shinichiro, Yuji Morine, Tetsuya Ikemoto, et al.. (2022). Inhibitory effect of non-alcoholic steatohepatitis on colon cancer liver metastasis. European Journal of Surgical Oncology. 49(2). 410–415. 3 indexed citations
9.
Yamashita, Shoko, Chie Takasu, Yuji Morine, et al.. (2022). Characteristic submucosal alteration in biliary carcinogenesis of pancreaticobiliary maljunction with a focus on inflammasome activation. Journal of Hepato-Biliary-Pancreatic Sciences. 30(4). 462–472.
10.
Saito, Yu, Tetsuya Ikemoto, Kazunori Tokuda, et al.. (2021). Effective three‐dimensional culture of hepatocyte‐like cells generated from human adipose‐derived mesenchymal stem cells. Journal of Hepato-Biliary-Pancreatic Sciences. 28(9). 705–715. 9 indexed citations
11.
Yamada, Shinichiro, Mitsuo Shimada, Yuji Morine, et al.. (2021). Significance of frailty in prognosis after surgery in patients with pancreatic ductal adenocarcinoma. World Journal of Surgical Oncology. 19(1). 94–94. 21 indexed citations
12.
Morine, Yuji, Shinichiro Yamada, Yu Saito, et al.. (2021). The BAFF/NFκB axis is crucial to interactions between sorafenib‐resistant HCC cells and cancer‐associated fibroblasts. Cancer Science. 112(9). 3545–3554. 33 indexed citations
13.
Yoshikawa, Masato, Yuji Morine, Shinichiro Yamada, et al.. (2020). Prognostic prediction of resectable colorectal liver metastasis using the apparent diffusion coefficient from diffusion‐weighted magnetic resonance imaging. Annals of Gastroenterological Surgery. 5(2). 252–258. 2 indexed citations
14.
Yamada, Shinichiro, Yuji Morine, Satoru Imura, et al.. (2020). Prognostic prediction of apparent diffusion coefficient obtained by diffusion‐weighted MRI in mass‐forming intrahepatic cholangiocarcinoma. Journal of Hepato-Biliary-Pancreatic Sciences. 27(7). 388–395. 21 indexed citations
15.
Yoshimoto, Toshiaki, Tetsuya Ikemoto, Yuji Morine, et al.. (2020). Impact of using a perioperative artificial endocrine pancreas in pancreatic resection. Annals of Gastroenterological Surgery. 4(5). 591–596. 9 indexed citations
16.
Ikemoto, Tetsuya, Rui Feng, Shinichiro Yamada, et al.. (2019). In vitro and in vivo effects of insulin-producing cells generated by xeno-antigen free 3D culture with RCP piece. Scientific Reports. 9(1). 10759–10759. 21 indexed citations
17.
Yamada, Shinichiro, Mitsuo Shimada, Yuji Morine, et al.. (2019). A new formula to calculate the resection limit in hepatectomy based on Gd-EOB-DTPA-enhanced magnetic resonance imaging. PLoS ONE. 14(1). e0210579–e0210579. 10 indexed citations
18.
Yoshimoto, Toshiaki, Yuji Morine, Chie Takasu, et al.. (2018). Blue light‐emitting diodes induce autophagy in colon cancer cells by Opsin 3. Annals of Gastroenterological Surgery. 2(2). 154–161. 41 indexed citations
19.
Imura, Satoru, Yu Saito, Yuji Morine, et al.. (2016). Loss of SFRP1 Expression Is Associated with Poor Prognosis in Hepatocellular Carcinoma.. PubMed. 36(2). 659–64. 18 indexed citations
20.
Sugimoto, Koji, Mitsuo Shimada, Toru Utsunomiya, et al.. (2014). Valproic acid enhances the anti-tumor effect of pegylated interferon-α towards pancreatic cancer cell lines.. PubMed. 34(7). 3403–9. 3 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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