Yosuke Iwatate

412 total citations
17 papers, 297 citations indexed

About

Yosuke Iwatate is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Yosuke Iwatate has authored 17 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 7 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Molecular Biology. Recurrent topics in Yosuke Iwatate's work include Radiomics and Machine Learning in Medical Imaging (5 papers), Pancreatic and Hepatic Oncology Research (5 papers) and MicroRNA in disease regulation (4 papers). Yosuke Iwatate is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), Pancreatic and Hepatic Oncology Research (5 papers) and MicroRNA in disease regulation (4 papers). Yosuke Iwatate collaborates with scholars based in Japan. Yosuke Iwatate's co-authors include Isamu Hoshino, Hidehito Arimitsu, Satoshi Chiba, Hiroo Yanagibashi, Wataru Takayama, Hiroki Nagase, Hajime Yokota, Yoshihiro Nabeya, Makiko Itami and Takashi Uno and has published in prestigious journals such as PLoS ONE, Scientific Reports and British Journal of Cancer.

In The Last Decade

Yosuke Iwatate

17 papers receiving 289 citations

Peers

Yosuke Iwatate

RNMI

ONCOL

PRM

Haohua Teng China

Weicai Huang China

Amro Masarwah Finland

Yiquan Jiang China

Hiroo Yanagibashi Japan

Hidehito Arimitsu Japan

Lindsay C. Hewitt United Kingdom

Min‐Er Zhong China

Haohua Teng China

Yosuke Iwatate

75 ×0.6

RNMI

92 ×0.8

ONCOL

172 ×1.8

PRM

61 ×0.7

51 ×0.6

Citations per year, relative to Yosuke Iwatate Yosuke Iwatate (= 1×) peers Haohua Teng

Countries citing papers authored by Yosuke Iwatate

Since Specialization

Citations

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

Fields of papers citing papers by Yosuke Iwatate

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yosuke Iwatate

This figure shows the co-authorship network connecting the top 25 collaborators of Yosuke Iwatate. A scholar is included among the top collaborators of Yosuke Iwatate 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 Yosuke Iwatate. Yosuke Iwatate is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

Hoshino, Isamu, et al.. (2023). Applying artificial intelligence using routine clinical data for preoperative diagnosis and prognosis evaluation of gastric cancer. Oncology Letters. 26(5). 499–499. 7 indexed citations

Iwatate, Yosuke, Hajime Yokota, Isamu Hoshino, et al.. (2022). Transcriptomic analysis reveals high ITGB1 expression as a predictor for poor prognosis of pancreatic cancer. PLoS ONE. 17(6). e0268630–e0268630. 12 indexed citations

Iwatate, Yosuke, Hajime Yokota, Isamu Hoshino, et al.. (2022). Machine learning with imaging features to predict the expression of ITGAV, which is a poor prognostic factor derived from transcriptome analysis in pancreatic cancer. International Journal of Oncology. 60(5). 5 indexed citations

Hoshino, Isamu, Yosuke Iwatate, Hisashi Gunji, et al.. (2021). Cell-free microRNA-1246 in different body fluids as a diagnostic biomarker for esophageal squamous cell carcinoma. PLoS ONE. 16(3). e0248016–e0248016. 15 indexed citations

Yokota, Hajime, et al.. (2021). Deep learning-based gene selection in comprehensive gene analysis in pancreatic cancer. Scientific Reports. 11(1). 16521–16521. 10 indexed citations

Hoshino, Isamu, Hajime Yokota, Yosuke Iwatate, et al.. (2021). Prediction of the differences in tumor mutation burden between primary and metastatic lesions by radiogenomics. Cancer Science. 113(1). 229–239. 13 indexed citations

Hoshino, Isamu, Yoshihiro Nabeya, Nobuhiro Takiguchi, et al.. (2020). Inducing multiple antibodies to treat squamous cell esophageal carcinoma. BMC Cancer. 20(1). 1007–1007. 4 indexed citations

Hoshino, Isamu, Yosuke Iwatate, Satoshi Chiba, et al.. (2020). MIR1246 in body fluids as a biomarker for pancreatic cancer. Scientific Reports. 10(1). 8723–8723. 31 indexed citations

Hoshino, Isamu, Hajime Yokota, Yosuke Iwatate, et al.. (2020). Radiogenomics predicts the expression of microRNA-1246 in the serum of esophageal cancer patients. Scientific Reports. 10(1). 2532–2532. 18 indexed citations

10.

Iwatate, Yosuke, Isamu Hoshino, Makiko Itami, et al.. (2020). Prognostic significance of p16 protein in pancreatic ductal adenocarcinoma. Molecular and Clinical Oncology. 13(1). 83–91. 9 indexed citations

11.

Iwatate, Yosuke, Isamu Hoshino, Hajime Yokota, et al.. (2020). Radiogenomics for predicting p53 status, PD-L1 expression, and prognosis with machine learning in pancreatic cancer. British Journal of Cancer. 123(8). 1253–1261. 77 indexed citations

12.

Hoshino, Isamu, Yosuke Iwatate, Hisashi Gunji, et al.. (2020). Usefulness of serum miR‑1246/miR‑106b ratio in patients with esophageal squamous cell carcinoma. Oncology Letters. 20(6). 1–1. 12 indexed citations

13.

Hoshino, Isamu, Yoshihiro Nabeya, Nobuhiro Takiguchi, et al.. (2020). Prognostic impact of p53 and/or NY‐ESO‐1 autoantibody induction in patients with gastroenterological cancers. Annals of Gastroenterological Surgery. 4(3). 275–282. 17 indexed citations

14.

Hoshino, Isamu, Hisashi Gunji, Yosuke Iwatate, et al.. (2019). Surgical treatment strategy for esophagogastric junction cancers based on the tumor diameter. BMC Surgery. 19(1). 152–152. 3 indexed citations

15.

Hoshino, Isamu, Masahīko Takahashi, Yasunori Akutsu, et al.. (2019). Genome‑wide ChIP‑seq data with a transcriptome analysis reveals the groups of genes regulated by histone demethylase LSD1 inhibition in esophageal squamous cell carcinoma cells. Oncology Letters. 18(1). 872–881. 9 indexed citations

16.

Nabeya, Yoshihiro, Isamu Hoshino, Wataru Takayama, et al.. (2018). Quantitative Assessment of the Blood Perfusion of the Gastric Conduit by Indocyanine Green Imaging. Journal of Surgical Research. 234. 303–310. 45 indexed citations

17.

Takayama, Wataru, Satoshi Chiba, Isamu Hoshino, et al.. (2018). Hepatectomy for oligo-recurrence of non-small cell lung cancer in the liver. International Journal of Clinical Oncology. 23(4). 647–651. 10 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.

Explore authors with similar magnitude of impact