Tomohiro Tada
About
Tomohiro Tada is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Oncology.
According to data from OpenAlex, Tomohiro Tada has authored 136 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Pulmonary and Respiratory Medicine, 55 papers in Surgery and 40 papers in Oncology. Recurrent topics in Tomohiro Tada's work include Gastric Cancer Management and Outcomes (45 papers), Colorectal Cancer Screening and Detection (36 papers) and Esophageal Cancer Research and Treatment (25 papers). Tomohiro Tada is often cited by papers focused on Gastric Cancer Management and Outcomes (45 papers), Colorectal Cancer Screening and Detection (36 papers) and Esophageal Cancer Research and Treatment (25 papers). Tomohiro Tada collaborates with scholars based in Japan, Germany and United States. Tomohiro Tada's co-authors include Soichiro Ishihara, Kazuharu Aoyama, Mitsuhiro Fujishiro, Satoki Shichijo, Toshiaki Hirasawa, Tsuyoshi Ozawa, Junko Fujisaki, Toshiyuki Yoshio, Keigo Matsuo and Hiroaki Saito and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.
In The Last Decade
Tomohiro Tada
131 papers receiving 4.4k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Tomohiro Tada Japan | 35 | 2.2k | 2.1k | 1.6k | 1.3k | 896 | 136 | 4.6k | ||
| Soichiro Ishihara Japan | 39 | 2.1k 1.0× | 3.8k 1.8× | 2.5k 1.5× | 955 0.7× | 865 1.0× | 385 | 6.6k | ||
| Michitaka Fujiwara Japan | 48 | 3.3k 1.5× | 2.7k 1.3× | 2.6k 1.6× | 1.1k 0.9× | 1.1k 1.2× | 298 | 8.0k | ||
| Junko Fujisaki Japan | 35 | 3.9k 1.8× | 1.5k 0.7× | 2.5k 1.5× | 599 0.5× | 1.7k 1.9× | 186 | 5.2k | ||
| Shin‐ei Kudo Japan | 47 | 5.3k 2.4× | 5.1k 2.5× | 3.9k 2.4× | 1.0k 0.8× | 2.0k 2.3× | 319 | 8.9k | ||
| Zaiyi Liu China | 44 | 2.6k 1.2× | 1.8k 0.9× | 1.0k 0.6× | 6.5k 4.9× | 232 0.3× | 265 | 8.6k | ||
| Arief A. Suriawinata United States | 38 | 868 0.4× | 3.2k 1.6× | 2.4k 1.5× | 550 0.4× | 227 0.3× | 123 | 5.9k | ||
| Yuming Jiang China | 27 | 1.2k 0.5× | 998 0.5× | 509 0.3× | 940 0.7× | 250 0.3× | 71 | 2.5k | ||
| Chan Kwon Jung South Korea | 42 | 983 0.4× | 1.4k 0.7× | 2.2k 1.4× | 912 0.7× | 106 0.1× | 306 | 7.0k | ||
| Shiro Oka Japan | 43 | 3.8k 1.7× | 2.0k 1.0× | 3.1k 1.9× | 341 0.3× | 2.3k 2.6× | 269 | 6.2k | ||
| Toshiaki Hirasawa Japan | 32 | 3.1k 1.4× | 1.2k 0.6× | 2.1k 1.3× | 622 0.5× | 1.3k 1.5× | 149 | 4.1k |
Countries citing papers authored by Tomohiro Tada
Since
Specialization
Citations
This map shows the geographic impact of Tomohiro Tada'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 Tomohiro Tada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomohiro Tada more than expected).
Fields of papers citing papers by Tomohiro Tada
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Tomohiro Tada. 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 Tomohiro Tada. The network helps show where Tomohiro Tada may publish in the future.
Co-authorship network of co-authors of Tomohiro Tada
This figure shows the co-authorship network connecting the top 25 collaborators of Tomohiro Tada. A scholar is included among the top collaborators of Tomohiro Tada 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 Tomohiro Tada. Tomohiro Tada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Fujimoto, Ai, Kazutoshi Higuchi, Teppei Akimoto, et al.. (2024). EFFECT OF AN ARTIFICIAL INTELLIGENCE-ASSISTED ENDOSCOPY IN THE DIAGNOSIS OF SUPERFICIAL GASTRIC NEOPLASMS: A MULTICENTER PROSPECTIVE RANDOMIZED CONTROL TRIAL (GASTRO-AI-STUDY). Gastrointestinal Endoscopy. 99(6). AB21–AB21.
2.
Futagami, Seiji, Ken Nakamura, Nobue Ueki, et al.. (2024). Combination of artificial intelligence endoscopic diagnosis and Kimura‐Takemoto classification determined by endoscopic experts may effectively evaluate the stratification of gastric atrophy in post‐eradication status. SHILAP Revista de lepidopterología. 5(1). e70029–e70029.
3.
Lee, Jonathan, Feng Zhu, Yeoh Khay Guan, et al.. (2023). Comparing artificial intelligence to humans for endoscopic diagnosis of gastric neoplasia: An external validation study. Journal of Gastroenterology and Hepatology. 38(9). 1587–1591.
4.
Tsuboi, Akiyoshi, Shiro Oka, Yusuke Kato, et al.. (2023). Disease surveillance evaluation of primary small-bowel follicular lymphoma using capsule endoscopy images based on a deep convolutional neural network (with video). Gastrointestinal Endoscopy. 98(6). 968–976.e3.
5.
OZAWA, Tsuyoshi, Hiroyuki Osawa, Toshiaki Hirasawa, et al.. (2023). Cost‐effectiveness analysis of the artificial intelligence diagnosis support system for early gastric cancers. SHILAP Revista de lepidopterología. 4(1). e289–e289.
6.
Tada, Tomohiro, Kazuhiro Hara, Yoshinori Ito, et al.. (2023). Comparative examination of the pons and corpus callosum as reference regions for quantitative evaluation in positron emission tomography imaging for Alzheimer’s disease using 11C-Pittsburgh Compound-B. Annals of Nuclear Medicine. 37(7). 410–418.
7.
Ishioka, Mitsuaki, Hiroyuki Osawa, Toshiaki Hirasawa, et al.. (2022). Performance of an artificial intelligence‐based diagnostic support tool for early gastric cancers: Retrospective study. Digestive Endoscopy. 35(4). 483–491.
8.
Saito, Hiroaki, Tomonori Aoki, Kazuharu Aoyama, et al.. (2020). Automatic detection and classification of protruding lesions in wireless capsule endoscopy images based on a deep convolutional neural network. Gastrointestinal Endoscopy. 92(1). 144–151.e1.
9.
Saito, Hiroaki, Tetsuya Tanimoto, Tsuyoshi Ozawa, et al.. (2020). Automatic anatomical classification of colonoscopic images using deep convolutional neural networks. Gastroenterology report. 9(3). 226–233.
10.
Tsuji, Yosuke, Yoshiki Sakaguchi, Chihiro Minatsuki, et al.. (2020). 胃癌の浸潤深さを予測するための高精度人工知能システム:従来の白色光イメージング,非拡大狭帯域イメージングおよびインジゴカルミン色素コントラストイメージングの有効性【JST・京大機械翻訳】. Gastrointestinal Endoscopy. 92(4). 866–873.
11.
Horiuchi, Yusuke, Toshiaki Hirasawa, Naoki Ishizuka, et al.. (2020). Performance of a computer-aided diagnosis system in diagnosing early gastric cancer using magnifying endoscopy videos with narrow-band imaging (with videos). Gastrointestinal Endoscopy. 92(4). 856–865.e1.
12.
Aoki, Tomonori, Atsuo Yamada, Kazuharu Aoyama, et al.. (2019). Clinical usefulness of a deep learning‐based system as the first screening on small‐bowel capsule endoscopy reading. Digestive Endoscopy. 32(4). 585–591.
13.
Shichijo, Satoki, Kazuharu Aoyama, Yoshinori Takeuchi, et al.. (2019). Application of convolutional neural networks for evaluatingHelicobacter pyloriinfection status on the basis of endoscopic images. Scandinavian Journal of Gastroenterology. 54(2). 158–163.
14.
Shichijo, Satoki, Shuhei Nomura, Kazuharu Aoyama, et al.. (2017). Application of Convolutional Neural Networks in the Diagnosis of Helicobacter pylori Infection Based on Endoscopic Images. EBioMedicine. 25. 106–111.
15.
Tada, Tomohiro, Kristin Steigerwald, Giovanni J. Ughi, et al.. (2013). Tissue characterization after DES implantation utilizing optical coherence tomography. Arteriosclerosis Thrombosis and Vascular Biology.
16.
Byrne, Robert A., Michael Joner, Tomohiro Tada, & Adnan Kastrati. (2012). Restenosis in bare metal and drug-eluting stents: distinct mechanistic insights from histopathology and optical intravascular imaging.. PubMed. 60(5). 473–89.
17.
Tanaka, Junichiro, Toshiaki Watanabe, Takamitsu Kanazawa, et al.. (2009). Silencing of secreted frizzled-related protein genes in MSI colorectal carcinogenesis.. PubMed. 55(85). 1265–8.
18.
Tada, Tomohiro, et al.. (2009). Comparison of effects of ischemia period in rat limb ischemia/reperfusion injury.. 50(2). 83–91.
19.
Tada, Tomohiro, et al.. (2004). Genetic characterization of colorectal cancers in young patients based on chromosomal loss and microsatellite instability. Scandinavian Journal of Gastroenterology. 39(11). 1134–1140.
20.
Sano, Kenji, et al.. (1987). MHC-restricted minimal regulatory circuit initiated by a class II-autoreactive T cell clone.. The Journal of Experimental Medicine. 165(5). 1284–1295.
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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