Yoko Kominami

501 total citations
20 papers, 379 citations indexed

About

Yoko Kominami is a scholar working on Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition and Oncology. According to data from OpenAlex, Yoko Kominami has authored 20 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 8 papers in Computer Vision and Pattern Recognition and 7 papers in Oncology. Recurrent topics in Yoko Kominami's work include Colorectal Cancer Screening and Detection (7 papers), Image Retrieval and Classification Techniques (7 papers) and Gastric Cancer Management and Outcomes (4 papers). Yoko Kominami is often cited by papers focused on Colorectal Cancer Screening and Detection (7 papers), Image Retrieval and Classification Techniques (7 papers) and Gastric Cancer Management and Outcomes (4 papers). Yoko Kominami collaborates with scholars based in Japan, United Kingdom and United States. Yoko Kominami's co-authors include Shinji Tanaka, Shigeto Yoshida, Kazufumi Kaneda, Bisser Raytchev, Toru Tamaki, Yoji Sanomura, Kazuaki Chayama, Tsubasa Hirakawa, Tetsushi Koide and Taiji Matsuo and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Gastrointestinal Endoscopy and Journal of Gastroenterology and Hepatology.

In The Last Decade

Yoko Kominami

18 papers receiving 368 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yoko Kominami Japan 8 256 211 115 95 64 20 379
Anke M. Leufkens Netherlands 5 304 1.2× 141 0.7× 110 1.0× 70 0.7× 54 0.8× 8 380
Yoshito Takemura Japan 8 203 0.8× 150 0.7× 88 0.8× 135 1.4× 64 1.0× 10 391
Hayato Itoh Japan 10 346 1.4× 190 0.9× 210 1.8× 108 1.1× 109 1.7× 38 514
Priyam Tripathi United States 3 383 1.5× 230 1.1× 240 2.1× 79 0.8× 168 2.6× 6 550
Florent Chandelier Canada 4 361 1.4× 235 1.1× 240 2.1× 91 1.0× 144 2.3× 7 507
Kenichi Takeda Japan 9 433 1.7× 252 1.2× 235 2.0× 155 1.6× 136 2.1× 21 575
Motoi Miura Japan 4 210 0.8× 191 0.9× 127 1.1× 128 1.3× 51 0.8× 8 394
Andrew Ninh United States 7 251 1.0× 195 0.9× 129 1.1× 142 1.5× 79 1.2× 23 401
Robert Mendel Germany 12 168 0.7× 300 1.4× 143 1.2× 265 2.8× 89 1.4× 24 516
Wolfram G. Zoller Germany 11 143 0.6× 129 0.6× 76 0.7× 116 1.2× 37 0.6× 28 300

Countries citing papers authored by Yoko Kominami

Since Specialization
Citations

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

Fields of papers citing papers by Yoko Kominami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoko Kominami

This figure shows the co-authorship network connecting the top 25 collaborators of Yoko Kominami. A scholar is included among the top collaborators of Yoko Kominami 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 Yoko Kominami. Yoko Kominami 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.
Kominami, Yoko, Shigeto Yoshida, Shinji Tanaka, et al.. (2015). Evaluation of dual-wavelength excitation autofluorescence imaging of colorectal tumours with a high-sensitivity CMOS imager: a cross-sectional study. BMC Gastroenterology. 15(1). 110–110. 1 indexed citations
2.
Hirakawa, Tsubasa, Toru Tamaki, Takio Kurita, et al.. (2015). Transfer learning for Bag-of-Visual words approach to NBI endoscopic image classification. PubMed. 2015. 785–788. 2 indexed citations
3.
Kagawa, Kumiko, Hidenobu Arimoto, Yoko Kominami, et al.. (2015). Spectral study of metabolism-based autofluorescence and white-light reflectance for endoscopic tumor imaging. PubMed. 2015. 5879–5883. 2 indexed citations
4.
Okamoto, Takumi, Tetsushi Koide, Tatsuya Shimizu, et al.. (2015). Image segmentation of pyramid style identifier based on Support Vector Machine for colorectal endoscopic images. PubMed. 2015. 2997–3000. 8 indexed citations
5.
Kominami, Yoko, Shigeto Yoshida, Shinji Tanaka, et al.. (2015). Computer-aided diagnosis of colorectal polyp histology by using a real-time image recognition system and narrow-band imaging magnifying colonoscopy. Gastrointestinal Endoscopy. 83(3). 643–649. 190 indexed citations
6.
Yoshida, Shigeto, Shinji Tanaka, Yoko Kominami, et al.. (2014). A Computer System To Be Used With Laser-based Endoscopy for Quantitative Diagnosis of Early Gastric Cancer. Journal of Clinical Gastroenterology. 49(2). 108–115. 63 indexed citations
7.
Hoang, Anh Tuan, Tetsushi Koide, Toru Tamaki, et al.. (2014). FPGA implementation of feature extraction for colorectal endoscopic images with NBI magnification. 2515–2518. 3 indexed citations
8.
Hirakawa, Tsubasa, Bisser Raytchev, Kazufumi Kaneda, et al.. (2014). SVM-MRF segmentation of colorectal NBI endoscopic images. PubMed. 5302. 4739–4742. 13 indexed citations
9.
Koide, Tetsushi, Anh Tuan Hoang, Takumi Okamoto, et al.. (2014). FPGA implementation of type identifier for colorectal endoscopie images with NBI magnification. 651–654. 7 indexed citations
10.
Furukawa, Ryo, Masahito Aoyama, Shinsaku Hiura, et al.. (2014). Calibration of a 3D endoscopic system based on active stereo method for shape measurement of biological tissues and specimen. PubMed. 2014. 4991–4994. 11 indexed citations
11.
Yoshida, Shigeto, Shinji Tanaka, Yoko Kominami, et al.. (2013). Sa1668 Usefulness of Magnifying Endoscopy With Blue LASER Imaging for Diagnosis of Early Gastric Cancer. Gastrointestinal Endoscopy. 77(5). AB285–AB285. 1 indexed citations
12.
Kagawa, Kumiko, et al.. (2013). Dual-band multi-aperture enhanced redox imaging of colonic adenomas for endoscopes with a high-performance CMOS imager. PubMed. 2013. 1414–1417. 3 indexed citations
13.
Kominami, Yoko, Reiji Higashi, Ken Hirao, et al.. (2013). [A case of diversion colitis successfully treated with 5-aminosalicylic acid].. PubMed. 110(8). 1447–53.
14.
Yoshida, Shigeto, Shinji Tanaka, Yoko Kominami, et al.. (2013). Quantitative identification of mucosal gastric cancer under magnifying endoscopy with flexible spectral imaging color enhancement. Journal of Gastroenterology and Hepatology. 28(5). 841–847. 49 indexed citations
15.
Hirakawa, Tsubasa, Toru Tamaki, Bisser Raytchev, et al.. (2013). Labeling colorectal NBI zoom-videoendoscope image sequences with MRF and SVM. PubMed. 2013. 4831–4834. 2 indexed citations
16.
17.
Kominami, Yoko, Sayo Kobayashi, Reiji Higashi, et al.. (2012). [Classification of the bleeding pattern in colonic diverticulum is useful to predict the risk of bleeding or re-bleeding after endoscopic treatment].. PubMed. 109(3). 393–9. 6 indexed citations
18.
Kominami, Yoko, Sayo Kobayashi, Daisuke Uchida, et al.. (2011). [Dynamic computed tomography is useful for the diagnosis and colonoscopic treatment of colonic diverticular bleeding].. PubMed. 108(2). 223–30. 3 indexed citations
19.
Watanabe, Hiromitsu, Yoko Kominami, Atsushi Sasaki, et al.. (2011). Trans-differentiation of a duodenal phenotype on duodenal transplantation of different normal tissues in F344 rats.. PubMed. 60(1). 1–6. 1 indexed citations
20.
Watanabe, Hiromitsu, Takahiro Ochiya, Shinobu Ueda, et al.. (2007). Differentiation of a hepatic phenotype after heterotropic transplantation of heart, kidney, brain, and skin tissues into liver in F344 rats. Biochemical and Biophysical Research Communications. 354(4). 841–845. 14 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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