Tatsuya Ohnishi

891 citations
18 papers · 652 indexed · 1 hit paper · h-index 8

Tatsuya Ohnishi

17 papers receiving 626 citations

Hit Papers

Application of artificial intelligence using a convolutio...5242018202620202023100200300400500

Peers

Tatsuya Ohnishi
Comparison fields: 5 of 76
  • Health Informatics 32
  • Gastroenterology 80
  • Oncology 287
  • Pulmonary and Respiratory Medicine 313
  • Radiology, Nuclear Medicine and Imaging 201
Replace Kenichi Takeda with:
Kenichi Takeda Japan
Yasuharu Maeda Japan
Xiao Hu China
Takemasa Hayashi Japan
Chaoran Yu China
Yun Bian China
Yiwen Xu United States
Linjie Guo China
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Tatsuya Ohnishi relative to Kenichi Takeda Japan Kenichi Takeda's profile →
Citations per field
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Kenichi Takeda · 1×
Citations per year

Countries citing papers authored by Tatsuya Ohnishi

Since Specialization
Citations

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

Fields of papers citing papers by Tatsuya Ohnishi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Tatsuya Ohnishi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tatsuya Ohnishi Line = papers co-authored together Tatsuya Ohnishi links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 20232
2 20207
3 20199
4
Application of artificial intelligence using a convolutional neural network for detecting gastric cancer in endoscopic imagesbreakdown →
2018524
5
[Pulmonary artery sling and single ventricle treated with a simultaneous operation of slide tracheoplasty, left pulmonary artery reimplantation, and bidirectional cavo-pulmonary shunt].
20130
6
Development of Worker Position and Posture Detection System Using PTZ Camera for Intelligent Agricultural Work Assistance
20126
7 201211
8 20126
9 20114
10 201116
11 20116
12
Telomerase activity of blood samples and recurrence of colorectal cancer.
20094
13
Telomerase subunit immunoreactivity and recurrence in colorectal cancer.
20063
14 200621
15 200618
16 20033
17 200011
18 19851

About Tatsuya Ohnishi

Tatsuya Ohnishi is a scholar working on Dermatology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 18 papers that have together received 652 indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (4 papers), Cardiovascular Function and Risk Factors (3 papers), Breast Cancer Treatment Studies (3 papers), Telomeres, Telomerase, and Senescence (3 papers), Cancer Treatment and Pharmacology (2 papers), Tracheal and airway disorders (2 papers), Skin Diseases and Diabetes (2 papers) and Pulmonary Hypertension Research and Treatments (2 papers). The work is most often cited by research in Health Informatics (32 citations), Gastroenterology (80 citations) and Oncology (287 citations). Tatsuya Ohnishi has collaborated with scholars based in Japan. Frequent co-authors include Tomohiro Tada, Kazuharu Aoyama, Toshiaki Hirasawa, Tetsuya Tanimoto, Keigo Matsuo, Satoki Shichijo, Tsuyoshi Ozawa, Junko Fujisaki, Mitsuhiro Fujishiro and Soichiro Ishihara. Their work appears in journals such as Journal of Clinical Oncology, Bioorganic & Medicinal Chemistry and Surgery.

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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