Tomokazu Hisayuki

806 total citations
20 papers, 186 citations indexed

About

Tomokazu Hisayuki is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Tomokazu Hisayuki has authored 20 papers receiving a total of 186 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oncology, 9 papers in Pulmonary and Respiratory Medicine and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Tomokazu Hisayuki's work include Gastric Cancer Management and Outcomes (9 papers), Colorectal Cancer Screening and Detection (9 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Tomokazu Hisayuki is often cited by papers focused on Gastric Cancer Management and Outcomes (9 papers), Colorectal Cancer Screening and Detection (9 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Tomokazu Hisayuki collaborates with scholars based in Japan. Tomokazu Hisayuki's co-authors include Kunihiko Wakamura, Masashi Misawa, Takemasa Hayashi, Yuichi Mori, Shin‐ei Kudo, Fumio Ishida, Toyoki Kudo, Hideyuki Miyachi, Atsushi Katagiri and Shingo Matsudaira and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastrointestinal Endoscopy and International Journal of Colorectal Disease.

In The Last Decade

Tomokazu Hisayuki

16 papers receiving 181 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomokazu Hisayuki Japan 7 140 94 76 23 18 20 186
Eline C. Soer Netherlands 8 129 0.9× 89 0.9× 101 1.3× 7 0.3× 12 0.7× 12 185
Carlijn van de Water Netherlands 6 69 0.5× 43 0.5× 39 0.5× 6 0.3× 24 1.3× 11 144
M. Bruno Italy 7 127 0.9× 57 0.6× 94 1.2× 18 0.8× 17 0.9× 17 173
Marta Climent Spain 9 147 1.1× 83 0.9× 62 0.8× 11 0.5× 25 1.4× 12 224
Luchuan Chen China 9 95 0.7× 76 0.8× 69 0.9× 15 0.7× 40 2.2× 17 180
E Veloso Spain 7 116 0.8× 159 1.7× 171 2.3× 35 1.5× 10 0.6× 20 313
Michiko Shabana Japan 6 152 1.1× 300 3.2× 287 3.8× 48 2.1× 32 1.8× 8 389
Rubén Cortés‐González Mexico 7 36 0.3× 147 1.6× 146 1.9× 33 1.4× 16 0.9× 19 226
Noah Rozich United States 8 168 1.2× 44 0.5× 62 0.8× 4 0.2× 22 1.2× 22 213

Countries citing papers authored by Tomokazu Hisayuki

Since Specialization
Citations

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

Fields of papers citing papers by Tomokazu Hisayuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomokazu Hisayuki

This figure shows the co-authorship network connecting the top 25 collaborators of Tomokazu Hisayuki. A scholar is included among the top collaborators of Tomokazu Hisayuki 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 Tomokazu Hisayuki. Tomokazu Hisayuki 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.
Kudo, Shin‐ei, Masashi Misawa, Yuichi Mori, et al.. (2021). ID: 3521790 DOES ARTIFICIAL INTELLIGENCE IMPROVE NEOPLASMS DETECTION RATE FOR COLONOSCOPY? - A SINGLE CENTER PILOT STUDY. Gastrointestinal Endoscopy. 93(6). AB191–AB192.
2.
Misawa, Masashi, Shin‐ei Kudo, Yuichi Mori, et al.. (2021). ID: 3526637 ARTIFICIAL INTELLIGENCE-ASSISTED DIAGNOSTIC SYSTEM FOR NARROW-BAND IMAGING FOR COLORECTAL LESIONS.. Gastrointestinal Endoscopy. 93(6). AB198–AB199.
3.
Kudo, Shin‐ei, Katsuro Ichimasa, Yuta Kouyama, et al.. (2020). Small invasive colon cancer with adenoma observed by endocytoscopy: A case report. World Journal of Gastrointestinal Endoscopy. 12(9). 304–309.
4.
Kataoka, Shinichi, Shin‐ei Kudo, Masashi Misawa, et al.. (2020). Endocytoscopy with NBI has the potential to correctly diagnose diminutive colorectal polyps that are difficult to diagnose using conventional NBI. SHILAP Revista de lepidopterología. 8(3). E360–E367. 8 indexed citations
5.
Ichimasa, Katsuro, Shin‐ei Kudo, Yuichi Mori, et al.. (2019). 475 ARTIFICIAL INTELLIGENCE WILL HELP IN DETERMINING THE NEED FOR ADDITIONAL SURGERY AFTER ENDOSCOPIC RESECTION OF T1 COLORECTAL CANCER –ANALYSIS BASED ON A BIG DATA FOR MACHINE LEARNING. Gastrointestinal Endoscopy. 89(6). AB85–AB86. 2 indexed citations
6.
Ogata, Noriyuki, Kazuo Ohtsuka, Yasuharu Maeda, et al.. (2018). White light-emitting contrast image capsule endoscopy for visualization of small intestine lesions: a pilot study. SHILAP Revista de lepidopterología. 6(3). E315–E321. 4 indexed citations
7.
Sugihara, Yuusaku, Shin‐ei Kudo, Hideyuki Miyachi, et al.. (2017). In vivo detection of desmoplastic reaction using endocytoscopy: A new diagnostic marker of submucosal or more extensive invasion in colorectal carcinoma. Molecular and Clinical Oncology. 6(3). 291–295. 5 indexed citations
8.
Ichimasa, Katsuro, Shin‐ei Kudo, Hideyuki Miyachi, et al.. (2017). Patient gender as a factor associated with lymph node metastasis in T1 colorectal cancer: A systematic review and meta-analysis. Molecular and Clinical Oncology. 6(4). 517–524. 18 indexed citations
9.
Maeda, Yasuharu, Shin‐ei Kudo, Kunihiko Wakamura, et al.. (2017). The concept of ‘Semi-clean colon’ using the pit pattern classification system has the potential to be acceptable in combination with a <3-year surveillance colonoscopy. Oncology Letters. 14(3). 2735–2742. 4 indexed citations
10.
Yamauchi, Akihiro, Shin‐ei Kudo, Yuichi Mori, et al.. (2017). Retrospective analysis of large bowel obstruction or perforation caused by oral preparation for colonoscopy. SHILAP Revista de lepidopterología. 5(6). E471–E476. 5 indexed citations
11.
Ichimasa, Katsuro, Shin‐ei Kudo, Yuichi Mori, et al.. (2017). Su1643 Artificial Intelligence Can Accurately Predict the Presence of Lymph Node Metastasis in Pt1 Colorectal Cancers. Gastrointestinal Endoscopy. 85(5). AB377–AB377. 1 indexed citations
12.
Ichimasa, Katsuro, Shin‐ei Kudo, Hideyuki Miyachi, et al.. (2016). Comparative clinicopathological characteristics of colon and rectal T1 carcinoma. Oncology Letters. 13(2). 805–810. 11 indexed citations
13.
Kudo, Shin‐ei, Noriyuki Ogata, Kazuo Ohtsuka, et al.. (2016). 575 Narrow-Band Imaging Efficiency for Evaluation of Mucosal Healing/ Relapse of Ulcerative colitis. Gastrointestinal Endoscopy. 83(5). AB154–AB154. 4 indexed citations
14.
Ichimasa, Katsuro, Shin‐ei Kudo, Hideyuki Miyachi, et al.. (2016). Su1611 Does Gender Predict Lymph Node Metastasis in pT1 Colorectal Cancer? A Systematic Review and Meta-Analysis. Gastrointestinal Endoscopy. 83(5). AB363–AB364.
15.
Kouyama, Yuta, Shin‐ei Kudo, Hideyuki Miyachi, et al.. (2015). Practical problems of measuring depth of submucosal invasion in T1 colorectal carcinomas. International Journal of Colorectal Disease. 31(1). 137–146. 45 indexed citations
16.
Kudo, Shin‐ei, Masashi Misawa, Yoshiki Wada, et al.. (2015). Endocytoscopic microvasculature evaluation is a reliable new diagnostic method for colorectal lesions (with video). Gastrointestinal Endoscopy. 82(5). 912–923. 36 indexed citations
17.
Kudo, Shin‐ei, Takemasa Hayashi, Yasuharu Maeda, et al.. (2013). Tu1428 Endoscopic Mucosal Resection and Endoscopic Submucosal Dissection for Colorectal Laterally Spreading Tumors. Gastrointestinal Endoscopy. 77(5). AB537–AB537. 1 indexed citations
18.
Kudo, Shin‐ei, Yuusaku Sugihara, Hiroyuki Kida, et al.. (2013). Depressed-Type Colonic Lesions and “De Novo” Cancer in Familial Adenomatous Polyposis: A Colonoscopist’s Viewpoint. SHILAP Revista de lepidopterología. 2013. 1–6. 4 indexed citations
19.
Wada, Yukihiro, Toshiaki Kunimura, Shun Sato, et al.. (2008). Proliferating Potential and Apoptosis in the Development of Secondary Hyperparathyroidism: A Study Based on Ki‐67 Immunohistochemical Staining and the Terminal dUTP Nick‐End Labeling Assay. Therapeutic Apheresis and Dialysis. 12(4). 319–328. 7 indexed citations
20.
Ohike, Nobuyuki, Masashi Sato, Tomokazu Hisayuki, et al.. (2007). Immunohistochemical analysis of nestin and c‐kit and their significance in pancreatic tumors. Pathology International. 57(9). 589–593. 31 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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