Yuichi Mori

9.6k citations
225 papers · 4.5k · h-index 37

Impact in

Papers in

Yuichi Mori

198 papers receiving 4.4k citations

Peers

Yuichi Mori
Comparison fields: 5 of 177
  • Health Informatics 181
  • Oncology 2.4k
  • Gastroenterology 394
  • Radiology, Nuclear Medicine and Imaging 964
  • Pulmonary and Respiratory Medicine 1.1k
Replace Tomohiro Tada with:
Tomohiro Tada Japan
Hiroaki Saito Japan
Di Dong China
Michitaka Fujiwara Japan
Peixi Liu China
Dimitris K. Iakovidis Greece
Ruijiang Li United States
Zaiyi Liu China
Olivier Gevaert United States
Wei Qian China
Yuichi Mori relative to Tomohiro Tada Japan Tomohiro Tada's profile →
Citations per field
00.5×3.8×
Tomohiro Tada · 1×
Citations per year

Countries citing papers authored by Yuichi Mori

Since Specialization
Citations

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

Fields of papers citing papers by Yuichi Mori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yuichi Mori, 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 Yuichi Mori Line = papers co-authored together Yuichi Mori links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 225 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019217
2 2020173
3 2018173
4 2004150
5 2020143
6 2022137
7 2016121
8 2017114
9 2018111
10 2017106
11 2011105
12 2014105
13
Improvement of solubility of p-boronophenylalanine by complex formation with monosaccharides.
1989103
14 2017100
15 201999
16 202099
17 201994
18 201891
19 201686
20 202083

About Yuichi Mori

Yuichi Mori is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Surgery, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 225 papers that have together received 4.5k indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (88 papers), Gastric Cancer Management and Outcomes (49 papers), Radiomics and Machine Learning in Medical Imaging (30 papers), Colorectal Cancer Surgical Treatments (24 papers), Esophageal Cancer Research and Treatment (16 papers), AI in cancer detection (15 papers), Genetic factors in colorectal cancer (9 papers) and Gastrointestinal Bleeding Diagnosis and Treatment (7 papers). The work is most often cited by research in Health Informatics (181 citations), Oncology (2.4k citations), Gastroenterology (394 citations), Radiology, Nuclear Medicine and Imaging (964 citations) and Pulmonary and Respiratory Medicine (1.1k citations). Yuichi Mori has collaborated with scholars based in Japan, Norway and United States. Frequent co-authors include Masashi Misawa, Shin‐ei Kudo, Kensaku Mori, Kunihiko Wakamura, Toyoki Kudo, Fumio Ishida, Hideyuki Miyachi, Masahiro Oda, Haruhiro Inoue and Takemasa Hayashi. Their work appears in journals such as Gastrointestinal Endoscopy, Endoscopy, Digestive Endoscopy, Gastroenterology and International Journal of Computer Assisted Radiology 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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