Daichi Kitaguchi
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Surgery top 10%
- Surgical Simulation and Training
Papers in
- Co-authors
- Masaaki Ito (56 shared papers)Nobuyoshi Takeshita (35 shared papers)Hiro Hasegawa (35 shared papers)Hiroki Matsuzaki (12 shared papers)Tatsuya Oda (16 shared papers)Kensaku Mori (5 shared papers)Masahiko Watanabe (2 shared papers)Yuichiro Tsukada (18 shared papers)
- Journals
- Surgical Endoscopy (16 papers)Langenbeck s Archives of Surgery (7 papers)International Journal of Surgery (5 papers)Annals of Gastroenterological Surgery (4 papers)British journal of surgery (3 papers)
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Daichi Kitaguchi
58 papers receiving 800 citations
Peers
Comparison fields: 5 of 70
- Health Informatics 84
- Surgery 390
- Oncology 181
- Radiology, Nuclear Medicine and Imaging 108
- Biomedical Engineering 131
Countries citing papers authored by Daichi Kitaguchi
This map shows the geographic impact of Daichi Kitaguchi'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 Daichi Kitaguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daichi Kitaguchi more than expected).
Fields of papers citing papers by Daichi Kitaguchi
This network shows the impact of papers produced by Daichi Kitaguchi. 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 Daichi Kitaguchi. The network helps show where Daichi Kitaguchi may publish in the future.
Co-authors
The 25 scholars most cited alongside Daichi Kitaguchi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 126 | |
| 2 | 2020 | 97 | |
| 3 | 2021 | 64 | |
| 4 | 2023 | 39 | |
| 5 | 2021 | 39 | |
| 6 | 2020 | 33 | |
| 7 | 2021 | 30 | |
| 8 | 2022 | 25 | |
| 9 | 2022 | 24 | |
| 10 | 2023 | 20 | |
| 11 | 2023 | 19 | |
| 12 | 2018 | 18 | |
| 13 | 2022 | 16 | |
| 14 | 2023 | 15 | |
| 15 | 2019 | 15 | |
| 16 | 2020 | 15 | |
| 17 | 2023 | 14 | |
| 18 | 2022 | 14 | |
| 19 | 2019 | 14 | |
| 20 | 2023 | 13 |
About Daichi Kitaguchi
Daichi Kitaguchi is a scholar working on Surgery, Oncology, Biomedical Engineering, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 74 papers that have together received 833 indexed citations. Recurring topics across this work include Surgical Simulation and Training (19 papers), Colorectal Cancer Surgical Treatments (16 papers), Colorectal and Anal Carcinomas (7 papers), Anorectal Disease Treatments and Outcomes (5 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers), Stoma care and complications (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Anatomy and Medical Technology (2 papers). The work is most often cited by research in Health Informatics (84 citations), Surgery (390 citations), Oncology (181 citations), Radiology, Nuclear Medicine and Imaging (108 citations) and Biomedical Engineering (131 citations). Daichi Kitaguchi has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Masaaki Ito, Nobuyoshi Takeshita, Hiro Hasegawa, Hiroki Matsuzaki, Tatsuya Oda, Kensaku Mori, Masahiko Watanabe, Yuichiro Tsukada, Shigehiro Kojima and Tsuyoshi Enomoto. Their work appears in journals such as Surgical Endoscopy, Langenbeck s Archives of Surgery, International Journal of Surgery, Annals of Gastroenterological Surgery and British journal of 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.