Hideaki Kimura
Impact in
- Genetics top 10%
- Inflammatory Bowel Disease
- Nephrology top 10%
- Renal Diseases and Glomerulopathies
Papers in
- Co-authors
- Reiko Kunisaki (30 shared papers)Takamichi Nakamura (4 shared papers)Yoji Yoshida (3 shared papers)Jun–ei Obata (3 shared papers)Akira Sugita (23 shared papers)Fujio Shimizu (2 shared papers)Kazutaka Koganei (24 shared papers)Shin Maeda (12 shared papers)
In The Last Decade
Hideaki Kimura
66 papers receiving 769 citations
Peers
Comparison fields: 5 of 76
- Genetics 309
- Nephrology 72
- Epidemiology 257
- Surgery 265
- Cardiology and Cardiovascular Medicine 130
Countries citing papers authored by Hideaki Kimura
This map shows the geographic impact of Hideaki Kimura'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 Hideaki Kimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideaki Kimura more than expected).
Fields of papers citing papers by Hideaki Kimura
This network shows the impact of papers produced by Hideaki Kimura. 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 Hideaki Kimura. The network helps show where Hideaki Kimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Hideaki Kimura, 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 | 1999 | 101 | |
| 2 | 2000 | 61 | |
| 3 | 2013 | 53 | |
| 4 | 2014 | 48 | |
| 5 | 2011 | 46 | |
| 6 | 2000 | 43 | |
| 7 | 2013 | 35 | |
| 8 | 1995 | 33 | |
| 9 | 2000 | 28 | |
| 10 | 2005 | 27 | |
| 11 | 2019 | 26 | |
| 12 | 2011 | 24 | |
| 13 | 2019 | 23 | |
| 14 | 2018 | 22 | |
| 15 | Requirement for a macromolecular factor for sodium azide activation of guanulate cyclase. | 1975 | 21 |
| 16 | Properties of guanylate cyclase from rat kidney cortex and transplantable kidney tumors. | 1976 | 18 |
| 17 | 2006 | 15 | |
| 18 | 2016 | 14 | |
| 19 | 2015 | 12 | |
| 20 | 2021 | 12 |
About Hideaki Kimura
Hideaki Kimura is a scholar working on Surgery, Genetics, Epidemiology, Oncology and Pulmonary and Respiratory Medicine, having authored 74 papers that have together received 807 indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (35 papers), Microscopic Colitis (19 papers), Diverticular Disease and Complications (15 papers), Colorectal Cancer Surgical Treatments (9 papers), Anorectal Disease Treatments and Outcomes (9 papers), Autoimmune and Inflammatory Disorders (9 papers), Colorectal and Anal Carcinomas (6 papers) and Genetic factors in colorectal cancer (5 papers). The work is most often cited by research in Genetics (309 citations), Nephrology (72 citations), Epidemiology (257 citations), Surgery (265 citations) and Cardiology and Cardiovascular Medicine (130 citations). Hideaki Kimura has collaborated with scholars based in Japan, India and Germany. Frequent co-authors include Reiko Kunisaki, Takamichi Nakamura, Yoji Yoshida, Jun–ei Obata, Akira Sugita, Fujio Shimizu, Kazutaka Koganei, Shin Maeda, Shinichi Ohno and Hiroshi Kawachi. Their work appears in journals such as Surgery Today, Journal of Crohn s and Colitis, International Journal of Colorectal Disease, Scandinavian Journal of Gastroenterology and Annals of Surgical Oncology.
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.