Keigo Kimura
Impact in
- Nephrology top 2%
- Dialysis and Renal Disease Management
- Parathyroid Disorders and Treatments
- Endocrinology top 10%
Papers in
- Surgery 13
- Lipoproteins and Cardiovascular Health 3
- Epidemiology 10
- Infective Endocarditis Diagnosis and Management 7
- Co-authors
- Susumu Yukawa (9 shared papers)Haruhisa Otani (9 shared papers)Masatoshi Mune (7 shared papers)Isao Nishi (18 shared papers)Hideharu Hagiya (16 shared papers)Kazunori Tomono (14 shared papers)Nagahide Matsubara (2 shared papers)Takeshi Kambara (2 shared papers)
In The Last Decade
Keigo Kimura
41 papers receiving 687 citations
Peers
Comparison fields: 5 of 89
- Nephrology 219
- Endocrinology 64
- Pathology and Forensic Medicine 149
- Clinical Biochemistry 52
- Microbiology 5
Countries citing papers authored by Keigo Kimura
This map shows the geographic impact of Keigo 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 Keigo Kimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keigo Kimura more than expected).
Fields of papers citing papers by Keigo Kimura
This network shows the impact of papers produced by Keigo 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 Keigo Kimura. The network helps show where Keigo Kimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Keigo 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 181 | |
| 2 | 1999 | 85 | |
| 3 | 1999 | 82 | |
| 4 | 2011 | 41 | |
| 5 | 2014 | 41 | |
| 6 | 2018 | 38 | |
| 7 | 1999 | 38 | |
| 8 | 1999 | 32 | |
| 9 | 2018 | 18 | |
| 10 | 2019 | 14 | |
| 11 | 2010 | 13 | |
| 12 | Colorectal cancer with mutation in BRAF, KRAS and wild-type with respect to both oncogenes showing different patterns of DNA methylation | 2005 | 12 |
| 13 | 2017 | 11 | |
| 14 | 2021 | 9 | |
| 15 | 1997 | 9 | |
| 16 | 2019 | 9 | |
| 17 | 2018 | 8 | |
| 18 | 2018 | 7 | |
| 19 | 2018 | 7 | |
| 20 | 2021 | 5 |
About Keigo Kimura
Keigo Kimura is a scholar working on Surgery, Epidemiology, Infectious Diseases, Public Health, Environmental and Occupational Health and Endocrinology, having authored 44 papers that have together received 714 indexed citations. Recurring topics across this work include Infective Endocarditis Diagnosis and Management (7 papers), Bacterial Identification and Susceptibility Testing (5 papers), Streptococcal Infections and Treatments (5 papers), Antimicrobial Resistance in Staphylococcus (4 papers), Parathyroid Disorders and Treatments (3 papers), Lipoproteins and Cardiovascular Health (3 papers), Dialysis and Renal Disease Management (3 papers) and Genetic factors in colorectal cancer (2 papers). The work is most often cited by research in Nephrology (219 citations), Endocrinology (64 citations), Pathology and Forensic Medicine (149 citations), Clinical Biochemistry (52 citations) and Microbiology (5 citations). Keigo Kimura has collaborated with scholars based in Japan, Australia and India. Frequent co-authors include Susumu Yukawa, Haruhisa Otani, Masatoshi Mune, Isao Nishi, Hideharu Hagiya, Kazunori Tomono, Nagahide Matsubara, Takeshi Kambara, Noriaki Tanaka and Takeshi Nagasaka. Their work appears in journals such as Kidney International, Medicine, Journal of Clinical Oncology, The Thoracic and Cardiovascular Surgeon and Ophthalmology.
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.