Kaori Shima
- Oncology top 0.5%
- Cancer-related Molecular Pathways 8
- Colorectal Cancer Treatments and Studies 7
- Pathology and Forensic Medicine top 0.5%
- Genetic factors in colorectal cancer 21
- Cancer Research top 1%
- Cancer, Lipids, and Metabolism 13
- Molecular Biology top 5%
- Epigenetics and DNA Methylation 17
- RNA modifications and cancer 8
- Cancer-related gene regulation 6
- Immunology top 5%
-
- Oral and Maxillofacial Pathology 7
- Co-authors
- Charles S. FuchsShuji OginoKatsuhiko NoshoYoshifumi BabaEdward L. GiovannucciNatsumi IraharaJeffrey A. MeyerhardtAndrew T. Chan
- Journals
- Clinical Cancer Research (9 papers)Cancer Epidemiology Biomarkers & Prevention (6 papers)Gastroenterology (3 papers)
- Partner nations
- United StatesJapanIndonesia
In The Last Decade
Kaori Shima
79 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Oncology 3.2k
- Pathology and Forensic Medicine 1.8k
- Cancer Research 1.3k
- Molecular Biology 2.3k
- Immunology 534
Countries citing papers authored by Kaori Shima
This map shows the geographic impact of Kaori Shima'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 Kaori Shima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaori Shima more than expected).
Fields of papers citing papers by Kaori Shima
This network shows the impact of papers produced by Kaori Shima. 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 Kaori Shima. The network helps show where Kaori Shima may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kaori Shima, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 0 | |
| 2 | 2019 | 10 | |
| 3 | 2013 | 33 | |
| 4 | 2012 | 25 | |
| 5 | 2011 | 207 | |
| 6 | 2011 | 2 | |
| 7 | 2010 | 48 | |
| 8 | 2010 | 31 | |
| 9 | 2010 | 63 | |
| 10 | 2010 | 147 | |
| 11 | 2010 | 103 | |
| 12 | 2010 | 64 | |
| 13 | 2009 | 308 | |
| 14 | 2009 | 65 | |
| 15 | 2009 | 114 | |
| 16 | 2009 | 40 | |
| 17 | 2008 | 229 | |
| 18 | 2005 | 13 | |
| 19 | 2002 | 1 | |
| 20 | 2001 | 64 |
About Kaori Shima
Kaori Shima is a scholar working on Pathology and Forensic Medicine, Otorhinolaryngology and Oncology, having authored 81 papers that have together received 5.7k indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (21 papers), Epigenetics and DNA Methylation (17 papers), Cancer, Lipids, and Metabolism (13 papers), Cancer-related Molecular Pathways (8 papers), RNA modifications and cancer (8 papers), Oral and Maxillofacial Pathology (7 papers), Colorectal Cancer Treatments and Studies (7 papers) and Cancer-related gene regulation (6 papers). The work is most often cited by research in Oncology (3.2k citations), Pathology and Forensic Medicine (1.8k citations) and Cancer Research (1.3k citations). Kaori Shima has collaborated with scholars based in United States, Japan and Indonesia. Frequent co-authors include Charles S. Fuchs, Shuji Ogino, Katsuhiko Nosho, Yoshifumi Baba, Edward L. Giovannucci, Natsumi Irahara, Jeffrey A. Meyerhardt, Andrew T. Chan, Shoko Kure and Gregory J. Kirkner. Their work appears in journals such as Clinical Cancer Research, Cancer Epidemiology Biomarkers & Prevention, Gastroenterology, PLoS ONE and Neoplasia.
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.