Sumiko Ohnami
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Oncology top 10%
- Pancreatic and Hepatic Oncology Research
Papers in
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- Cancer Genomics and Diagnostics 21
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- Epigenetics and DNA Methylation 7
- Co-authors
- Hiromi Sakamoto (14 shared papers)Teruhiko Yoshida (10 shared papers)Shumpei Ohnami (28 shared papers)Takeshi Nagashima (28 shared papers)Kenichi Urakami (31 shared papers)Yae Kanai (4 shared papers)Ken Yamaguchi (27 shared papers)Yasunori Sato (4 shared papers)
- Journals
- Scientific Reports (4 papers)BMC Cancer (3 papers)Cancer Science (3 papers)PLoS ONE (2 papers)Biochemical and Biophysical Research Communications (2 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Sumiko Ohnami
52 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 83
- Cancer Research 304
- Oncology 276
- Pathology and Forensic Medicine 169
- Molecular Biology 630
- Genetics 213
Countries citing papers authored by Sumiko Ohnami
This map shows the geographic impact of Sumiko Ohnami'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 Sumiko Ohnami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumiko Ohnami more than expected).
Fields of papers citing papers by Sumiko Ohnami
This network shows the impact of papers produced by Sumiko Ohnami. 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 Sumiko Ohnami. The network helps show where Sumiko Ohnami may publish in the future.
Co-authors
The 25 scholars most cited alongside Sumiko Ohnami, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 165 | |
| 2 | 2012 | 113 | |
| 3 | 2017 | 97 | |
| 4 | 2010 | 89 | |
| 5 | 2009 | 87 | |
| 6 | 2003 | 73 | |
| 7 | 2010 | 64 | |
| 8 | 2014 | 53 | |
| 9 | 2010 | 50 | |
| 10 | 2003 | 45 | |
| 11 | 2012 | 37 | |
| 12 | 2011 | 36 | |
| 13 | 2018 | 34 | |
| 14 | 2016 | 27 | |
| 15 | 2016 | 25 | |
| 16 | 2005 | 25 | |
| 17 | 2008 | 24 | |
| 18 | 2019 | 22 | |
| 19 | 2016 | 21 | |
| 20 | 2018 | 20 |
About Sumiko Ohnami
Sumiko Ohnami is a scholar working on Cancer Research, Molecular Biology, Oncology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 55 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (21 papers), Genetic factors in colorectal cancer (14 papers), Lung Cancer Treatments and Mutations (8 papers), Pancreatic and Hepatic Oncology Research (7 papers), Epigenetics and DNA Methylation (7 papers), BRCA gene mutations in cancer (4 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers) and Colorectal Cancer Treatments and Studies (4 papers). The work is most often cited by research in Cancer Research (304 citations), Oncology (276 citations), Pathology and Forensic Medicine (169 citations), Molecular Biology (630 citations) and Genetics (213 citations). Sumiko Ohnami has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Hiromi Sakamoto, Teruhiko Yoshida, Shumpei Ohnami, Takeshi Nagashima, Kenichi Urakami, Yae Kanai, Ken Yamaguchi, Yasunori Sato, Keiichi Ohshima and Suleeporn Sangrajrang. Their work appears in journals such as Scientific Reports, BMC Cancer, Cancer Science, PLoS ONE and Biochemical and Biophysical Research Communications.
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.