Rie Ikeda
Impact in
- Toxicology top 2%
- Forensic Toxicology and Drug Analysis
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
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- Glycosylation and Glycoproteins Research 5
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- Prostate Cancer Treatment and Research 8
- Co-authors
- Mitsuhiro Wada (30 shared papers)Kenichiro Nakashima (29 shared papers)Naotaka Kuroda (21 shared papers)Masanori Murakoshi (20 shared papers)Hidetoshi Fujita (1 shared paper)Lei Zhang (1 shared paper)Setsuro Komiya (1 shared paper)Toshihiro Nakajima (1 shared paper)
- Journals
- Biomedical Chromatography (9 papers)Analytical and Bioanalytical Chemistry (3 papers)Forensic Toxicology (2 papers)Journal of Clinical Oncology (2 papers)Veterinary Sciences (2 papers)
- Partner nations
- JapanUnited StatesEgypt
In The Last Decade
Rie Ikeda
105 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 126
- Toxicology 84
- Hepatology 83
- Biological Psychiatry 22
- Behavioral Neuroscience 31
- Analytical Chemistry 75
Countries citing papers authored by Rie Ikeda
This map shows the geographic impact of Rie Ikeda'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 Rie Ikeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rie Ikeda more than expected).
Fields of papers citing papers by Rie Ikeda
This network shows the impact of papers produced by Rie Ikeda. 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 Rie Ikeda. The network helps show where Rie Ikeda may publish in the future.
Co-authors
The 25 scholars most cited alongside Rie Ikeda, 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 116 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 204 | |
| 2 | 2010 | 48 | |
| 3 | 2009 | 46 | |
| 4 | 2008 | 45 | |
| 5 | 2000 | 39 | |
| 6 | 2008 | 37 | |
| 7 | 2011 | 35 | |
| 8 | 2018 | 31 | |
| 9 | 2009 | 26 | |
| 10 | 2009 | 23 | |
| 11 | 2000 | 22 | |
| 12 | 2006 | 21 | |
| 13 | 2015 | 21 | |
| 14 | 2019 | 21 | |
| 15 | 2019 | 20 | |
| 16 | 2011 | 20 | |
| 17 | 2014 | 19 | |
| 18 | 2014 | 19 | |
| 19 | 2019 | 19 | |
| 20 | 2012 | 18 |
About Rie Ikeda
Rie Ikeda is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism, Surgery and Physiology, having authored 116 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (15 papers), Salivary Gland Disorders and Functions (13 papers), Prostate Cancer Treatment and Research (8 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Forensic Toxicology and Drug Analysis (6 papers), Analytical Methods in Pharmaceuticals (5 papers), Glycosylation and Glycoproteins Research (5 papers) and Folate and B Vitamins Research (5 papers). The work is most often cited by research in Toxicology (84 citations), Hepatology (83 citations), Biological Psychiatry (22 citations), Behavioral Neuroscience (31 citations) and Analytical Chemistry (75 citations). Rie Ikeda has collaborated with scholars based in Japan, United States and Egypt. Frequent co-authors include Mitsuhiro Wada, Kenichiro Nakashima, Naotaka Kuroda, Masanori Murakoshi, Hidetoshi Fujita, Lei Zhang, Setsuro Komiya, Toshihiro Nakajima, Satoko Aratani and Naoki Miura. Their work appears in journals such as Biomedical Chromatography, Analytical and Bioanalytical Chemistry, Forensic Toxicology, Journal of Clinical Oncology and Veterinary Sciences.
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.