Rie Ikeda
Impact in
- Toxicology top 2%
- Forensic Toxicology and Drug Analysis
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
-
- Hormonal and reproductive studies 16
-
- Glycosylation and Glycoproteins Research 5
- Co-authors
- Mitsuhiro Wada (30 shared papers)Kenichiro Nakashima (29 shared papers)Naotaka Kuroda (21 shared papers)Masanori Murakoshi (21 shared papers)Kusuki Nishioka (1 shared paper)Satoko Aratani (1 shared paper)Naoki Miura (1 shared paper)Hiroshi Shin (1 shared paper)
- Journals
- Biomedical Chromatography (9 papers)Analytical and Bioanalytical Chemistry (3 papers)Journal of Chromatography A (2 papers)Veterinary Sciences (2 papers)Hepatology Research (2 papers)
- Partner nations
- JapanUnited StatesBelgium
In The Last Decade
Rie Ikeda
108 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 120
- Toxicology 90
- Hepatology 84
- Biological Psychiatry 20
- Behavioral Neuroscience 27
- Analytical Chemistry 79
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 119 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 213 | |
| 2 | 2010 | 55 | |
| 3 | 2009 | 48 | |
| 4 | 2008 | 45 | |
| 5 | 2008 | 39 | |
| 6 | 2000 | 38 | |
| 7 | 2011 | 37 | |
| 8 | 2018 | 31 | |
| 9 | 2009 | 26 | |
| 10 | 2009 | 24 | |
| 11 | 2000 | 24 | |
| 12 | 2011 | 22 | |
| 13 | 2006 | 21 | |
| 14 | 2019 | 21 | |
| 15 | 2019 | 21 | |
| 16 | 2015 | 21 | |
| 17 | 2014 | 20 | |
| 18 | 2019 | 20 | |
| 19 | 2012 | 19 | |
| 20 | 2014 | 19 |
About Rie Ikeda
Rie Ikeda is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Pulmonary and Respiratory Medicine, Physiology and Surgery, having authored 119 papers that have together received 1.4k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (16 papers), Salivary Gland Disorders and Functions (14 papers), Prostate Cancer Treatment and Research (8 papers), Forensic Toxicology and Drug Analysis (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Glycosylation and Glycoproteins Research (5 papers), Folate and B Vitamins Research (5 papers) and Analytical Methods in Pharmaceuticals (5 papers). The work is most often cited by research in Toxicology (90 citations), Hepatology (84 citations), Biological Psychiatry (20 citations), Behavioral Neuroscience (27 citations) and Analytical Chemistry (79 citations). Rie Ikeda has collaborated with scholars based in Japan, United States and Belgium. Frequent co-authors include Mitsuhiro Wada, Kenichiro Nakashima, Naotaka Kuroda, Masanori Murakoshi, Kusuki Nishioka, Satoko Aratani, Naoki Miura, Hiroshi Shin, Masashi Tagawa and Setsuro Komiya. Their work appears in journals such as Biomedical Chromatography, Analytical and Bioanalytical Chemistry, Journal of Chromatography A, Veterinary Sciences and Hepatology Research.
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.