Masaharu Ikeda
- Cardiology and Cardiovascular Medicine top 5%
- Molecular Biology
- Physiology top 5%
- Complementary and alternative medicine top 1%
- Nutrition and Dietetics top 5%
- Co-authors
- Hiroki NanriKuniaki EjimaMasanori OhtaK ArakawaMunehiro ShindoMunehito IdeishiKikuo ArakawaManabu Sasaguri
- Topics
- Protein Hydrolysis and Bioactive Peptides (10 papers)Muscle metabolism and nutrition (9 papers)Renin-Angiotensin System Studies (9 papers)
- Cited by
- Complementary and alternative medicineCardiology and Cardiovascular MedicineObstetrics and Gynecology
- Journals
- Journal of Biological ChemistryJournal of the American College of CardiologyThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Masaharu Ikeda
91 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 130
- Cardiology and Cardiovascular Medicine 652
- Molecular Biology 541
- Physiology 484
- Complementary and alternative medicine 328
- Nutrition and Dietetics 217
Countries citing papers authored by Masaharu Ikeda
This map shows the geographic impact of Masaharu 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 Masaharu Ikeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masaharu Ikeda more than expected).
Fields of papers citing papers by Masaharu Ikeda
This network shows the impact of papers produced by Masaharu 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 Masaharu Ikeda. The network helps show where Masaharu Ikeda may publish in the future.
Co-authorship network of co-authors of Masaharu Ikeda
This figure shows the co-authorship network connecting the top 25 collaborators of Masaharu Ikeda. A scholar is included among the top collaborators of Masaharu Ikeda based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Masaharu Ikeda. Masaharu Ikeda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 20 | |
| 4 | 25 | |
| 5 | [Serum levels of estradiol, progesterone and prolactin in patients with Yusho]. | 1 |
| 6 | 1 | |
| 7 | 57 | |
| 8 | 18 | |
| 9 | 53 | |
| 10 | 7 | |
| 11 | 49 | |
| 12 | 8 | |
| 13 | 3 | |
| 14 | 9 | |
| 15 | 48 | |
| 16 | 20 | |
| 17 | 6 | |
| 18 | 9 | |
| 19 | 40 | |
| 20 | 9 |
About Masaharu Ikeda
Masaharu Ikeda is a scholar working on Complementary and alternative medicine, Cardiology and Cardiovascular Medicine and Leadership and Management, having authored 96 papers that have together received 2.1k indexed citations. Recurring topics across this work include Protein Hydrolysis and Bioactive Peptides (10 papers), Muscle metabolism and nutrition (9 papers) and Renin-Angiotensin System Studies (9 papers). The work is most often cited by research in Complementary and alternative medicine (328 citations), Cardiology and Cardiovascular Medicine (652 citations) and Obstetrics and Gynecology (148 citations). Masaharu Ikeda has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Hiroki Nanri, Kuniaki Ejima, Masanori Ohta, K Arakawa, Munehiro Shindo, Munehito Ideishi, Kikuo Arakawa, Manabu Sasaguri, M Kashimura and H Nanri. Their work appears in journals such as Journal of Biological Chemistry, Journal of the American College of Cardiology and The Journal of Clinical Endocrinology & Metabolism.
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.