Yoshitaka Iwama
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Physiology
- Surgery
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Hiroyuki DaidaHiroshi MokunoKazunori ShimadaYoshirô WatanabeHiroshi YamaguchiSatoshi SunayamaAtsutoshi TakagiYoshihisa Urita
- Topics
- Cardiovascular Function and Risk Factors (5 papers)Probiotics and Fermented Foods (5 papers)Adipokines, Inflammation, and Metabolic Diseases (4 papers)
In The Last Decade
Yoshitaka Iwama
36 papers receiving 639 citations
Peers
Comparison fields: 5 of 89
- Cardiology and Cardiovascular Medicine 241
- Molecular Biology 138
- Physiology 118
- Surgery 114
- Endocrinology, Diabetes and Metabolism 102
Countries citing papers authored by Yoshitaka Iwama
This map shows the geographic impact of Yoshitaka Iwama'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 Yoshitaka Iwama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoshitaka Iwama more than expected).
Fields of papers citing papers by Yoshitaka Iwama
This network shows the impact of papers produced by Yoshitaka Iwama. 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 Yoshitaka Iwama. The network helps show where Yoshitaka Iwama may publish in the future.
Co-authorship network of co-authors of Yoshitaka Iwama
This figure shows the co-authorship network connecting the top 25 collaborators of Yoshitaka Iwama. A scholar is included among the top collaborators of Yoshitaka Iwama 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 Yoshitaka Iwama. Yoshitaka Iwama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 4 | |
| 10 | Effect of Chocolate Containing Lactobacillus brevis NTT001 on Intestinal Environment-A Randomized, Double-blind, Placebo-controlled, Crossover Trial- | 1 |
| 11 | 47 | |
| 12 | 23 | |
| 13 | 20 | |
| 14 | 26 | |
| 15 | 15 | |
| 16 | Circulating Oxidized Low-Density Lipoprotein Is an Independent Predictor for Cardiac Events in Patients with Coronary Artery Disease | 3 |
| 17 | 23 | |
| 18 | 14 | |
| 19 | 51 | |
| 20 | 63 |
About Yoshitaka Iwama
Yoshitaka Iwama is a scholar working on Cardiology and Cardiovascular Medicine, Biochemistry and Complementary and alternative medicine, having authored 38 papers that have together received 666 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (5 papers), Probiotics and Fermented Foods (5 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (241 citations), Biochemistry (44 citations) and Endocrinology, Diabetes and Metabolism (102 citations). Yoshitaka Iwama has collaborated with scholars based in Japan and Ireland. Frequent co-authors include Hiroyuki Daida, Hiroshi Mokuno, Kazunori Shimada, Yoshirô Watanabe, Hiroshi Yamaguchi, Satoshi Sunayama, Atsutoshi Takagi, Yoshihisa Urita, Fusao Ushio and Shuko Nojiri. Their work appears in journals such as European Heart Journal, The American Journal of Cardiology and Journal of Dairy Science.
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.