Mariyo Sakoda
- Cardiology and Cardiovascular Medicine top 1%
- Endocrinology, Diabetes and Metabolism top 1%
- Molecular Biology top 10%
- Surgery
- Pharmacology top 5%
- Co-authors
- Atsuhiro IchiharaYuki KaneshiroTomoko TakemitsuHiroshi ItohTsutomu NakagawaAkira NishiyamaTadashi InagamiAsako Kurauchi‐Mito
- Topics
- Renin-Angiotensin System Studies (21 papers)Hormonal Regulation and Hypertension (20 papers)Receptor Mechanisms and Signaling (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaCirculation ResearchKidney International
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Mariyo Sakoda
33 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 84
- Cardiology and Cardiovascular Medicine 1.7k
- Endocrinology, Diabetes and Metabolism 1.3k
- Molecular Biology 905
- Surgery 274
- Pharmacology 174
Countries citing papers authored by Mariyo Sakoda
This map shows the geographic impact of Mariyo Sakoda'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 Mariyo Sakoda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mariyo Sakoda more than expected).
Fields of papers citing papers by Mariyo Sakoda
This network shows the impact of papers produced by Mariyo Sakoda. 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 Mariyo Sakoda. The network helps show where Mariyo Sakoda may publish in the future.
Co-authorship network of co-authors of Mariyo Sakoda
This figure shows the co-authorship network connecting the top 25 collaborators of Mariyo Sakoda. A scholar is included among the top collaborators of Mariyo Sakoda 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 Mariyo Sakoda. Mariyo Sakoda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 8 | |
| 3 | 141 | |
| 4 | 38 | |
| 5 | 15 | |
| 6 | 49 | |
| 7 | 6 | |
| 8 | 26 | |
| 9 | 14 | |
| 10 | 8 | |
| 11 | 13 | |
| 12 | 19 | |
| 13 | 38 | |
| 14 | 16 | |
| 15 | 26 | |
| 16 | 45 | |
| 17 | 31 | |
| 18 | 213 | |
| 19 | 110 | |
| 20 | 126 |
About Mariyo Sakoda
Mariyo Sakoda is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Nephrology, having authored 33 papers that have together received 2.1k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (21 papers), Hormonal Regulation and Hypertension (20 papers) and Receptor Mechanisms and Signaling (11 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.3k citations), Cardiology and Cardiovascular Medicine (1.7k citations) and Nephrology (164 citations). Mariyo Sakoda has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Atsuhiro Ichihara, Yuki Kaneshiro, Tomoko Takemitsu, Hiroshi Itoh, Tsutomu Nakagawa, Akira Nishiyama, Tadashi Inagami, Asako Kurauchi‐Mito, Matsuhiko Hayashi and Fumiaki Suzuki. Their work appears in journals such as SHILAP Revista de lepidopterología, Circulation Research and Kidney International.
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.