Mika Hayano
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Pharmacology top 2%
- Genetics top 10%
- Pharmaceutical Science top 5%
- Co-authors
- Ralph I. DorfmanMarcel GutT MoratoVladimir StefanovićHoward J. RingoldMarjorie C. LindbergHarry J. BrodieKyutaro Shimizu
- Topics
- Steroid Chemistry and Biochemistry (25 papers)Estrogen and related hormone effects (10 papers)Hormonal Regulation and Hypertension (7 papers)
- Journals
- Journal of the American Chemical SocietyJournal of Biological ChemistryBiochemical and Biophysical Research Communications
- Partner nations
- United StatesJapanGermany
In The Last Decade
Mika Hayano
39 papers receiving 825 citations
Peers
Comparison fields: 5 of 88
- Molecular Biology 571
- Endocrinology, Diabetes and Metabolism 366
- Pharmacology 249
- Genetics 216
- Pharmaceutical Science 116
Countries citing papers authored by Mika Hayano
This map shows the geographic impact of Mika Hayano'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 Mika Hayano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mika Hayano more than expected).
Fields of papers citing papers by Mika Hayano
This network shows the impact of papers produced by Mika Hayano. 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 Mika Hayano. The network helps show where Mika Hayano may publish in the future.
Co-authorship network of co-authors of Mika Hayano
This figure shows the co-authorship network connecting the top 25 collaborators of Mika Hayano. A scholar is included among the top collaborators of Mika Hayano 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 Mika Hayano. Mika Hayano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 24 | |
| 5 | 9 | |
| 6 | 33 | |
| 7 | 45 | |
| 8 | 8 | |
| 9 | 7 | |
| 10 | 83 | |
| 11 | 17 | |
| 12 | 66 | |
| 13 | 34 | |
| 14 | 6 | |
| 15 | 73 | |
| 16 | 4 | |
| 17 | 28 | |
| 18 | 57 | |
| 19 | 65 | |
| 20 | 22 |
About Mika Hayano
Mika Hayano is a scholar working on Endocrinology, Diabetes and Metabolism, Pharmaceutical Science and Pharmacology, having authored 40 papers that have together received 1.0k indexed citations. Recurring topics across this work include Steroid Chemistry and Biochemistry (25 papers), Estrogen and related hormone effects (10 papers) and Hormonal Regulation and Hypertension (7 papers). The work is most often cited by research in Pharmacology (249 citations), Endocrinology, Diabetes and Metabolism (366 citations) and Pharmaceutical Science (116 citations). Mika Hayano has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Ralph I. Dorfman, Marcel Gut, T Morato, Vladimir Stefanović, Howard J. Ringold, Marjorie C. Lindberg, Harry J. Brodie, Kyutaro Shimizu, Carlos García Gual and John Hancock. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Biochemical and Biophysical Research Communications.
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.