Mika Enomoto
- Cardiology and Cardiovascular Medicine top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Physiology top 10%
- Epidemiology top 10%
- Clinical Biochemistry top 2%
- Co-authors
- Hisashi AdachiTsutomu ImaizumiKumiko FurukiAsuka HinoYuji HiraiAko FukamiAkira SatohSho‐ichi Yamagishi
- Topics
- Cardiovascular Health and Disease Prevention (10 papers)Nutritional Studies and Diet (9 papers)Liver Disease Diagnosis and Treatment (7 papers)
- Cited by
- Clinical BiochemistryEndocrinology, Diabetes and MetabolismCardiology and Cardiovascular Medicine
- Journals
- CirculationSHILAP Revista de lepidopterologíaThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- JapanUnited States
In The Last Decade
Mika Enomoto
54 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 99
- Cardiology and Cardiovascular Medicine 384
- Endocrinology, Diabetes and Metabolism 368
- Physiology 360
- Epidemiology 274
- Clinical Biochemistry 230
Countries citing papers authored by Mika Enomoto
This map shows the geographic impact of Mika Enomoto'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 Enomoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mika Enomoto more than expected).
Fields of papers citing papers by Mika Enomoto
This network shows the impact of papers produced by Mika Enomoto. 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 Enomoto. The network helps show where Mika Enomoto may publish in the future.
Co-authorship network of co-authors of Mika Enomoto
This figure shows the co-authorship network connecting the top 25 collaborators of Mika Enomoto. A scholar is included among the top collaborators of Mika Enomoto 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 Enomoto. Mika Enomoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 35 | |
| 7 | 17 | |
| 8 | 10 | |
| 9 | 15 | |
| 10 | 19 | |
| 11 | 27 | |
| 12 | 6 | |
| 13 | 8 | |
| 14 | 会話・対話・談話研究のための分析単位 : ターン構成単位(TCU)( 多人数インタラクションの分析手法〔第4回〕) | 0 |
| 15 | 47 | |
| 16 | 105 | |
| 17 | 66 | |
| 18 | 35 | |
| 19 | 87 | |
| 20 | 40 |
About Mika Enomoto
Mika Enomoto is a scholar working on Clinical Biochemistry, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 56 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (10 papers), Nutritional Studies and Diet (9 papers) and Liver Disease Diagnosis and Treatment (7 papers). The work is most often cited by research in Clinical Biochemistry (230 citations), Endocrinology, Diabetes and Metabolism (368 citations) and Cardiology and Cardiovascular Medicine (384 citations). Mika Enomoto has collaborated with scholars based in Japan and United States. Frequent co-authors include Hisashi Adachi, Tsutomu Imaizumi, Kumiko Furuki, Asuka Hino, Yuji Hirai, Ako Fukami, Akira Satoh, Sho‐ichi Yamagishi, Shunichi Kumagae and Yoshihiro Fukumoto. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología 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.