Tanenao Eto
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Cardiology and Cardiovascular Medicine
- Endocrinology, Diabetes and Metabolism top 10%
- Surgery
- Co-authors
- Johji KatoKenji KangawaKazuo KitamuraJunichiro SakataHisayuki MatsuoToru ShimokuboK. KitamuraNaoto Minamino
- Topics
- Receptor Mechanisms and Signaling (8 papers)Neuropeptides and Animal Physiology (8 papers)Heart Failure Treatment and Management (3 papers)
- Cited by
- Cellular and Molecular NeuroscienceCardiology and Cardiovascular MedicineEndocrinology, Diabetes and Metabolism
- Journals
- Biochemical and Biophysical Research CommunicationsEuropean Journal of BiochemistryCardiovascular Research
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Tanenao Eto
12 papers receiving 531 citations
Peers
Comparison fields: 5 of 68
- Cellular and Molecular Neuroscience 319
- Molecular Biology 287
- Cardiology and Cardiovascular Medicine 141
- Endocrinology, Diabetes and Metabolism 102
- Surgery 63
Countries citing papers authored by Tanenao Eto
This map shows the geographic impact of Tanenao Eto'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 Tanenao Eto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tanenao Eto more than expected).
Fields of papers citing papers by Tanenao Eto
This network shows the impact of papers produced by Tanenao Eto. 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 Tanenao Eto. The network helps show where Tanenao Eto may publish in the future.
Co-authorship network of co-authors of Tanenao Eto
This figure shows the co-authorship network connecting the top 25 collaborators of Tanenao Eto. A scholar is included among the top collaborators of Tanenao Eto 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 Tanenao Eto. Tanenao Eto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 165 | |
| 2 | 18 | |
| 3 | 39 | |
| 4 | 73 | |
| 5 | 6 | |
| 6 | 30 | |
| 7 | 42 | |
| 8 | 61 | |
| 9 | 55 | |
| 10 | 12 | |
| 11 | 24 | |
| 12 | 21 |
About Tanenao Eto
Tanenao Eto is a scholar working on Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 12 papers that have together received 546 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (8 papers), Neuropeptides and Animal Physiology (8 papers) and Heart Failure Treatment and Management (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (319 citations), Cardiology and Cardiovascular Medicine (141 citations) and Endocrinology, Diabetes and Metabolism (102 citations). Tanenao Eto has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Johji Kato, Kenji Kangawa, Kazuo Kitamura, Junichiro Sakata, Hisayuki Matsuo, Toru Shimokubo, K. Kitamura, Naoto Minamino, Hisayuki Matsuo and Naoto Yokota. Their work appears in journals such as Biochemical and Biophysical Research Communications, European Journal of Biochemistry and Cardiovascular Research.
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.