Takuroh Imamura
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 2%
- Cardiology and Cardiovascular Medicine top 2%
- Surgery top 10%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Tanenao EtoKazuo KitamuraYujiro AsadaYasushi KoiwayaJohji KatoToshihiro TsurudaKinta HatakeyamaKenji Kangawa
- Topics
- Neuropeptides and Animal Physiology (26 papers)Receptor Mechanisms and Signaling (23 papers)Hormonal Regulation and Hypertension (12 papers)
- Cited by
- Cellular and Molecular NeuroscienceCardiology and Cardiovascular MedicineEndocrinology, Diabetes and Metabolism
- Journals
- CirculationSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Takuroh Imamura
82 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 103
- Molecular Biology 953
- Cellular and Molecular Neuroscience 832
- Cardiology and Cardiovascular Medicine 821
- Surgery 493
- Pulmonary and Respiratory Medicine 343
Countries citing papers authored by Takuroh Imamura
This map shows the geographic impact of Takuroh Imamura'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 Takuroh Imamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takuroh Imamura more than expected).
Fields of papers citing papers by Takuroh Imamura
This network shows the impact of papers produced by Takuroh Imamura. 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 Takuroh Imamura. The network helps show where Takuroh Imamura may publish in the future.
Co-authorship network of co-authors of Takuroh Imamura
This figure shows the co-authorship network connecting the top 25 collaborators of Takuroh Imamura. A scholar is included among the top collaborators of Takuroh Imamura 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 Takuroh Imamura. Takuroh Imamura 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 | 15 | |
| 3 | 13 | |
| 4 | 1 | |
| 5 | 69 | |
| 6 | 35 | |
| 7 | 25 | |
| 8 | 74 | |
| 9 | 58 | |
| 10 | 7 | |
| 11 | 9 | |
| 12 | 34 | |
| 13 | 5 | |
| 14 | Clinical manifestations of influenza a myocarditis during the influenza epidemic of winter 1998-1999. | 60 |
| 15 | 9 | |
| 16 | 28 | |
| 17 | 27 | |
| 18 | 20 | |
| 19 | 3 | |
| 20 | 8 |
About Takuroh Imamura
Takuroh Imamura is a scholar working on Internal Medicine, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 83 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (26 papers), Receptor Mechanisms and Signaling (23 papers) and Hormonal Regulation and Hypertension (12 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (832 citations), Cardiology and Cardiovascular Medicine (821 citations) and Endocrinology, Diabetes and Metabolism (311 citations). Takuroh Imamura has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Tanenao Eto, Kazuo Kitamura, Yujiro Asada, Yasushi Koiwaya, Johji Kato, Toshihiro Tsuruda, Kinta Hatakeyama, Kenji Kangawa, Haruhiko Date and Atsushi Yamashita. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and PLoS ONE.
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.