Eiki Murakami
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism
- Cellular and Molecular Neuroscience
- Surgery
- Co-authors
- Kunio HiwadaTatsuo KokubuTakumi SumimotoMikio MukaiYoshikazu NakaokaKoji KodamaYasushi FujioMareomi Hamada
- Topics
- Hormonal Regulation and Hypertension (8 papers)Renin-Angiotensin System Studies (8 papers)Cardiac Imaging and Diagnostics (6 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrinology, Diabetes and MetabolismCellular and Molecular Neuroscience
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Eiki Murakami
38 papers receiving 356 citations
Peers
Comparison fields: 5 of 69
- Cardiology and Cardiovascular Medicine 203
- Molecular Biology 115
- Endocrinology, Diabetes and Metabolism 81
- Cellular and Molecular Neuroscience 54
- Surgery 49
Countries citing papers authored by Eiki Murakami
This map shows the geographic impact of Eiki Murakami'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 Eiki Murakami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eiki Murakami more than expected).
Fields of papers citing papers by Eiki Murakami
This network shows the impact of papers produced by Eiki Murakami. 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 Eiki Murakami. The network helps show where Eiki Murakami may publish in the future.
Co-authorship network of co-authors of Eiki Murakami
This figure shows the co-authorship network connecting the top 25 collaborators of Eiki Murakami. A scholar is included among the top collaborators of Eiki Murakami 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 Eiki Murakami. Eiki Murakami is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 74 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 8 | |
| 9 | 4 | |
| 10 | 13 | |
| 11 | Detection of perioperative coronary vasospasm on iodine-123-MIBG, thallium-201 and iodine-123-BMIPP myocardial SPECT images. | 4 |
| 12 | 1 | |
| 13 | 8 | |
| 14 | 6 | |
| 15 | [A case of squamous cell carcinoma of the thymus and thymic cyst]. | 4 |
| 16 | 8 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 2 | |
| 20 | 7 |
About Eiki Murakami
Eiki Murakami is a scholar working on Cardiology and Cardiovascular Medicine, Behavioral Neuroscience and Biochemistry, having authored 41 papers that have together received 378 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (8 papers), Renin-Angiotensin System Studies (8 papers) and Cardiac Imaging and Diagnostics (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (203 citations), Endocrinology, Diabetes and Metabolism (81 citations) and Cellular and Molecular Neuroscience (54 citations). Eiki Murakami has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Kunio Hiwada, Tatsuo Kokubu, Takumi Sumimoto, Mikio Mukai, Yoshikazu Nakaoka, Koji Kodama, Yasushi Fujio, Mareomi Hamada, Shoko Sugiyama and Yuichi Oshima. Their work appears in journals such as Endocrinology, CHEST Journal and Hypertension.
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.