Eiji Nakashima
- Radiology, Nuclear Medicine and Imaging top 2%
- Endocrinology, Diabetes and Metabolism top 2%
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 5%
- Genetics top 10%
- Co-authors
- Masazumi AkahoshiKazuo NeriishiAtsushi MinamotoAyumi HidaMisa ImaizumiShinichiro IchimaruMidori SodaKatsusuke Yano
- Topics
- Radiation Dose and Imaging (24 papers)Effects of Radiation Exposure (14 papers)Cardiac electrophysiology and arrhythmias (7 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismRadiology, Nuclear Medicine and ImagingCardiology and Cardiovascular Medicine
- Partner nations
- JapanUnited StatesNetherlands
In The Last Decade
Eiji Nakashima
69 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 123
- Radiology, Nuclear Medicine and Imaging 882
- Endocrinology, Diabetes and Metabolism 645
- Molecular Biology 598
- Cardiology and Cardiovascular Medicine 564
- Genetics 290
Countries citing papers authored by Eiji Nakashima
This map shows the geographic impact of Eiji Nakashima'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 Eiji Nakashima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eiji Nakashima more than expected).
Fields of papers citing papers by Eiji Nakashima
This network shows the impact of papers produced by Eiji Nakashima. 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 Eiji Nakashima. The network helps show where Eiji Nakashima may publish in the future.
Co-authorship network of co-authors of Eiji Nakashima
This figure shows the co-authorship network connecting the top 25 collaborators of Eiji Nakashima. A scholar is included among the top collaborators of Eiji Nakashima 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 Eiji Nakashima. Eiji Nakashima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 41 | |
| 3 | 81 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 68 | |
| 7 | 25 | |
| 8 | 41 | |
| 9 | 73 | |
| 10 | 11 | |
| 11 | 14 | |
| 12 | 13 | |
| 13 | 16 | |
| 14 | 33 | |
| 15 | 1 | |
| 16 | 13 | |
| 17 | 23 | |
| 18 | 5 | |
| 19 | 0 | |
| 20 | 3 |
About Eiji Nakashima
Eiji Nakashima is a scholar working on Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism and Statistics and Probability, having authored 72 papers that have together received 2.7k indexed citations. Recurring topics across this work include Radiation Dose and Imaging (24 papers), Effects of Radiation Exposure (14 papers) and Cardiac electrophysiology and arrhythmias (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (645 citations), Radiology, Nuclear Medicine and Imaging (882 citations) and Cardiology and Cardiovascular Medicine (564 citations). Eiji Nakashima has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Masazumi Akahoshi, Kazuo Neriishi, Atsushi Minamoto, Ayumi Hida, Misa Imaizumi, Shinichiro Ichimaru, Midori Soda, Katsusuke Yano, Roy E. Shore and Shinji Seto. Their work appears in journals such as JAMA, Circulation and Journal of the American College of Cardiology.
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.