Takashi Kudoh
- Radiology, Nuclear Medicine and Imaging top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Pulmonary and Respiratory Medicine
- Physiology top 5%
- Surgery
- Co-authors
- Eiji TadamuraNaoya HattoriNagara TamakiMasayuki InubushiRyuji NoharaJunji KonishiHiroshi YamauchiYoshihiko Kishibe
- Topics
- Cardiac Imaging and Diagnostics (17 papers)Calcium signaling and nucleotide metabolism (12 papers)Advanced MRI Techniques and Applications (12 papers)
- Journals
- Journal of the American Chemical SocietyAngewandte Chemie International EditionJournal of the American College of Cardiology
- Partner nations
- JapanGermanyUnited Kingdom
In The Last Decade
Takashi Kudoh
56 papers receiving 870 citations
Peers
Comparison fields: 5 of 85
- Radiology, Nuclear Medicine and Imaging 476
- Cardiology and Cardiovascular Medicine 366
- Pulmonary and Respiratory Medicine 108
- Physiology 99
- Surgery 97
Countries citing papers authored by Takashi Kudoh
This map shows the geographic impact of Takashi Kudoh'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 Takashi Kudoh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takashi Kudoh more than expected).
Fields of papers citing papers by Takashi Kudoh
This network shows the impact of papers produced by Takashi Kudoh. 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 Takashi Kudoh. The network helps show where Takashi Kudoh may publish in the future.
Co-authorship network of co-authors of Takashi Kudoh
This figure shows the co-authorship network connecting the top 25 collaborators of Takashi Kudoh. A scholar is included among the top collaborators of Takashi Kudoh 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 Takashi Kudoh. Takashi Kudoh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 1 | |
| 3 | 17 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 13 | |
| 7 | 31 | |
| 8 | 4 | |
| 9 | 22 | |
| 10 | 11 | |
| 11 | 6 | |
| 12 | 22 | |
| 13 | 10 | |
| 14 | 14 | |
| 15 | 1 | |
| 16 | 41 | |
| 17 | 12 | |
| 18 | 44 | |
| 19 | 6 | |
| 20 | 8 |
About Takashi Kudoh
Takashi Kudoh is a scholar working on Physiology, Radiology, Nuclear Medicine and Imaging and Sensory Systems, having authored 56 papers that have together received 885 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (17 papers), Calcium signaling and nucleotide metabolism (12 papers) and Advanced MRI Techniques and Applications (12 papers). The work is most often cited by research in Physiology (99 citations), Radiology, Nuclear Medicine and Imaging (476 citations) and Cardiology and Cardiovascular Medicine (366 citations). Takashi Kudoh has collaborated with scholars based in Japan, Germany and United Kingdom. Frequent co-authors include Eiji Tadamura, Naoya Hattori, Nagara Tamaki, Masayuki Inubushi, Ryuji Nohara, Junji Konishi, Junji Konishi, Hiroshi Yamauchi, Yoshihiko Kishibe and Shinya Kagawa. Their work appears in journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition 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.