Yoshimi Kitada
- Cardiology and Cardiovascular Medicine top 5%
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Pathology and Forensic Medicine top 10%
- Biomedical Engineering
- Co-authors
- Tatsuo MiyauchiSusumu SatohR. John SolaroAkihiro NarimatsuAkiko K. SatohNaoya SatohIstván ÉdesJulius Gy. Papp
- Topics
- Cardiac electrophysiology and arrhythmias (13 papers)Cardiovascular Function and Risk Factors (9 papers)Analytical Chemistry and Chromatography (8 papers)
- Cited by
- Behavioral NeuroscienceCardiology and Cardiovascular MedicineCellular and Molecular Neuroscience
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Yoshimi Kitada
82 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 88
- Cardiology and Cardiovascular Medicine 437
- Molecular Biology 403
- Cellular and Molecular Neuroscience 186
- Pathology and Forensic Medicine 121
- Biomedical Engineering 101
Countries citing papers authored by Yoshimi Kitada
This map shows the geographic impact of Yoshimi Kitada'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 Yoshimi Kitada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoshimi Kitada more than expected).
Fields of papers citing papers by Yoshimi Kitada
This network shows the impact of papers produced by Yoshimi Kitada. 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 Yoshimi Kitada. The network helps show where Yoshimi Kitada may publish in the future.
Co-authorship network of co-authors of Yoshimi Kitada
This figure shows the co-authorship network connecting the top 25 collaborators of Yoshimi Kitada. A scholar is included among the top collaborators of Yoshimi Kitada 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 Yoshimi Kitada. Yoshimi Kitada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 6 | |
| 3 | 18 | |
| 4 | 69 | |
| 5 | 20 | |
| 6 | 47 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 5 | |
| 12 | 4 | |
| 13 | 74 | |
| 14 | 3 | |
| 15 | 14 | |
| 16 | 8 | |
| 17 | 13 | |
| 18 | 2 | |
| 19 | 15 | |
| 20 | 1 |
About Yoshimi Kitada
Yoshimi Kitada is a scholar working on Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine and Food Science, having authored 83 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (13 papers), Cardiovascular Function and Risk Factors (9 papers) and Analytical Chemistry and Chromatography (8 papers). The work is most often cited by research in Behavioral Neuroscience (70 citations), Cardiology and Cardiovascular Medicine (437 citations) and Cellular and Molecular Neuroscience (186 citations). Yoshimi Kitada has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Tatsuo Miyauchi, Susumu Satoh, R. John Solaro, Akihiro Narimatsu, Akiko K. Satoh, Naoya Satoh, István Édes, Julius Gy. Papp, Evangelia G. Kranias and Éva Kiss. Their work appears in journals such as Journal of Biological Chemistry, Circulation Research and Analytical Chemistry.
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.