Yukio Ishikawa
- Surgery top 2%
- Molecular Biology top 10%
- Pulmonary and Respiratory Medicine top 5%
- Pharmacology top 1%
- Cardiology and Cardiovascular Medicine top 2%
- Co-authors
- Toshiharu IshiiMakoto MurakamiIchiro KudoYoshikiyo AkasakaSeiko MasudaKinji ItoNoriko AsuwaHideko Kiguchi
- Topics
- Coronary Artery Anomalies (15 papers)Lymphatic System and Diseases (10 papers)Protein Kinase Regulation and GTPase Signaling (10 papers)
- Journals
- Journal of Biological ChemistryJournal of Clinical InvestigationThe Journal of Experimental Medicine
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Yukio Ishikawa
105 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 109
- Surgery 1.2k
- Molecular Biology 1.1k
- Pulmonary and Respiratory Medicine 839
- Pharmacology 792
- Cardiology and Cardiovascular Medicine 789
Countries citing papers authored by Yukio Ishikawa
This map shows the geographic impact of Yukio Ishikawa'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 Yukio Ishikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yukio Ishikawa more than expected).
Fields of papers citing papers by Yukio Ishikawa
This network shows the impact of papers produced by Yukio Ishikawa. 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 Yukio Ishikawa. The network helps show where Yukio Ishikawa may publish in the future.
Co-authorship network of co-authors of Yukio Ishikawa
This figure shows the co-authorship network connecting the top 25 collaborators of Yukio Ishikawa. A scholar is included among the top collaborators of Yukio Ishikawa 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 Yukio Ishikawa. Yukio Ishikawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 45 | |
| 2 | 94 | |
| 3 | PJ-480 A Study of Characteristics of Myocardial Bridge in Patients with Myocardial Infarction by Using Multi-Detector Computed Tomography(PJ081,CT/MRI (Coronary/Vascular) 3 (I),Poster Session (Japanese),The 73rd Annual Scientific Meeting of The Japanese Circulation Society) | 2 |
| 4 | 1 | |
| 5 | 22 | |
| 6 | 102 | |
| 7 | 179 | |
| 8 | 6 | |
| 9 | 64 | |
| 10 | 75 | |
| 11 | 57 | |
| 12 | 78 | |
| 13 | 50 | |
| 14 | 56 | |
| 15 | 32 | |
| 16 | 5 | |
| 17 | 2 | |
| 18 | 298 | |
| 19 | 20 | |
| 20 | 3 |
About Yukio Ishikawa
Yukio Ishikawa is a scholar working on Transplantation, Cardiology and Cardiovascular Medicine and Oncology, having authored 107 papers that have together received 4.2k indexed citations. Recurring topics across this work include Coronary Artery Anomalies (15 papers), Lymphatic System and Diseases (10 papers) and Protein Kinase Regulation and GTPase Signaling (10 papers). The work is most often cited by research in Pharmacology (792 citations), Biochemistry (270 citations) and Cardiology and Cardiovascular Medicine (789 citations). Yukio Ishikawa has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Toshiharu Ishii, Makoto Murakami, Ichiro Kudo, Yoshikiyo Akasaka, Seiko Masuda, Kinji Ito, Noriko Asuwa, Hideko Kiguchi, Daisuke Kamei and Shigeru Masuda. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and The Journal of Experimental Medicine.
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.