Atsushi Izawa
- Molecular Biology top 10%
- Cardiology and Cardiovascular Medicine top 2%
- Surgery top 5%
- Immunology top 5%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Uichi IkedaMasafumi TakahashiJun KoyamaHajime MorimotoMinoru HongoYuichiro KashimaMohamed H. SayeghJun Nakayama
- Topics
- Peripheral Artery Disease Management (12 papers)Cardiac Imaging and Diagnostics (11 papers)Cardiovascular Function and Risk Factors (10 papers)
- Journals
- CirculationJournal of Clinical InvestigationSHILAP Revista de lepidopterología
- Partner nations
- JapanUnited StatesSpain
In The Last Decade
Atsushi Izawa
104 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Molecular Biology 1.1k
- Cardiology and Cardiovascular Medicine 912
- Surgery 761
- Immunology 606
- Pulmonary and Respiratory Medicine 309
Countries citing papers authored by Atsushi Izawa
This map shows the geographic impact of Atsushi Izawa'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 Atsushi Izawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atsushi Izawa more than expected).
Fields of papers citing papers by Atsushi Izawa
This network shows the impact of papers produced by Atsushi Izawa. 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 Atsushi Izawa. The network helps show where Atsushi Izawa may publish in the future.
Co-authorship network of co-authors of Atsushi Izawa
This figure shows the co-authorship network connecting the top 25 collaborators of Atsushi Izawa. A scholar is included among the top collaborators of Atsushi Izawa 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 Atsushi Izawa. Atsushi Izawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 9 | |
| 5 | 53 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | 9 | |
| 13 | 15 | |
| 14 | 36 | |
| 15 | Abstract 1375: Cardiac Overexpression of Monocyte Chemoattractant Protein-1 in Transgenic Mice Prevents Cardiac Dysfunction and Remodeling After Myocardial Infarction | 1 |
| 16 | 24 | |
| 17 | 7 | |
| 18 | 117 | |
| 19 | 3 | |
| 20 | 69 |
About Atsushi Izawa
Atsushi Izawa is a scholar working on Cardiology and Cardiovascular Medicine, Immunology and Allergy and Nephrology, having authored 104 papers that have together received 2.8k indexed citations. Recurring topics across this work include Peripheral Artery Disease Management (12 papers), Cardiac Imaging and Diagnostics (11 papers) and Cardiovascular Function and Risk Factors (10 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (912 citations), Transplantation (93 citations) and Immunology (606 citations). Atsushi Izawa has collaborated with scholars based in Japan, United States and Spain. Frequent co-authors include Uichi Ikeda, Masafumi Takahashi, Jun Koyama, Hajime Morimoto, Minoru Hongo, Yuichiro Kashima, Mohamed H. Sayegh, Jun Nakayama, Shun’ichiro Taniguchi and Takeki Hata. Their work appears in journals such as Circulation, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.
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.