Yoshiro Naito
- Cardiology and Cardiovascular Medicine top 5%
- Pulmonary and Respiratory Medicine top 5%
- Surgery top 10%
- Molecular Biology
- Hematology top 2%
- Co-authors
- Tohru MasuyamaTakeshi TsujinoMitsumasa OhyanagiHisashi SawadaShinichi HirotaniMika MatsumotoTsuyoshi SakodaAkiyo Eguchi
- Topics
- Heart Failure Treatment and Management (23 papers)Cardiovascular Function and Risk Factors (19 papers)Iron Metabolism and Disorders (17 papers)
- Journals
- CirculationSHILAP Revista de lepidopterologíaBioinformatics
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Yoshiro Naito
105 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 118
- Cardiology and Cardiovascular Medicine 562
- Pulmonary and Respiratory Medicine 447
- Surgery 395
- Molecular Biology 369
- Hematology 361
Countries citing papers authored by Yoshiro Naito
This map shows the geographic impact of Yoshiro Naito'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 Yoshiro Naito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoshiro Naito more than expected).
Fields of papers citing papers by Yoshiro Naito
This network shows the impact of papers produced by Yoshiro Naito. 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 Yoshiro Naito. The network helps show where Yoshiro Naito may publish in the future.
Co-authorship network of co-authors of Yoshiro Naito
This figure shows the co-authorship network connecting the top 25 collaborators of Yoshiro Naito. A scholar is included among the top collaborators of Yoshiro Naito 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 Yoshiro Naito. Yoshiro Naito is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 8 | |
| 5 | 8 | |
| 6 | 8 | |
| 7 | 5 | |
| 8 | 30 | |
| 9 | 7 | |
| 10 | 4 | |
| 11 | 111 | |
| 12 | 23 | |
| 13 | 6 | |
| 14 | 21 | |
| 15 | 3 | |
| 16 | 9 | |
| 17 | 119 | |
| 18 | Improved Collision Attack on MD4 with Probability Almost 1 | 1 |
| 19 | 48 | |
| 20 | [Long-term follow-up on the closure of ventricular septal defect by pericardial autograft]. | 0 |
About Yoshiro Naito
Yoshiro Naito is a scholar working on Cardiology and Cardiovascular Medicine, Hematology and Nephrology, having authored 115 papers that have together received 1.8k indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (23 papers), Cardiovascular Function and Risk Factors (19 papers) and Iron Metabolism and Disorders (17 papers). The work is most often cited by research in Hematology (361 citations), Cardiology and Cardiovascular Medicine (562 citations) and Aging (32 citations). Yoshiro Naito has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Tohru Masuyama, Takeshi Tsujino, Mitsumasa Ohyanagi, Hisashi Sawada, Shinichi Hirotani, Mika Matsumoto, Tsuyoshi Sakoda, Akiyo Eguchi, Toshihiro Iwasaku and Hirokuni Akahori. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and Bioinformatics.
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.