Shiro Naoe
- Surgery top 2%
- Pulmonary and Respiratory Medicine top 2%
- Infectious Diseases top 2%
- Epidemiology top 5%
- Molecular Biology
- Co-authors
- Kei TakahashiToshiaki OharasekiNoboru TanakaYuki YokouchiHirotake MasudaMegumi WakayamaKazutoshi ShibuyaShin Enosawa
- Topics
- Kawasaki Disease and Coronary Complications (31 papers)Coronary Artery Anomalies (21 papers)Vasculitis and related conditions (19 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Shiro Naoe
69 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 95
- Surgery 1.3k
- Pulmonary and Respiratory Medicine 1.0k
- Infectious Diseases 653
- Epidemiology 603
- Molecular Biology 481
Countries citing papers authored by Shiro Naoe
This map shows the geographic impact of Shiro Naoe'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 Shiro Naoe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shiro Naoe more than expected).
Fields of papers citing papers by Shiro Naoe
This network shows the impact of papers produced by Shiro Naoe. 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 Shiro Naoe. The network helps show where Shiro Naoe may publish in the future.
Co-authorship network of co-authors of Shiro Naoe
This figure shows the co-authorship network connecting the top 25 collaborators of Shiro Naoe. A scholar is included among the top collaborators of Shiro Naoe 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 Shiro Naoe. Shiro Naoe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 46 | |
| 2 | 12 | |
| 3 | 8 | |
| 4 | 22 | |
| 5 | 2 | |
| 6 | 134 | |
| 7 | 66 | |
| 8 | 4 | |
| 9 | 4 | |
| 10 | 47 | |
| 11 | 12 | |
| 12 | 15 | |
| 13 | 8 | |
| 14 | 43 | |
| 15 | Pathological Spectrum of Invasive Pulmonary Aspergillosis. Study of Pulmonary Lesions of 54 Autopsies and the Relationship Between Neutrophilic Response and Histologic Features of Lesions in Experimental Aspergillosis.:Study of Pulmonary Lesions of 54 Autopsies and the Relationship Between Neutrophilic Response and Histologic Features of Lesions in Experimental Aspergillosis | 1 |
| 16 | 10 | |
| 17 | 446 | |
| 18 | 137 | |
| 19 | 0 | |
| 20 | Kawasaki disease. Relationship with infantile periarteritis nodosa. | 129 |
About Shiro Naoe
Shiro Naoe is a scholar working on Microbiology, Pulmonary and Respiratory Medicine and Infectious Diseases, having authored 71 papers that have together received 2.6k indexed citations. Recurring topics across this work include Kawasaki Disease and Coronary Complications (31 papers), Coronary Artery Anomalies (21 papers) and Vasculitis and related conditions (19 papers). The work is most often cited by research in Infectious Diseases (653 citations), Pulmonary and Respiratory Medicine (1.0k citations) and Surgery (1.3k citations). Shiro Naoe has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Kei Takahashi, Toshiaki Oharaseki, Noboru Tanaka, Yuki Yokouchi, Hirotake Masuda, Megumi Wakayama, Kazutoshi Shibuya, Shin Enosawa, Takahisa Shinomiya and Kei Takahashi. Their work appears in journals such as The Journal of Infectious Diseases, Transplantation and Atherosclerosis.
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.