Hideaki Morita
- Immunology top 1%
- Surgery top 2%
- Physiology top 2%
- Immunology and Allergy top 0.5%
- Cardiology and Cardiovascular Medicine top 5%
- Co-authors
- Kenji MatsumotoHirohisa SaitoSusumu NakaeKen AraeCezmi A. AkdişShigeo KoyasuKazuyo MoroKatsuko Sudo
- Topics
- Eosinophilic Esophagitis (39 papers)IL-33, ST2, and ILC Pathways (36 papers)Asthma and respiratory diseases (30 papers)
- Journals
- Proceedings of the National Academy of SciencesCirculationSHILAP Revista de lepidopterología
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Hideaki Morita
157 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Immunology 1.8k
- Surgery 1.5k
- Physiology 1.2k
- Immunology and Allergy 810
- Cardiology and Cardiovascular Medicine 663
Countries citing papers authored by Hideaki Morita
This map shows the geographic impact of Hideaki Morita'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 Hideaki Morita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideaki Morita more than expected).
Fields of papers citing papers by Hideaki Morita
This network shows the impact of papers produced by Hideaki Morita. 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 Hideaki Morita. The network helps show where Hideaki Morita may publish in the future.
Co-authorship network of co-authors of Hideaki Morita
This figure shows the co-authorship network connecting the top 25 collaborators of Hideaki Morita. A scholar is included among the top collaborators of Hideaki Morita 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 Hideaki Morita. Hideaki Morita is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 21 | |
| 8 | Distribution of ACE2, CD147, CD26, and other SARS‐CoV‐2 associated molecules in tissues and immune cells in health and in asthma, COPD, obesity, hypertension, and COVID‐19 risk factorsbreakdown → | 387 |
| 9 | 23 | |
| 10 | 42 | |
| 11 | 5 | |
| 12 | 13 | |
| 13 | 107 | |
| 14 | 4 | |
| 15 | IL-33 is a crucial amplifier of innate rather than acquired immunitybreakdown → | 534 |
| 16 | 26 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 20 | |
| 20 | 2 |
About Hideaki Morita
Hideaki Morita is a scholar working on Immunology and Allergy, Immunology and Dermatology, having authored 167 papers that have together received 4.6k indexed citations. Recurring topics across this work include Eosinophilic Esophagitis (39 papers), IL-33, ST2, and ILC Pathways (36 papers) and Asthma and respiratory diseases (30 papers). The work is most often cited by research in Immunology and Allergy (810 citations), Immunology (1.8k citations) and Dermatology (461 citations). Hideaki Morita has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Kenji Matsumoto, Hirohisa Saito, Susumu Nakae, Ken Arae, Cezmi A. Akdiş, Shigeo Koyasu, Kazuyo Moro, Katsuko Sudo, Akio Matsuda and George Suzuki. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation 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.