Hayakazu Sumida
- Cardiology and Cardiovascular Medicine top 2%
- Pathology and Forensic Medicine top 2%
- Immunology top 5%
- Molecular Biology
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- K KikutaMichihisa JougasakiHirofumi YasueMichihiro YoshimuraMasashi MukoyamaHisao OgawaKiyotaka KugiyamaKōichi Nakao
- Topics
- Systemic Sclerosis and Related Diseases (38 papers)Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (8 papers)Inflammatory Myopathies and Dermatomyositis (8 papers)
- Partner nations
- JapanUnited StatesTaiwan
In The Last Decade
Hayakazu Sumida
58 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Cardiology and Cardiovascular Medicine 998
- Pathology and Forensic Medicine 552
- Immunology 463
- Molecular Biology 426
- Pulmonary and Respiratory Medicine 394
Countries citing papers authored by Hayakazu Sumida
This map shows the geographic impact of Hayakazu Sumida'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 Hayakazu Sumida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hayakazu Sumida more than expected).
Fields of papers citing papers by Hayakazu Sumida
This network shows the impact of papers produced by Hayakazu Sumida. 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 Hayakazu Sumida. The network helps show where Hayakazu Sumida may publish in the future.
Co-authorship network of co-authors of Hayakazu Sumida
This figure shows the co-authorship network connecting the top 25 collaborators of Hayakazu Sumida. A scholar is included among the top collaborators of Hayakazu Sumida 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 Hayakazu Sumida. Hayakazu Sumida 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 | 1 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 27 | |
| 8 | 0 | |
| 9 | 5 | |
| 10 | 59 | |
| 11 | 71 | |
| 12 | 10 | |
| 13 | 44 | |
| 14 | 20 | |
| 15 | 12 | |
| 16 | 22 | |
| 17 | 9 | |
| 18 | 15 | |
| 19 | 19 | |
| 20 | 30 |
About Hayakazu Sumida
Hayakazu Sumida is a scholar working on Pathology and Forensic Medicine, Dermatology and Immunology, having authored 61 papers that have together received 2.3k indexed citations. Recurring topics across this work include Systemic Sclerosis and Related Diseases (38 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (8 papers) and Inflammatory Myopathies and Dermatomyositis (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (998 citations), Pathology and Forensic Medicine (552 citations) and Dermatology (247 citations). Hayakazu Sumida has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include K Kikuta, Michihisa Jougasaki, Hirofumi Yasue, Michihiro Yoshimura, Masashi Mukoyama, Hisao Ogawa, Kiyotaka Kugiyama, Kōichi Nakao, Kazuhiro Okumura and Shinichi Sato. Their work appears in journals such as Circulation, Nature Communications 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.