Hideki Sumimoto
- Immunology top 0.5%
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 75
- Immune Response and Inflammation 27
- Immune cells in cancer 17
- Physiology top 0.5%
- Nitric Oxide and Endothelin Effects 45
- Sensory Systems top 0.5%
- Neurology top 1%
- Neuroinflammation and Neurodegeneration Mechanisms 12
- Cell Biology top 0.5%
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- Protein Kinase Regulation and GTPase Signaling 14
- S100 Proteins and Annexins 11
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- Cell Adhesion Molecules Research 13
- Co-authors
- Ryu TakeyaKei MiyanoTakashi ItoKoichiro TakeshigeAkira ShioseSachiko KamakuraHiroyuki NunoiShigeki Minakami
- Cited by
- ImmunologyPhysiologySensory Systems
- Journals
- Journal of Biological Chemistry (31 papers)Biochemical and Biophysical Research Communications (27 papers)Genes to Cells (12 papers)
- Partner nations
- JapanUnited StatesRussia
In The Last Decade
Hideki Sumimoto
176 papers receiving 10.1k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Immunology 4.1k
- Physiology 3.0k
- Sensory Systems 488
- Neurology 753
- Cell Biology 1.3k
Countries citing papers authored by Hideki Sumimoto
This map shows the geographic impact of Hideki Sumimoto'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 Hideki Sumimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideki Sumimoto more than expected).
Fields of papers citing papers by Hideki Sumimoto
This network shows the impact of papers produced by Hideki Sumimoto. 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 Hideki Sumimoto. The network helps show where Hideki Sumimoto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hideki Sumimoto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 6 | |
| 3 | 2019 | 9 | |
| 4 | 2013 | 62 | |
| 5 | 2013 | 30 | |
| 6 | 2012 | 4 | |
| 7 | 2012 | 35 | |
| 8 | 2010 | 24 | |
| 9 | 2009 | 16 | |
| 10 | 2006 | 35 | |
| 11 | 2006 | 73 | |
| 12 | 2005 | 45 | |
| 13 | 2005 | 1 | |
| 14 | 2005 | 155 | |
| 15 | 2004 | 115 | |
| 16 | 2004 | 162 | |
| 17 | 2004 | 35 | |
| 18 | 1997 | 38 | |
| 19 | 1994 | 13 | |
| 20 | 1985 | 1 |
About Hideki Sumimoto
Hideki Sumimoto is a scholar working on Immunology, Physiology and Immunology and Allergy, having authored 177 papers that have together received 10.3k indexed citations. Recurring topics across this work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (75 papers), Nitric Oxide and Endothelin Effects (45 papers), Immune Response and Inflammation (27 papers), Immune cells in cancer (17 papers), Protein Kinase Regulation and GTPase Signaling (14 papers), Cell Adhesion Molecules Research (13 papers), Neuroinflammation and Neurodegeneration Mechanisms (12 papers) and S100 Proteins and Annexins (11 papers). The work is most often cited by research in Immunology (4.1k citations), Physiology (3.0k citations) and Sensory Systems (488 citations). Hideki Sumimoto has collaborated with scholars based in Japan, United States and Russia. Frequent co-authors include Ryu Takeya, Kei Miyano, Takashi Ito, Koichiro Takeshige, Akira Shiose, Sachiko Kamakura, Hiroyuki Nunoi, Shigeki Minakami, Tetsuro Ago and Noriko Ueno. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Genes to Cells, European Journal of Biochemistry and Biochemical Journal.
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.