Shigeki Miyamoto
- Cancer Research top 0.2%
- NF-κB Signaling Pathways 58
- Immunology top 0.5%
- Immune Response and Inflammation 17
- interferon and immune responses 11
- Oncology top 1%
- Cancer-related Molecular Pathways 11
- Molecular Biology top 1%
- Ubiquitin and proteasome pathways 16
- Cell death mechanisms and regulation 16
- Hematology top 2%
- Multiple Myeloma Research and Treatments 17
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- Cardiac electrophysiology and arrhythmias 12
- Co-authors
- Inder M. VermaZhao‐Hui WuEdward M. SchwarzJennifer K. StevensonTony T. HuangShelly M. Wuerzberger‐DavisPaul J. ChiaoStuart D. Shumway
- Cited by
- Cancer ResearchImmunologyOncology
- Partner nations
- United StatesJapanGreece
In The Last Decade
Shigeki Miyamoto
152 papers receiving 8.7k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Cancer Research 3.9k
- Immunology 3.0k
- Oncology 2.1k
- Molecular Biology 5.1k
- Hematology 492
Countries citing papers authored by Shigeki Miyamoto
This map shows the geographic impact of Shigeki Miyamoto'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 Shigeki Miyamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shigeki Miyamoto more than expected).
Fields of papers citing papers by Shigeki Miyamoto
This network shows the impact of papers produced by Shigeki Miyamoto. 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 Shigeki Miyamoto. The network helps show where Shigeki Miyamoto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shigeki Miyamoto, 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 | 2 | |
| 2 | 2022 | 1 | |
| 3 | 2022 | 11 | |
| 4 | 2022 | 2 | |
| 5 | 2022 | 3 | |
| 6 | 2019 | 9 | |
| 7 | 2017 | 1 | |
| 8 | 2015 | 22 | |
| 9 | 2012 | 1 | |
| 10 | 2011 | 118 | |
| 11 | 2008 | 118 | |
| 12 | 2008 | 38 | |
| 13 | 2006 | 21 | |
| 14 | 2004 | 33 | |
| 15 | 2001 | 90 | |
| 16 | Block of Na exchangers on ischemia induced arrhythmias | 2000 | 1 |
| 17 | 2000 | 23 | |
| 18 | 1998 | 112 | |
| 19 | Operative Results of Stanford Type A Aortic Dissection Associated with a Compromised Coronary Artery | 1996 | 1 |
| 20 | 1995 | 11 |
About Shigeki Miyamoto
Shigeki Miyamoto is a scholar working on Cancer Research, Immunology and Hematology, having authored 157 papers that have together received 8.8k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (58 papers), Multiple Myeloma Research and Treatments (17 papers), Immune Response and Inflammation (17 papers), Ubiquitin and proteasome pathways (16 papers), Cell death mechanisms and regulation (16 papers), Cardiac electrophysiology and arrhythmias (12 papers), interferon and immune responses (11 papers) and Cancer-related Molecular Pathways (11 papers). The work is most often cited by research in Cancer Research (3.9k citations), Immunology (3.0k citations) and Oncology (2.1k citations). Shigeki Miyamoto has collaborated with scholars based in United States, Japan and Greece. Frequent co-authors include Inder M. Verma, Zhao‐Hui Wu, Edward M. Schwarz, Jennifer K. Stevenson, Tony T. Huang, Shelly M. Wuerzberger‐Davis, Paul J. Chiao, Stuart D. Shumway, Yuling Shi and I M Verma. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.