Shigeki Miyamoto

13.1k citations
157 papers · 8.8k indexed · 1 hit paper · h-index 42
Topics
NF-κB Signaling Pathways (58 papers)Multiple Myeloma Research and Treatments (17 papers)Immune Response and Inflammation (17 papers)
Partner nations
United StatesJapanGreece

In The Last Decade

Shigeki Miyamoto

152 papers receiving 8.7k citations

Hit Papers

Rel/NF-kappa B/I kappa B family: intimate tales of associ...1995202620052015199550010001.5k

Peers

Shigeki Miyamoto
Comparison fields: 5 of 132
  • Molecular Biology 5.1k
  • Cancer Research 3.9k
  • Immunology 3.0k
  • Oncology 2.1k
  • Cell Biology 526
Replace Brydon L. Bennett with:
Brydon L. Bennett United States
Gwyn T. Williams United Kingdom
Anthony M. Manning United States
Frank Mercurio United States
Daniel Krappmann Germany
Claus Scheidereit Germany
Lawrence M. Pfeffer United States
Vinay Tergaonkar Singapore
Hiroyasu Nakano Japan
Tse‐Hua Tan United States
Shigeki Miyamoto relative to Brydon L. Bennett United States Brydon L. Bennett's profile →
Citations per field
00.5×1.7×
Brydon L. Bennett · 1×
Citations per year

Countries citing papers authored by Shigeki Miyamoto

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Shigeki Miyamoto

This figure shows the co-authorship network connecting the top 25 collaborators of Shigeki Miyamoto. A scholar is included among the top collaborators of Shigeki Miyamoto 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 Shigeki Miyamoto. Shigeki Miyamoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 1
3 11
4 2
5 3
6 9
7 1
8 22
9 1
10 118
11 118
12 38
13 21
14 33
15 90
16
Block of Na exchangers on ischemia induced arrhythmias
1
17 23
18 112
19
Operative Results of Stanford Type A Aortic Dissection Associated with a Compromised Coronary Artery
1
20 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) and Immune Response and Inflammation (17 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.

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2026