Keizo Furuke

1.5k citations
22 papers · 1.3k indexed · h-index 17

Keizo Furuke

22 papers receiving 1.3k citations

Peers

Keizo Furuke
Comparison fields: 5 of 82
  • Immunology 455
  • Biochemistry 93
  • Internal Medicine 37
  • Virology 42
  • Molecular Biology 571
Replace Angelika Grossmann with:
Angelika Grossmann United States
Francesco A. Manzoli Italy
Ryutaro Shirakawa Japan
Fujio Sekiya Japan
Richard Tawadros United States
Emmanuelle Logette France
Pablo Gómez‐del Arco Spain
Daohong Chen China
Ulrich Salzer Austria
Ben‐Kuen Chen Taiwan
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Citations per field
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Citations per year

Countries citing papers authored by Keizo Furuke

Since Specialization
Citations

This map shows the geographic impact of Keizo Furuke'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 Keizo Furuke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keizo Furuke more than expected).

Fields of papers citing papers by Keizo Furuke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keizo Furuke. 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 Keizo Furuke. The network helps show where Keizo Furuke may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Keizo Furuke, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Keizo Furuke Line = papers co-authored together Keizo Furuke links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2013167
2 20031
3 199939
4 1999164
5 199977
6 199982
7
Human NK cells express endothelial nitric oxide synthase, and nitric oxide protects them from activation-induced cell death by regulating expression of TNF-alpha.
199946
8 1999117
9 199954
10 199817
11 1998143
12 19977
13 199734
14 199716
15 199720
16 199517
17
Adult T cell leukemia-derived factor as an endogenous radical scavenger.
19952
18
Cell cycle inhibition of HTLV-I transformed T cell lines by retinoic acid: the possible therapeutic use of thioredoxin reductase inhibitors.
199526
19 1994212
20 19948

About Keizo Furuke

Keizo Furuke is a scholar working on Immunology, Biological Psychiatry and Neurology, having authored 22 papers that have together received 1.3k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (7 papers), Immune Cell Function and Interaction (7 papers), Redox biology and oxidative stress (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Retinoids in leukemia and cellular processes (3 papers), Nitric Oxide and Endothelin Effects (2 papers), Chemokine receptors and signaling (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Immunology (455 citations), Biochemistry (93 citations) and Internal Medicine (37 citations). Keizo Furuke has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Eda T. Bloom, Julie Teruya‐Feldstein, Cecilia Sgadari, Giovanna Tosato, Lei Yao, Howard Mostowski, Junji Yodoi, Yuki Kitaoka, Parris R. Burd and Kotaro Hori. Their work appears in journals such as The Journal of Immunology, Blood, International Immunology, Immunology Letters and Experimental Eye Research.

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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