Keizo Takenaga

6.0k citations
139 papers · 4.8k indexed · 1 hit paper · h-index 37
Topics
Cancer, Hypoxia, and Metabolism (26 papers)S100 Proteins and Annexins (20 papers)Mitochondrial Function and Pathology (18 papers)

In The Last Decade

Keizo Takenaga

136 papers receiving 4.7k citations

Hit Papers

ROS-Generating Mitochondrial DNA Mutations Can Regulate T...200820262014202020082505007501000

Peers

Keizo Takenaga
Comparison fields: 5 of 125
  • Molecular Biology 3.4k
  • Cancer Research 1.5k
  • Oncology 760
  • Immunology 679
  • Genetics 378
Replace Masakiyo Sakaguchi with:
Masakiyo Sakaguchi Japan
Isabel Fabregat Spain
Maryam Mehrpour France
Jean S. Campbell United States
Chuan‐Yuan Li United States
Vincent Castronovo Belgium
Damu Tang Canada
Paolo Cirri Italy
You Mie Lee South Korea
Martijn F.B.G. Gebbink Netherlands
Keizo Takenaga relative to Masakiyo Sakaguchi Japan Masakiyo Sakaguchi's profile →
Citations per field
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Masakiyo Sakaguchi · 1×
Citations per year

Countries citing papers authored by Keizo Takenaga

Since Specialization
Citations

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

Fields of papers citing papers by Keizo Takenaga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keizo Takenaga

This figure shows the co-authorship network connecting the top 25 collaborators of Keizo Takenaga. A scholar is included among the top collaborators of Keizo Takenaga 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 Keizo Takenaga. Keizo Takenaga 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 0
2 0
3 0
4 2
5 7
6 7
7 33
8 69
9 68
10 37
11 33
12
ROS-Generating Mitochondrial DNA Mutations Can Regulate Tumor Cell Metastasisbreakdown →
1158
13 20
14 37
15 18
16 17
17 57
18 12
19 32
20
Enhanced metastatic potential of cloned low-metastatic Lewis lung carcinoma cells treated in vitro with dimethyl sulfoxide.
42

About Keizo Takenaga

Keizo Takenaga is a scholar working on Cancer Research, Biotechnology and Molecular Biology, having authored 139 papers that have together received 4.8k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (26 papers), S100 Proteins and Annexins (20 papers) and Mitochondrial Function and Pathology (18 papers). The work is most often cited by research in Cancer Research (1.5k citations), Molecular Biology (3.4k citations) and Immunology and Allergy (209 citations). Keizo Takenaga has collaborated with scholars based in Japan, United States and Denmark. Frequent co-authors include Nobuko Koshikawa, Jun‐Ichi Hayashi, Miho Akimoto, Yoshio Honma, Kazuto Nakada, Kaori Ishikawa, Hirotake Imanishi, Yohko Nakamura, Shigeru Sakiyama and Aya Yamaguchi. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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