Kozue Takeda

1.9k total citations
34 papers, 1.6k citations indexed

About

Kozue Takeda is a scholar working on Molecular Biology, Immunology and Cell Biology. According to data from OpenAlex, Kozue Takeda has authored 34 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 8 papers in Immunology and 6 papers in Cell Biology. Recurrent topics in Kozue Takeda's work include Retinoids in leukemia and cellular processes (6 papers), Melanoma and MAPK Pathways (4 papers) and Genomics, phytochemicals, and oxidative stress (3 papers). Kozue Takeda is often cited by papers focused on Retinoids in leukemia and cellular processes (6 papers), Melanoma and MAPK Pathways (4 papers) and Genomics, phytochemicals, and oxidative stress (3 papers). Kozue Takeda collaborates with scholars based in Japan, Slovakia and Indonesia. Kozue Takeda's co-authors include Yoshiyuki Kawamoto, Haruhiko Suzuki, Izumi Nakashima, Masashi Kato, Anwarul Azim Akhand, Khaled Hossain, Ken‐ichi Isobe, Ichiro Yajima, Machiko Iida and Masahide Takahashi and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and PLoS ONE.

In The Last Decade

Kozue Takeda

34 papers receiving 1.5k citations

Peers

Kozue Takeda
Comparison fields: 5 of 107
  • Molecular Biology 714
  • Immunology 452
  • Oncology 201
  • Cell Biology 185
  • Physiology 114
Replace Yoshiyuki Kawamoto with:
Yoshiyuki Kawamoto Japan
Karl E. Herbert United Kingdom
Gi Ryang Kweon South Korea
Francisco J. Sánchez-Gómez Spain
Johan F. Koster Netherlands
Hiroshi Kuwata Japan
Shi Pan United States
Malcolm J. Mitchinson United Kingdom
Jeroen Frijhoff Sweden
Yoshiyuki Kawamoto Japan View profile →
Citations per field, relative to Kozue Takeda
Kozue Takeda · 1×
Citations per year, relative to Kozue Takeda
Kozue Takeda · 1×

Countries citing papers authored by Kozue Takeda

Since Specialization
Citations

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

Fields of papers citing papers by Kozue Takeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kozue Takeda

This figure shows the co-authorship network connecting the top 25 collaborators of Kozue Takeda. A scholar is included among the top collaborators of Kozue Takeda 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 Kozue Takeda. Kozue Takeda 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
# Work Indexed citations
1
Peptides containing the MXXCW motif inhibit oncogenic RET kinase activity with a novel mechanism of action.
1
2 13
3 11
4 12
5 14
6 33
7 10
8 40
9 238
10 5
11 66
12 69
13 84
14 29
15 9
16 37
17 119
18 12
19 108
20 70

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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