Kozue Takeda

1.9k citations
34 papers · 1.6k indexed · h-index 21
Topics
Retinoids in leukemia and cellular processes (6 papers)Melanoma and MAPK Pathways (4 papers)Genomics, phytochemicals, and oxidative stress (3 papers)
Partner nations
JapanSlovakiaIndonesia

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
Johan F. Koster Netherlands
Wei-Ya Ma United States
Kuniharu Matsuno Japan
Chae Hwa Kwon South Korea
Ernestina Marianna De Francesco Italy
Ruey‐Hwang Chou Taiwan
Jonathan Tugwood United Kingdom
Tatyana A. Zykova United States
Kozue Takeda relative to Yoshiyuki Kawamoto Japan Yoshiyuki Kawamoto's profile →
Citations per field
00.5×1.5×
Yoshiyuki Kawamoto · 1×
Citations per year

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
#WorkIndexed 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

About Kozue Takeda

Kozue Takeda is a scholar working on Dermatology, Immunology and Cell Biology, having authored 34 papers that have together received 1.6k indexed citations. Recurring topics across this work include Retinoids in leukemia and cellular processes (6 papers), Melanoma and MAPK Pathways (4 papers) and Genomics, phytochemicals, and oxidative stress (3 papers). The work is most often cited by research in Immunology (452 citations), Clinical Biochemistry (109 citations) and Cell Biology (185 citations). Kozue Takeda has collaborated with scholars based in Japan, Slovakia and Indonesia. Frequent 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. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology and PLoS ONE.

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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