Takahide Ota

1.3k citations
33 papers · 1.1k indexed · h-index 16
Topics
Protein Kinase Regulation and GTPase Signaling (8 papers)Cell death mechanisms and regulation (6 papers)Cancer-related Molecular Pathways (6 papers)
Partner nations
JapanGermanyChina

In The Last Decade

Takahide Ota

33 papers receiving 1.1k citations

Peers

Takahide Ota
Comparison fields: 5 of 89
  • Molecular Biology 782
  • Oncology 310
  • Cell Biology 290
  • Cancer Research 151
  • Plant Science 89
Replace Zhengduo Yang with:
Zhengduo Yang China
Miki Wakada Japan
Seyung Chung United States
A‐Mei Huang Taiwan
Rama P. Ramanujam United States
Hayato Umekawa Japan
Manuel Luís Orta Spain
Mohamed Elgendy Italy
Swayamjot Kaur United States
Subhasree Nag United States
Takahide Ota relative to Zhengduo Yang China Zhengduo Yang's profile →
Citations per field
00.5×1.7×
Zhengduo Yang · 1×
Citations per year

Countries citing papers authored by Takahide Ota

Since Specialization
Citations

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

Fields of papers citing papers by Takahide Ota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takahide Ota

This figure shows the co-authorship network connecting the top 25 collaborators of Takahide Ota. A scholar is included among the top collaborators of Takahide Ota 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 Takahide Ota. Takahide Ota 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 3
2 3
3 20
4 14
5 8
6 43
7 6
8 22
9 8
10 12
11 32
12 87
13 14
14 52
15 20
16 5
17 6
18 24
19
Induction of Phenotypic Reverse Transformation by Ginsenosides in Cultured Cancer Cells
2
20
Plant-glycoside modulation of cell surface related to control of differentiation in cultured B16 melanoma cells.
70

About Takahide Ota

Takahide Ota is a scholar working on Toxicology, Immunology and Allergy and Biotechnology, having authored 33 papers that have together received 1.1k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (8 papers), Cell death mechanisms and regulation (6 papers) and Cancer-related Molecular Pathways (6 papers). The work is most often cited by research in Cell Biology (290 citations), Toxicology (44 citations) and Molecular Biology (782 citations). Takahide Ota has collaborated with scholars based in Japan, Germany and China. Frequent co-authors include Masaaki Tatsuka, Masayo Maeda, Shiho Suto, Mikio Tanino, Fumio Suzuki, Shizuo Odashima, Manabu Murakami, Yasuhiko Terada, Hiroshi Katayama and M. Okamoto. Their work appears in journals such as PLoS ONE, Oncogene and International Journal of Cancer.

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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