Kenji Takagi

6.5k citations
176 papers · 4.8k indexed · 1 hit paper · h-index 35
Topics
Drug Transport and Resistance Mechanisms (21 papers)Pesticide Exposure and Toxicity (13 papers)Ubiquitin and proteasome pathways (11 papers)
Journals
Journal of Biological ChemistrySHILAP Revista de lepidopterologíaMolecular Cell
Partner nations
JapanChinaUnited States

In The Last Decade

Kenji Takagi

163 papers receiving 4.7k citations

Hit Papers

Phosphorylation of p62 Activates the Keap1-Nrf2 Pathway d...20132026201720212013250500750

Peers

Kenji Takagi
Comparison fields: 5 of 160
  • Molecular Biology 1.9k
  • Epidemiology 869
  • Oncology 802
  • Surgery 602
  • Plant Science 441
Replace William R. Henderson with:
William R. Henderson United States
Stefan Uhlig Germany
Ling Zheng China
Cong‐Yi Wang China
Hongwei Wang China
Jianglin Fan Japan
Véronique Witko‐Sarsat France
Yong-ming Yao China
Ling Liu China
Da-Zhong Xu United States
Kenji Takagi relative to William R. Henderson United States William R. Henderson's profile →
Citations per field
00.5×4.0×
William R. Henderson · 1×
Citations per year

Countries citing papers authored by Kenji Takagi

Since Specialization
Citations

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

Fields of papers citing papers by Kenji Takagi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenji Takagi

This figure shows the co-authorship network connecting the top 25 collaborators of Kenji Takagi. A scholar is included among the top collaborators of Kenji Takagi 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 Kenji Takagi. Kenji Takagi 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 1
4 2
5 4
6 1
7 0
8 1
9
A Proposal of New Autonomous Decentralized Structure Formation Based on Huygens' Principle and Renormalization
1
10 0
11
CAS : P2P file share method considering rarities of parts
0
12 1
13 65
14 53
15 11
16 2
17
6
18 6
19 3
20 3

About Kenji Takagi

Kenji Takagi is a scholar working on Oncology, Hepatology and Pharmacology, having authored 176 papers that have together received 4.8k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (21 papers), Pesticide Exposure and Toxicity (13 papers) and Ubiquitin and proteasome pathways (11 papers). The work is most often cited by research in Oncology (802 citations), Molecular Biology (1.9k citations) and Physiology (115 citations). Kenji Takagi has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Tsunehiro Mizushima, Toshiaki Fukutomi, Masayuki Yamamoto, Takaaki Hasegawa, Kenzo Takagi, Koji Nomoto, Yuji Nimura, Takashi Asahara, Keiji Tanaka and Jun Ueyama. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Molecular Cell.

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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