Kazutake Tsujikawa

7.1k citations
145 papers · 5.3k indexed · 1 hit paper · h-index 39
Topics
RNA modifications and cancer (23 papers)Muscle Physiology and Disorders (18 papers)Cancer-related molecular mechanisms research (13 papers)

In The Last Decade

Kazutake Tsujikawa

143 papers receiving 5.2k citations

Hit Papers

Fibrosis and adipogenesis originate from a common mesench...20112026201620212011100200300400

Peers

Kazutake Tsujikawa
Comparison fields: 5 of 122
  • Molecular Biology 3.5k
  • Cancer Research 980
  • Surgery 772
  • Physiology 679
  • Oncology 564
Replace Wei Cui with:
Wei Cui China
Mukesh K. Jain United States
Tkachuk Va Russia
Carlo Gaetano Italy
Michelle A. Sargent United States
Andrea Caporali United Kingdom
Gaia Spinetti Italy
Yangxin Li China
Jane‐Lise Samuel France
Guy Eelen Belgium
Kazutake Tsujikawa relative to Wei Cui China Wei Cui's profile →
Citations per field
00.5×1.6×
Wei Cui · 1×
Citations per year

Countries citing papers authored by Kazutake Tsujikawa

Since Specialization
Citations

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

Fields of papers citing papers by Kazutake Tsujikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazutake Tsujikawa

This figure shows the co-authorship network connecting the top 25 collaborators of Kazutake Tsujikawa. A scholar is included among the top collaborators of Kazutake Tsujikawa 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 Kazutake Tsujikawa. Kazutake Tsujikawa 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 8
2 4
3 2
4 7
5 10
6 7
7 38
8 38
9
The expression level of CXCL7 in peripheral blood cells is a potential biomarker for the diagnosis of renal cell carcinoma
2
10 31
11 14
12 67
13
Expression of ABCB6 is related to resistance to 5-FU, SN-38 and vincristine.
24
14 69
15 133
16 53
17 102
18 32
19 27
20 21

About Kazutake Tsujikawa

Kazutake Tsujikawa is a scholar working on Cancer Research, Molecular Biology and Immunology, having authored 145 papers that have together received 5.3k indexed citations. Recurring topics across this work include RNA modifications and cancer (23 papers), Muscle Physiology and Disorders (18 papers) and Cancer-related molecular mechanisms research (13 papers). The work is most often cited by research in Cancer Research (980 citations), Molecular Biology (3.5k citations) and Genetics (522 citations). Kazutake Tsujikawa has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Hiroshi Yamamoto, So‐ichiro Fukada, Shin’ichi Takeda, Yuko Miyagoe‐Suzuki, Akiyoshi Uezumi, Yuko Ueda, Keiji Shimada, Kentaro Jingushi, Kaori Kitae and Noboru Konishi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Immunity.

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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