Takeyasu Katada

611 citations
22 papers · 528 · h-index 12

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Caveolin-1 and cellular processes

Papers in

    • Cancer-related gene regulation 4
    • Circular RNAs in diseases 2
    • RNA modifications and cancer 2
    • Esophageal Cancer Research and Treatment 4

Takeyasu Katada

19 papers receiving 520 citations

Peers

Takeyasu Katada
Comparison fields: 5 of 54
  • Cancer Research 168
  • Cell Biology 73
  • Molecular Biology 297
  • Oncology 95
  • Immunology and Allergy 13
Replace Áron Somorácz with:
Áron Somorácz Hungary
Qingjuan Chen China
Nirit Yarom Israel
Kemin Jin China
C. Rimkus Germany
Shi-Xun Lu China
Leili Saeednejad Zanjani Iran
Junwei Fan China
Steve C.L. Leung Hong Kong
Takeyasu Katada relative to Áron Somorácz Hungary Áron Somorácz's profile →
Citations per field
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Áron Somorácz · 1×
Citations per year

Countries citing papers authored by Takeyasu Katada

Since Specialization
Citations

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

Fields of papers citing papers by Takeyasu Katada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Takeyasu Katada, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Takeyasu Katada Line = papers co-authored together Takeyasu Katada links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200999
2 200784
3 201063
4 200751
5 200746
6 200834
7 201728
8 200727
9 201019
10 200819
11 201017
12 200712
13 200911
14 20216
15 20223
16 20203
17 20073
18 20092
19 20201
20 20120

About Takeyasu Katada

Takeyasu Katada is a scholar working on Molecular Biology, Surgery, Pulmonary and Respiratory Medicine, Oncology and Cancer Research, having authored 22 papers that have together received 528 indexed citations. Recurring topics across this work include Cancer-related gene regulation (4 papers), Esophageal Cancer Research and Treatment (4 papers), MicroRNA in disease regulation (3 papers), Gastric Cancer Management and Outcomes (3 papers), Circular RNAs in diseases (2 papers), Colorectal Cancer Surgical Treatments (2 papers), Lung Cancer Treatments and Mutations (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cancer Research (168 citations), Cell Biology (73 citations), Molecular Biology (297 citations), Oncology (95 citations) and Immunology and Allergy (13 citations). Takeyasu Katada has collaborated with scholars based in Japan and United States. Frequent co-authors include Yoshiyuki Kuwabara, Akira Mitsui, Yoshitaka Fujii, Masahiro Kimura, Hideyuki Ishiguro, Ryo Ogawa, Tatsuya Tanaka, Ryota Mori, Keisuke Tomoda and Yoichiro Mori. Their work appears in journals such as Oncology Reports, Diseases of the Esophagus, Oncotarget, Esophagus and Surgery Today.

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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