Masatake Kai

632 citations
11 papers · 465 · h-index 9

Impact in

  • Genetics top 10%
    • Genetic and Kidney Cyst Diseases
    • Genetic Syndromes and Imprinting
  • Cell Biology top 10%
    • Microtubule and mitosis dynamics

Papers in

    • Wnt/β-catenin signaling in development and cancer 3
    • Developmental Biology and Gene Regulation 3
    • Sphingolipid Metabolism and Signaling 1

Masatake Kai

11 papers receiving 458 citations

Peers

Masatake Kai
Comparison fields: 5 of 63
  • Genetics 264
  • Cell Biology 118
  • Molecular Biology 367
  • Urology 14
  • Aging 3
Replace Diana Alcantara with:
Diana Alcantara United Kingdom
Rodrigo Cuervo Mexico
Charles Guerra United States
Sabine Merker Germany
Elizabeth N. Schock United States
Alicia María United States
Shoji Kuretake Japan
Evans C. Bailey United States
Eric Brooks United States
Anna Thomas United Kingdom
Masatake Kai relative to Diana Alcantara United Kingdom Diana Alcantara's profile →
Citations per field
00.5×3.5×
Diana Alcantara · 1×
Citations per year

Countries citing papers authored by Masatake Kai

Since Specialization
Citations

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

Fields of papers citing papers by Masatake Kai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Masatake Kai, 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 Masatake Kai Line = papers co-authored together Masatake Kai links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2007227
2 201060
3 200948
4 200831
5 201228
6 200421
7 200115
8 200311
9 20009
10 20048
11 20157

About Masatake Kai

Masatake Kai is a scholar working on Molecular Biology, Cell Biology, Genetics, Urology and Infectious Diseases, having authored 11 papers that have together received 465 indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (3 papers), Developmental Biology and Gene Regulation (3 papers), Genetic and Kidney Cyst Diseases (2 papers), Urological Disorders and Treatments (2 papers), Amino Acid Enzymes and Metabolism (1 paper), Cannabis and Cannabinoid Research (1 paper), Connective tissue disorders research (1 paper) and Sphingolipid Metabolism and Signaling (1 paper). The work is most often cited by research in Genetics (264 citations), Cell Biology (118 citations), Molecular Biology (367 citations), Urology (14 citations) and Aging (3 citations). Masatake Kai has collaborated with scholars based in Japan, United Kingdom and Türkiye. Frequent co-authors include Masazumi Tada, Philip L. Beales, Suzanne Rix, Jane Hartley, Chiara Bacchelli, Jonathan L. Tobin, Mark Winey, Josephine Hill, Nursel Elçioğlu and Beyhan Tüysüz. Their work appears in journals such as Current topics in developmental biology, Nature Genetics, Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology, Cell Research and Development.

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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