Masao Takase

1.5k citations
7 papers · 1.3k indexed · 1 hit paper · h-index 7
Topics
TGF-β signaling in diseases (6 papers)Pancreatic and Hepatic Oncology Research (2 papers)Cell Adhesion Molecules Research (1 paper)
Partner nations
JapanUnited Kingdom

In The Last Decade

Masao Takase

7 papers receiving 1.3k citations

Hit Papers

Smad6 inhibits signalling by the TGF-β superfamily19972026200620161997250500750

Peers

Masao Takase
Comparison fields: 5 of 78
  • Molecular Biology 1.1k
  • Oncology 211
  • Genetics 108
  • Rheumatology 95
  • Cancer Research 95
Replace Eiichi Oeda with:
Eiichi Oeda Japan
Susanne Grimsby Sweden
Ian B. Robertson United Kingdom
E J van Zoelen Netherlands
Graeme W. McLean United States
Mozhgan Afrakhte Sweden
Dražen Šošić United States
Ken‐ichi Iyama Japan
András Masszi Hungary
Marie‐Hélène Laprise Canada
Masao Takase relative to Eiichi Oeda Japan Eiichi Oeda's profile →
Citations per field
00.5×1.6×
Eiichi Oeda · 1×
Citations per year

Countries citing papers authored by Masao Takase

Since Specialization
Citations

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

Fields of papers citing papers by Masao Takase

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masao Takase

This figure shows the co-authorship network connecting the top 25 collaborators of Masao Takase. A scholar is included among the top collaborators of Masao Takase 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 Masao Takase. Masao Takase is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1
Carbon sequestration, tree biomass growth and rubber yield of PB260 clone of rubber tree (hevea brasiliensis) in north Sumatra
14
2 41
3
Extracellular matrix production regulation by TGF-beta in corneal endothelial cells.
32
4 139
5 87
6 105
7
Smad6 inhibits signalling by the TGF-β superfamilybreakdown →
869

About Masao Takase

Masao Takase is a scholar working on Immunology and Allergy, Molecular Biology and Demography, having authored 7 papers that have together received 1.3k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (6 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Cell Adhesion Molecules Research (1 paper). The work is most often cited by research in Molecular Biology (1.1k citations), Immunology and Allergy (58 citations) and Oncology (211 citations). Masao Takase has collaborated with scholars based in Japan and United Kingdom. Frequent co-authors include Masahiro Kawabata, Takeshi Imamura, Kohei Miyazono, Ayako Nishihara, Jun‐ichi Hanai, Eiichi Oeda, Kohei Miyazono, Mitsuyasu Kato, T. Kuber Sampath and Hidenori Ichijo. Their work appears in journals such as Nature, The Journal of Cell Biology and Biochemical and Biophysical Research Communications.

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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