Masao Takase

1.5k citations
7 papers · 1.3k indexed · 1 hit paper · h-index 7

Masao Takase

7 papers receiving 1.3k citations

Hit Papers

Smad6 inhibits signalling by the TGF-β superfamily8691997202620062016250500750

Peers

Masao Takase
Comparison fields: 5 of 78
  • Molecular Biology 1.1k
  • Immunology and Allergy 58
  • Oncology 211
  • Cancer Research 95
  • Rheumatology 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

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

All Works

7 of 7 papers shown
#Work
1
Carbon sequestration, tree biomass growth and rubber yield of PB260 clone of rubber tree (hevea brasiliensis) in north Sumatra
201414
2 199941
3
Extracellular matrix production regulation by TGF-beta in corneal endothelial cells.
199832
4 1998139
5 199887
6 1997105
7
Smad6 inhibits signalling by the TGF-β superfamilybreakdown →
1997869

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), Cell Adhesion Molecules Research (1 paper), Biofuel production and bioconversion (1 paper), Congenital heart defects research (1 paper), Agricultural and Environmental Management (1 paper), Cardiac Fibrosis and Remodeling (1 paper) and Genetic factors in colorectal cancer (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 The Journal of Cell Biology, Nature, Annals of the New York Academy of Sciences, Molecular Biology of the Cell 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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