Masako Tamada

2.9k citations
24 papers · 2.3k indexed · 1 hit paper · h-index 19
Topics
Cellular Mechanics and Interactions (8 papers)Protein Kinase Regulation and GTPase Signaling (8 papers)Melanoma and MAPK Pathways (4 papers)
Partner nations
JapanUnited StatesCanada

In The Last Decade

Masako Tamada

24 papers receiving 2.2k citations

Hit Papers

Force Sensing by Mechanical Extension of the Src Family K...20062026201220192006200400600

Peers

Masako Tamada
Comparison fields: 5 of 105
  • Cell Biology 1.3k
  • Molecular Biology 1.1k
  • Immunology and Allergy 348
  • Biomedical Engineering 291
  • Physiology 259
Replace Hitoshi Tatsumi with:
Hitoshi Tatsumi Japan
Carlos Carmona‐Fontaine United States
Yeh‐Shiu Chu Taiwan
Jacqueline Gabrion France
Kevin C. Flynn United States
Pascale Dufourcq France
Martin Schwander United States
Stephan Kröger Germany
Gregory J. Cole United States
Masako Tamada relative to Hitoshi Tatsumi Japan Hitoshi Tatsumi's profile →
Citations per field
00.5×
Hitoshi Tatsumi · 1×
Citations per year

Countries citing papers authored by Masako Tamada

Since Specialization
Citations

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

Fields of papers citing papers by Masako Tamada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masako Tamada

This figure shows the co-authorship network connecting the top 25 collaborators of Masako Tamada. A scholar is included among the top collaborators of Masako Tamada 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 Masako Tamada. Masako Tamada 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 18
2 15
3 208
4 91
5 1
6 23
7 127
8
Force Sensing by Mechanical Extension of the Src Family Kinase Substrate p130Casbreakdown →
727
9 235
10 211
11 48
12 23
13 14
14 48
15 57
16 30
17 60
18 7
19 124
20 23

About Masako Tamada

Masako Tamada is a scholar working on Cell Biology, Aging and Immunology and Allergy, having authored 24 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (8 papers), Protein Kinase Regulation and GTPase Signaling (8 papers) and Melanoma and MAPK Pathways (4 papers). The work is most often cited by research in Cell Biology (1.3k citations), Immunology and Allergy (348 citations) and Endocrine and Autonomic Systems (211 citations). Masako Tamada has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Michael P. Sheetz, Yasuhiro Sawada, Ryuichi Sakai, Benjamin J. Dubin‐Thaler, Sakae Tanaka, Oksana Cherniavskaya, Jennifer A. Zallen, Dene L. Farrell, Tohru Kataoka and Tomas D. Perez. Their work appears in journals such as Cell, Journal of Biological Chemistry and Journal of Neuroscience.

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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