Toshio Kitazawa

2.6k citations
41 papers · 2.2k indexed · h-index 19
Topics
Protein Kinase Regulation and GTPase Signaling (16 papers)Ion channel regulation and function (15 papers)Cardiomyopathy and Myosin Studies (14 papers)
Partner nations
United StatesJapanChina

In The Last Decade

Toshio Kitazawa

40 papers receiving 2.2k citations

Peers

Toshio Kitazawa
Comparison fields: 5 of 100
  • Molecular Biology 1.5k
  • Physiology 675
  • Cardiology and Cardiovascular Medicine 520
  • Cell Biology 412
  • Cellular and Molecular Neuroscience 197
Replace Gopal J. Babu with:
Gopal J. Babu United States
Eric Boursier France
Ilia A. Yamboliev United States
Masahiro Oike Japan
Graeme F. Nixon United Kingdom
Jianjun Bao United States
Giuseppe Procino Italy
Elisabetta Meacci Italy
Amy L. Firth United States
Veronica Prpić United States
Toshio Kitazawa relative to Gopal J. Babu United States Gopal J. Babu's profile →
Citations per field
00.5×1.7×
Gopal J. Babu · 1×
Citations per year

Countries citing papers authored by Toshio Kitazawa

Since Specialization
Citations

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

Fields of papers citing papers by Toshio Kitazawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toshio Kitazawa

This figure shows the co-authorship network connecting the top 25 collaborators of Toshio Kitazawa. A scholar is included among the top collaborators of Toshio Kitazawa 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 Toshio Kitazawa. Toshio Kitazawa 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 1
2 4
3 11
4 4
5 72
6 43
7 138
8 44
9 37
10 202
11 207
12 208
13 127
14 66
15 2
16 4
17 1
18 15
19 0
20 3

About Toshio Kitazawa

Toshio Kitazawa is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Insect Science, having authored 41 papers that have together received 2.2k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (16 papers), Ion channel regulation and function (15 papers) and Cardiomyopathy and Myosin Studies (14 papers). The work is most often cited by research in Physiology (675 citations), Cell Biology (412 citations) and Cardiology and Cardiovascular Medicine (520 citations). Toshio Kitazawa has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Masumi Eto, David L. Brautigan, Li Lin, Matthew R. Lee, Allen D. Everett, Akinori Hishiya, Shinichi Takayama, Shingo Semba, Andrew P. Somlyo and Hideyuki Mukai. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

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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