Shin Kadota

1.1k citations
23 papers · 708 indexed · h-index 12
Topics
Pluripotent Stem Cells Research (7 papers)Congenital heart defects research (7 papers)Tissue Engineering and Regenerative Medicine (6 papers)
Partner nations
JapanUnited StatesRussia

In The Last Decade

Shin Kadota

21 papers receiving 691 citations

Peers

Shin Kadota
Comparison fields: 5 of 71
  • Molecular Biology 421
  • Surgery 311
  • Cardiology and Cardiovascular Medicine 246
  • Cellular and Molecular Neuroscience 133
  • Biomedical Engineering 122
Replace Taketaro Sadahiro with:
Taketaro Sadahiro Japan
Porur Somasundaram United States
Alfredo D. Guerron United States
Eric G. Schmuck United States
Arshneel Kochar United States
Felix W. Friedrich Germany
Gerard J.J. Boink Netherlands
Hidenori Tani Japan
Satoshi Takebayashi United States
Tetsutaro Kito Japan
Shin Kadota relative to Taketaro Sadahiro Japan Taketaro Sadahiro's profile →
Citations per field
00.5×1.5×
Taketaro Sadahiro · 1×
Citations per year

Countries citing papers authored by Shin Kadota

Since Specialization
Citations

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

Fields of papers citing papers by Shin Kadota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shin Kadota

This figure shows the co-authorship network connecting the top 25 collaborators of Shin Kadota. A scholar is included among the top collaborators of Shin Kadota 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 Shin Kadota. Shin Kadota 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 5
2 0
3 13
4 4
5 18
6 25
7 14
8 20
9 114
10 32
11 27
12 68
13 12
14 6
15 4
16 1
17 5
18 11
19 4
20 4

About Shin Kadota

Shin Kadota is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Molecular Biology, having authored 23 papers that have together received 708 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (7 papers), Congenital heart defects research (7 papers) and Tissue Engineering and Regenerative Medicine (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (246 citations), Cellular and Molecular Neuroscience (133 citations) and Surgery (311 citations). Shin Kadota has collaborated with scholars based in Japan, United States and Russia. Frequent co-authors include Hans Reinecke, Charles E. Murry, Lil Pabon, Itsunari Minami, Norio Nakatsuji, John E. Heuser, Nobuhiro Morone, Yuji Shiba, Keisuke Shioji and Masayasu Izuhara. Their work appears in journals such as Angewandte Chemie International Edition, Scientific Reports and European Heart Journal.

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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