Maki Takeda

850 total citations
35 papers, 605 citations indexed

About

Maki Takeda is a scholar working on Molecular Biology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Maki Takeda has authored 35 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 14 papers in Surgery and 9 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Maki Takeda's work include Tissue Engineering and Regenerative Medicine (12 papers), Pluripotent Stem Cells Research (11 papers) and Connexins and lens biology (4 papers). Maki Takeda is often cited by papers focused on Tissue Engineering and Regenerative Medicine (12 papers), Pluripotent Stem Cells Research (11 papers) and Connexins and lens biology (4 papers). Maki Takeda collaborates with scholars based in Japan. Maki Takeda's co-authors include Shigeru Miyagawa, Yoshiki Sawa, Emiko Ito, Akima Harada, Noriko Mochizuki‐Oda, Hiroko Iseoka, Satsuki Fukushima, Nagako Sougawa, Yoshimasa Ito and Atsuhiro Saito and has published in prestigious journals such as Circulation, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Maki Takeda

33 papers receiving 593 citations

Peers

Maki Takeda
Comparison fields: 5 of 87
  • Molecular Biology 364
  • Surgery 202
  • Biomedical Engineering 172
  • Cardiology and Cardiovascular Medicine 105
  • Biomaterials 75
Replace Vittoria Ionta with:
Vittoria Ionta Italy
Marina Okada Japan
Beatrice Xuan Ho Singapore
Akinori Hirano Japan
Liping Su China
Camila Hochman‐Mendez United States
Xianglin Fan China
Hiroko Iseoka Japan
Stephen D. Bird New Zealand
William G. Bernard United Kingdom
Vittoria Ionta Italy View profile →
Citations per field, relative to Maki Takeda
Maki Takeda · 1×
Citations per year, relative to Maki Takeda
Maki Takeda · 1×

Countries citing papers authored by Maki Takeda

Since Specialization
Citations

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

Fields of papers citing papers by Maki Takeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maki Takeda

This figure shows the co-authorship network connecting the top 25 collaborators of Maki Takeda. A scholar is included among the top collaborators of Maki Takeda 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 Maki Takeda. Maki Takeda 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
# Work Indexed citations
1 0
2 9
3 5
4 27
5 14
6 66
7 21
8 15
9 6
10 14
11 16
12 11
13 55
14 81
15 31
16 8
17 10
18 26
19 2
20 54

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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