Mika Takai

772 total citations
18 papers, 605 citations indexed

About

Mika Takai is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Mika Takai has authored 18 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Pathology and Forensic Medicine and 4 papers in Oncology. Recurrent topics in Mika Takai's work include Tea Polyphenols and Effects (3 papers), Aldose Reductase and Taurine (2 papers) and CAR-T cell therapy research (2 papers). Mika Takai is often cited by papers focused on Tea Polyphenols and Effects (3 papers), Aldose Reductase and Taurine (2 papers) and CAR-T cell therapy research (2 papers). Mika Takai collaborates with scholars based in Japan, United States and Australia. Mika Takai's co-authors include Yasushi Fujio, Junichi Azuma, Yoriko Uozumi, Yasushi Kimura, Stephen W. Schaffer, Hirofumi Tachibana, Motofumi Kumazoe, Yuhui Huang, Takahisa Matsuda and Takashi Ito and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Macromolecules.

In The Last Decade

Mika Takai

16 papers receiving 599 citations

Peers

Mika Takai
Comparison fields: 5 of 81
  • Molecular Biology 252
  • Cell Biology 207
  • Physiology 130
  • Pathology and Forensic Medicine 124
  • Cancer Research 77
Replace Sylvia Y. Low with:
Sylvia Y. Low United Kingdom
Sanai Sato United States
Himangshu Sonowal United States
Tianluo Lei China
Ling He China
András Frankó Germany
Mei Huang China
Lixin Zhou China
Rongchuan Yue China
Ina Berniakovich Italy
Sylvia Y. Low United Kingdom View profile →
Citations per field, relative to Mika Takai
Mika Takai · 1×
Citations per year, relative to Mika Takai
Mika Takai · 1×

Countries citing papers authored by Mika Takai

Since Specialization
Citations

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

Fields of papers citing papers by Mika Takai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mika Takai

This figure shows the co-authorship network connecting the top 25 collaborators of Mika Takai. A scholar is included among the top collaborators of Mika Takai 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 Mika Takai. Mika Takai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 0
2 1
3 1
4 41
5 34
6 30
7 49
8 28
9 25
10 3
11 16
12 37
13 79
14 171
15 78
16
Abstract 1282: Interleukin-11 Prevents Cardiac Remodeling after Myocardial Infarction with Neovascularization in Murine Model.
0
17 4
18 8

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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