Mutsumi Takagi

2.2k citations
101 papers · 1.7k indexed · 1 hit paper · h-index 21
Topics
Viral Infectious Diseases and Gene Expression in Insects (32 papers)Osteoarthritis Treatment and Mechanisms (22 papers)Mesenchymal stem cell research (21 papers)
Partner nations
JapanChinaHong Kong

In The Last Decade

Mutsumi Takagi

97 papers receiving 1.7k citations

Hit Papers

Effect of salt concentration on intracellular accumulatio...20062026201220192006100200300400500

Peers

Mutsumi Takagi
Comparison fields: 5 of 107
  • Molecular Biology 816
  • Renewable Energy, Sustainability and the Environment 516
  • Biomedical Engineering 495
  • Genetics 260
  • Rheumatology 219
Replace Francesc Gòdia with:
Francesc Gòdia Spain
Toshikazu Shiba Japan
Catherine Boisson‐Vidal France
S Kalimuthu South Korea
Ronggui Li China
Renato Toffanin Italy
Christoph Leder Germany
Wentong Li China
Leilei Yang China
Mauro S.G. Pavão Brazil
Mutsumi Takagi relative to Francesc Gòdia Spain Francesc Gòdia's profile →
Citations per field
00.5×5.9×
Francesc Gòdia · 1×
Citations per year

Countries citing papers authored by Mutsumi Takagi

Since Specialization
Citations

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

Fields of papers citing papers by Mutsumi Takagi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mutsumi Takagi

This figure shows the co-authorship network connecting the top 25 collaborators of Mutsumi Takagi. A scholar is included among the top collaborators of Mutsumi Takagi 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 Mutsumi Takagi. Mutsumi Takagi 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 6
2 14
3 17
4 2
5 2
6 3
7 28
8 16
9 3
10 5
11 5
12 21
13 6
14 17
15
Synthesis and Evaluation of Novel Peptide-Lipid
2
16 8
17 11
18 17
19 28
20
Effect of Oleic Acid Adsorption onto Cell Surface on Cholesterol Oxidase Production by Schizophyllum commune
4

About Mutsumi Takagi

Mutsumi Takagi is a scholar working on Genetics, Urology and Rheumatology, having authored 101 papers that have together received 1.7k indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (32 papers), Osteoarthritis Treatment and Mechanisms (22 papers) and Mesenchymal stem cell research (21 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (516 citations), Genetics (260 citations) and Urology (107 citations). Mutsumi Takagi has collaborated with scholars based in Japan, China and Hong Kong. Frequent co-authors include Toshiomi Yoshida, Karseno, Shigeyuki Wakitani, Toshiomi Yoshida, Masashi Fujiwara, Hideo Miki, Yasushi Sato, Hisashi Mera, Jianqiang Lin and Yinbo Qu. Their work appears in journals such as Biotechnology and Bioengineering, Journal of Biomedical Optics and Biochemical Engineering 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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