Masaya Takei

1.1k total citations
22 papers, 772 citations indexed

About

Masaya Takei is a scholar working on Molecular Biology, Molecular Medicine and Pharmacology. According to data from OpenAlex, Masaya Takei has authored 22 papers receiving a total of 772 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 14 papers in Molecular Medicine and 13 papers in Pharmacology. Recurrent topics in Masaya Takei's work include Antibiotic Resistance in Bacteria (14 papers), Cancer therapeutics and mechanisms (13 papers) and Antibiotics Pharmacokinetics and Efficacy (12 papers). Masaya Takei is often cited by papers focused on Antibiotic Resistance in Bacteria (14 papers), Cancer therapeutics and mechanisms (13 papers) and Antibiotics Pharmacokinetics and Efficacy (12 papers). Masaya Takei collaborates with scholars based in Japan, United States and United Kingdom. Masaya Takei's co-authors include Ryuta Kishii, Hideyuki Fukuda, M. Hosaka, Yasumichi Fukuda, Yuko Yamaguchi, Sheo B. Singh, Jun Lu, Sangita B. Patel, S.M. Soisson and Nandini Sharma and has published in prestigious journals such as Journal of Clinical Microbiology, Journal of Medicinal Chemistry and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Masaya Takei

21 papers receiving 723 citations

Peers

Masaya Takei
Comparison fields: 5 of 92
  • Molecular Biology 346
  • Pharmacology 264
  • Molecular Medicine 246
  • Epidemiology 162
  • Organic Chemistry 145
Replace Ryuta Kishii with:
Ryuta Kishii United States
Rosario Musumeci Italy
Hideyuki Fukuda Japan
Marina Y. Fosso United States
Takashi Fukuoka Japan
Sanjib K. Shrestha United States
Xinxin Hu China
Timothy R. Kane Canada
Raymond T. Testa United States
Temilolu Idowu Canada
Ryuta Kishii United States View profile →
Citations per field, relative to Masaya Takei
Masaya Takei · 1×
Citations per year, relative to Masaya Takei
Masaya Takei · 1×

Countries citing papers authored by Masaya Takei

Since Specialization
Citations

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

Fields of papers citing papers by Masaya Takei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masaya Takei

This figure shows the co-authorship network connecting the top 25 collaborators of Masaya Takei. A scholar is included among the top collaborators of Masaya Takei 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 Masaya Takei. Masaya Takei 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 3
2 27
3 14
4 8
5 37
6 105
7 42
8 53
9 63
10 34
11 7
12 26
13 4
14 8
15 30
16 37
17 96
18 58
19 1
20 34

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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