Akiko Tajima

2.3k total citations · 1 hit paper
18 papers, 1.7k citations indexed

About

Akiko Tajima is a scholar working on Molecular Biology, Infectious Diseases and Immunology and Allergy. According to data from OpenAlex, Akiko Tajima has authored 18 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Infectious Diseases and 5 papers in Immunology and Allergy. Recurrent topics in Akiko Tajima's work include Antimicrobial Resistance in Staphylococcus (6 papers), Bacterial biofilms and quorum sensing (5 papers) and Cell Adhesion Molecules Research (5 papers). Akiko Tajima is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (6 papers), Bacterial biofilms and quorum sensing (5 papers) and Cell Adhesion Molecules Research (5 papers). Akiko Tajima collaborates with scholars based in Japan. Akiko Tajima's co-authors include Tadayuki Iwase, Yoshimitsu Mizunoe, Koji Takada, Hitomi Shinji, Shinya Sugimoto, Toshihiko Agata, Yoshio Uehara, Hiromi Seo, Ken-ichi Okuda and Yuko Kamata and has published in prestigious journals such as Nature, Applied and Environmental Microbiology and Scientific Reports.

In The Last Decade

Akiko Tajima

18 papers receiving 1.6k citations

Hit Papers

Staphylococcus epidermidis Esp inhibits Staphylococcus au... 2010 2026 2015 2020 2010 200 400 600

Peers

Akiko Tajima
Comparison fields: 5 of 121
  • Molecular Biology 860
  • Infectious Diseases 441
  • Microbiology 317
  • Dermatology 263
  • Food Science 248
Replace Tadayuki Iwase with:
Tadayuki Iwase Japan
Yue Zheng United States
Bernhard Krismer Germany
Elke Peeters Belgium
Enea Gino Di Domenico Italy
Shinya Sugimoto Japan
Jakub Kwieciński United States
Jungmin Kim South Korea
Jeremy M. Yarwood United States
Nitaya Indrawattana Thailand
Tadayuki Iwase Japan View profile →
Citations per field, relative to Akiko Tajima
Akiko Tajima · 1×
Citations per year, relative to Akiko Tajima
Akiko Tajima · 1×

Countries citing papers authored by Akiko Tajima

Since Specialization
Citations

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

Fields of papers citing papers by Akiko Tajima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akiko Tajima

This figure shows the co-authorship network connecting the top 25 collaborators of Akiko Tajima. A scholar is included among the top collaborators of Akiko Tajima 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 Akiko Tajima. Akiko Tajima 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 4
2 4
3 3
4 7
5 235
6 179
7 56
8 242
9 13
10 78
11
Staphylococcus epidermidis Esp inhibits Staphylococcus aureus biofilm formation and nasal colonization breakdown →
715
12 37
13 52
14 5
15 10
16 16
17 26
18 3

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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