Ayako Takemori

752 citations
24 papers · 546 · h-index 11

Impact in

    • Advanced Proteomics Techniques and Applications
    • Mass Spectrometry Techniques and Applications
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • Advanced Proteomics Techniques and Applications 16
    • Mass Spectrometry Techniques and Applications 14
    • Metabolomics and Mass Spectrometry Studies 8
    • RNA and protein synthesis mechanisms 3
    • Microbial Metabolic Engineering and Bioproduction 2

Ayako Takemori

23 papers receiving 540 citations

Peers

Ayako Takemori
Comparison fields: 5 of 77
  • Spectroscopy 153
  • Immunology 109
  • Molecular Biology 277
  • Building and Construction 49
  • Biomedical Engineering 102
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Weijia Xu China
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Guoqing Li China
Mohammad Akbarzadeh Iran
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Citations per field
00.5×4.3×
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Citations per year

Countries citing papers authored by Ayako Takemori

Since Specialization
Citations

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

Fields of papers citing papers by Ayako Takemori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ayako Takemori, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ayako Takemori Line = papers co-authored together Ayako Takemori links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018108
2 201670
3 202065
4 201864
5 201744
6 202226
7 201420
8 202019
9 202219
10 201719
11 201718
12 201410
13 202110
14 201610
15 20239
16 20217
17 20256
18 20226
19 20215
20 20195

About Ayako Takemori

Ayako Takemori is a scholar working on Spectroscopy, Molecular Biology, Biomedical Engineering, Pulmonary and Respiratory Medicine and Neurology, having authored 24 papers that have together received 546 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (16 papers), Mass Spectrometry Techniques and Applications (14 papers), Metabolomics and Mass Spectrometry Studies (8 papers), RNA and protein synthesis mechanisms (3 papers), Biofuel production and bioconversion (2 papers), Vasculitis and related conditions (2 papers), Biosensors and Analytical Detection (2 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). The work is most often cited by research in Spectroscopy (153 citations), Immunology (109 citations), Molecular Biology (277 citations), Building and Construction (49 citations) and Biomedical Engineering (102 citations). Ayako Takemori has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Nobuaki Takemori, Junpei Suzuki, Hitoshi Hasegawa, Masakatsu Yamashita, Jun Ishizaki, Masaki Yasukawa, Esteban Marcellin, Kaspar Valgepea, Michael Köpke and Séan D. Simpson. Their work appears in journals such as Journal of Proteome Research, PROTEOMICS, Molecular BioSystems, Arthritis Research & Therapy and Analytical Chemistry.

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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