Ayaka Toda

595 citations
8 papers · 434 · h-index 6

Impact in

  • Genetics top 5%
    • Mesenchymal stem cell research
    • Ocular Disorders and Treatments
  • Urology top 10%
    • Periodontal Regeneration and Treatments

Papers in

    • Photosynthetic Processes and Mechanisms 2
    • TGF-β signaling in diseases 1
    • Mesenchymal stem cell research 3

Ayaka Toda

8 papers receiving 415 citations

Peers

Ayaka Toda
Comparison fields: 5 of 61
  • Genetics 175
  • Urology 53
  • Radiology, Nuclear Medicine and Imaging 172
  • Rehabilitation 40
  • Surgery 242
Replace Andrew Song with:
Andrew Song United States
Lilia Levdansky Israel
Jorge Saá Spain
Shigeru Kinoshita Japan
Anja Peterbauer-Scherb Austria
Celena Heazlewood Australia
E. Rendal Spain
Melanie E. Pfeifer United States
Stéphane Maddens France
Neil Fairbairn United Kingdom
Ayaka Toda relative to Andrew Song United States Andrew Song's profile →
Citations per field
00.5×6.6×
Andrew Song · 1×
Citations per year

Countries citing papers authored by Ayaka Toda

Since Specialization
Citations

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

Fields of papers citing papers by Ayaka Toda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ayaka Toda, 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 Ayaka Toda Line = papers co-authored together Ayaka Toda links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2007286
2 200956
3 200436
4 200832
5 201213
6 20176
7 20193
8 20242

About Ayaka Toda

Ayaka Toda is a scholar working on Molecular Biology, Genetics, Surgery, Cancer Research and Ecology, Evolution, Behavior and Systematics, having authored 8 papers that have together received 434 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (3 papers), Tissue Engineering and Regenerative Medicine (2 papers), Photosynthetic Processes and Mechanisms (2 papers), MicroRNA in disease regulation (1 paper), Endometriosis Research and Treatment (1 paper), TGF-β signaling in diseases (1 paper), Plant and animal studies (1 paper) and Osteoarthritis Treatment and Mechanisms (1 paper). The work is most often cited by research in Genetics (175 citations), Urology (53 citations), Radiology, Nuclear Medicine and Imaging (172 citations), Rehabilitation (40 citations) and Surgery (242 citations). Ayaka Toda has collaborated with scholars based in Japan. Frequent co-authors include Toshio Nikaido, Motonori Okabe, Toshiko Yoshida, Ikuo Konishi, Shigeyuki Wakitani, Masashi Nawata, Kiyokazu Kametani, Jun Wei, Masao Ôta and Tanri Shiozawa. Their work appears in journals such as Tissue and Cell, Bioscience Biotechnology and Biochemistry, Journal of Photochemistry and Photobiology A Chemistry, Cell Transplantation and Human Pathology.

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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