Aya Kawanami

797 citations
10 papers · 619 · h-index 8

Impact in

  • Genetics top 10%
    • Connective tissue disorders research
    • Mesenchymal stem cell research
    • Bone Metabolism and Diseases
    • Fibroblast Growth Factor Research
    • TGF-β signaling in diseases

Papers in

Aya Kawanami

9 papers receiving 611 citations

Peers

Aya Kawanami
Comparison fields: 5 of 74
  • Genetics 90
  • Genetics 174
  • Molecular Biology 378
  • Rheumatology 81
  • Cancer Research 61
Replace Jens Pohl with:
Jens Pohl Germany
Heidrun Lauke Germany
Miho Ibi Japan
Nicola C. Ho United States
Charles H. Rundle United States
Simona Zanotti Italy
Michiko Yoshida Japan
Arshia Soleimani United States
Paola Zordan Italy
Muhammad Faiyaz‐Ul‐Haque Canada
Aya Kawanami relative to Jens Pohl Germany Jens Pohl's profile →
Citations per field
00.5×4.6×
Jens Pohl · 1×
Citations per year

Countries citing papers authored by Aya Kawanami

Since Specialization
Citations

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

Fields of papers citing papers by Aya Kawanami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2009189
2 2009149
3 2008115
4 201360
5 201244
6 201038
7 200813
8 201310
9
ERK1 and ERK2 play essential roles in osteoblast differentiation and in supporting osteoclastogenesis
20091
10 20230

About Aya Kawanami

Aya Kawanami is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Genetics and Rheumatology, having authored 10 papers that have together received 619 indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (5 papers), Connective tissue disorders research (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Fibroblast Growth Factor Research (2 papers), dental development and anomalies (2 papers), Pharmacovigilance and Adverse Drug Reactions (1 paper), TGF-β signaling in diseases (1 paper) and Protein Tyrosine Phosphatases (1 paper). The work is most often cited by research in Genetics (90 citations), Genetics (174 citations), Molecular Biology (378 citations), Rheumatology (81 citations) and Cancer Research (61 citations). Aya Kawanami has collaborated with scholars based in United States, Japan and Russia. Frequent co-authors include Shunichi Murakami, Takehiko Matsushita, Yuk Yu Chan, Gener Balmes, Gary E. Landreth, William R. Wilcox, Pavel Krejčı́, David Givol, Pertchoui B. Mekikian and Hülya Bükülmez. Their work appears in journals such as Human Molecular Genetics, Journal of Orthopaedic Research®, Journal of Neuroscience, Journal of Neural Transmission and Developmental Biology.

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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