Madoka Mori‐Yoshimura
- Molecular Biology
- Epidemiology top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Genetics top 5%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Ichizo NishinoYasushi OyaYukiko HayashiMiho MurataHarumasa NakamuraEn KimuraHirofumi KomakiS. Noguchi
- Topics
- Muscle Physiology and Disorders (42 papers)Inflammatory Myopathies and Dermatomyositis (28 papers)Genetic Neurodegenerative Diseases (23 papers)
- Journals
- PLoS ONENeurologyScientific Reports
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Madoka Mori‐Yoshimura
78 papers receiving 875 citations
Peers
Comparison fields: 5 of 68
- Molecular Biology 522
- Epidemiology 278
- Cardiology and Cardiovascular Medicine 213
- Genetics 168
- Cellular and Molecular Neuroscience 156
Countries citing papers authored by Madoka Mori‐Yoshimura
This map shows the geographic impact of Madoka Mori‐Yoshimura'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 Madoka Mori‐Yoshimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Madoka Mori‐Yoshimura more than expected).
Fields of papers citing papers by Madoka Mori‐Yoshimura
This network shows the impact of papers produced by Madoka Mori‐Yoshimura. 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 Madoka Mori‐Yoshimura. The network helps show where Madoka Mori‐Yoshimura may publish in the future.
Co-authorship network of co-authors of Madoka Mori‐Yoshimura
This figure shows the co-authorship network connecting the top 25 collaborators of Madoka Mori‐Yoshimura. A scholar is included among the top collaborators of Madoka Mori‐Yoshimura 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 Madoka Mori‐Yoshimura. Madoka Mori‐Yoshimura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 14 | |
| 10 | 11 | |
| 11 | 4 | |
| 12 | 4 | |
| 13 | 20 | |
| 14 | 2 | |
| 15 | 7 | |
| 16 | 28 | |
| 17 | 6 | |
| 18 | 5 | |
| 19 | 15 | |
| 20 | 31 |
About Madoka Mori‐Yoshimura
Madoka Mori‐Yoshimura is a scholar working on Genetics, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 87 papers that have together received 881 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (42 papers), Inflammatory Myopathies and Dermatomyositis (28 papers) and Genetic Neurodegenerative Diseases (23 papers). The work is most often cited by research in Genetics (168 citations), Cardiology and Cardiovascular Medicine (213 citations) and Cellular and Molecular Neuroscience (156 citations). Madoka Mori‐Yoshimura has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Ichizo Nishino, Yasushi Oya, Yukiko Hayashi, Miho Murata, Harumasa Nakamura, En Kimura, Hirofumi Komaki, S. Noguchi, Shin’ichi Takeda and Yuji Takahashi. Their work appears in journals such as PLoS ONE, Neurology and Scientific Reports.
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.