Junko Wakabayashi
- Molecular Biology top 5%
- Physiology top 5%
- Neurology top 5%
- Epidemiology top 10%
- Clinical Biochemistry top 1%
- Co-authors
- Nobunao WakabayashiMasayuki YamamotoThomas W. KenslerHiromi SesakiHozumi MotohashiMiho IijimaZhongyan ZhangMasahiro Fukaya
- Topics
- Genomics, phytochemicals, and oxidative stress (5 papers)Mitochondrial Function and Pathology (5 papers)Autophagy in Disease and Therapy (3 papers)
- Partner nations
- JapanUnited StatesRussia
In The Last Decade
Junko Wakabayashi
18 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Molecular Biology 2.5k
- Physiology 484
- Neurology 401
- Epidemiology 381
- Clinical Biochemistry 334
Countries citing papers authored by Junko Wakabayashi
This map shows the geographic impact of Junko Wakabayashi'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 Junko Wakabayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junko Wakabayashi more than expected).
Fields of papers citing papers by Junko Wakabayashi
This network shows the impact of papers produced by Junko Wakabayashi. 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 Junko Wakabayashi. The network helps show where Junko Wakabayashi may publish in the future.
Co-authorship network of co-authors of Junko Wakabayashi
This figure shows the co-authorship network connecting the top 25 collaborators of Junko Wakabayashi. A scholar is included among the top collaborators of Junko Wakabayashi 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 Junko Wakabayashi. Junko Wakabayashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 211 | |
| 4 | Direct Membrane Association Drives Mitochondrial Fission by the Parkinson Disease-associated Protein α-Synucleinbreakdown → | 484 |
| 5 | 132 | |
| 6 | 190 | |
| 7 | 237 | |
| 8 | 8 | |
| 9 | The dynamin-related GTPase Drp1 is required for embryonic and brain development in micebreakdown → | 526 |
| 10 | 434 | |
| 11 | 26 | |
| 12 | 210 | |
| 13 | 24 | |
| 14 | Keap1-null mutation leads to postnatal lethality due to constitutive Nrf2 activationbreakdown → | 728 |
| 15 | 36 | |
| 16 | 17 | |
| 17 | 27 | |
| 18 | 2 |
About Junko Wakabayashi
Junko Wakabayashi is a scholar working on Biological Psychiatry, Behavioral Neuroscience and Developmental Neuroscience, having authored 18 papers that have together received 3.3k indexed citations. Recurring topics across this work include Genomics, phytochemicals, and oxidative stress (5 papers), Mitochondrial Function and Pathology (5 papers) and Autophagy in Disease and Therapy (3 papers). The work is most often cited by research in Clinical Biochemistry (334 citations), Molecular Biology (2.5k citations) and Aging (52 citations). Junko Wakabayashi has collaborated with scholars based in Japan, United States and Russia. Frequent co-authors include Nobunao Wakabayashi, Masayuki Yamamoto, Thomas W. Kensler, Hiromi Sesaki, Hozumi Motohashi, Miho Iijima, Zhongyan Zhang, Masahiro Fukaya, Yasushi Tamura and Jonathan Maher. Their work appears in journals such as Journal of Biological Chemistry, Nature Genetics and The Journal of Experimental Medicine.
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.