Yu‐shin Sou
- Molecular Biology top 1%
- Epidemiology top 0.2%
- Cell Biology top 0.5%
- Neurology top 1%
- Physiology top 5%
- Co-authors
- Masaaki KomatsuKeiji TanakaEiki KominamiTakashi UenoSatoshi WaguriYoshinobu IchimuraMasayuki YamamotoHozumi Motohashi
- Topics
- Autophagy in Disease and Therapy (19 papers)Ubiquitin and proteasome pathways (8 papers)Endoplasmic Reticulum Stress and Disease (6 papers)
- Cited by
- EpidemiologyPhysiologyCell Biology
- Partner nations
- JapanSouth KoreaGermany
In The Last Decade
Yu‐shin Sou
26 papers receiving 8.4k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Molecular Biology 5.2k
- Epidemiology 5.1k
- Cell Biology 1.8k
- Neurology 929
- Physiology 774
Countries citing papers authored by Yu‐shin Sou
This map shows the geographic impact of Yu‐shin Sou'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 Yu‐shin Sou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu‐shin Sou more than expected).
Fields of papers citing papers by Yu‐shin Sou
This network shows the impact of papers produced by Yu‐shin Sou. 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 Yu‐shin Sou. The network helps show where Yu‐shin Sou may publish in the future.
Co-authorship network of co-authors of Yu‐shin Sou
This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐shin Sou. A scholar is included among the top collaborators of Yu‐shin Sou 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 Yu‐shin Sou. Yu‐shin Sou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 94 | |
| 3 | 23 | |
| 4 | 13 | |
| 5 | 138 | |
| 6 | 70 | |
| 7 | 46 | |
| 8 | 95 | |
| 9 | Phosphorylation of p62 Activates the Keap1-Nrf2 Pathway during Selective Autophagybreakdown → | 950 |
| 10 | 130 | |
| 11 | 118 | |
| 12 | PINK1 stabilized by mitochondrial depolarization recruits Parkin to damaged mitochondria and activates latent Parkin for mitophagybreakdown → | 1542 |
| 13 | 328 | |
| 14 | The selective autophagy substrate p62 activates the stress responsive transcription factor Nrf2 through inactivation of Keap1breakdown → | 1958 |
| 15 | 191 | |
| 16 | A Role for NBR1 in Autophagosomal Degradation of Ubiquitinated Substratesbreakdown → | 908 |
| 17 | Structural Basis for Sorting Mechanism of p62 in Selective Autophagybreakdown → | 642 |
| 18 | 41 | |
| 19 | 72 | |
| 20 | 170 |
About Yu‐shin Sou
Yu‐shin Sou is a scholar working on Epidemiology, Cell Biology and Parasitology, having authored 28 papers that have together received 8.5k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (19 papers), Ubiquitin and proteasome pathways (8 papers) and Endoplasmic Reticulum Stress and Disease (6 papers). The work is most often cited by research in Epidemiology (5.1k citations), Physiology (577 citations) and Cell Biology (1.8k citations). Yu‐shin Sou has collaborated with scholars based in Japan, South Korea and Germany. Frequent co-authors include Masaaki Komatsu, Keiji Tanaka, Eiki Kominami, Takashi Ueno, Satoshi Waguri, Yoshinobu Ichimura, Masayuki Yamamoto, Hozumi Motohashi, Kei Okatsu and Nobutaka Hattori. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Cell 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.