Maho Hamasaki
- Epidemiology top 0.5%
- Molecular Biology top 5%
- Cell Biology top 0.5%
- Physiology top 5%
- Physiology top 0.5%
- Co-authors
- Tamotsu YoshimoriTakeshi NodaAkitsugu YamamotoAkiko NezuTsuyoshi KawabataNaonobu FujitaJose Norberto S. VargasRichard J. Youle
- Topics
- Autophagy in Disease and Therapy (32 papers)Endoplasmic Reticulum Stress and Disease (12 papers)Toxoplasma gondii Research Studies (5 papers)
- Cited by
- PhysiologyCell BiologyEpidemiology
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Maho Hamasaki
41 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Epidemiology 3.0k
- Molecular Biology 2.5k
- Cell Biology 1.5k
- Physiology 648
- Physiology 581
Countries citing papers authored by Maho Hamasaki
This map shows the geographic impact of Maho Hamasaki'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 Maho Hamasaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maho Hamasaki more than expected).
Fields of papers citing papers by Maho Hamasaki
This network shows the impact of papers produced by Maho Hamasaki. 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 Maho Hamasaki. The network helps show where Maho Hamasaki may publish in the future.
Co-authorship network of co-authors of Maho Hamasaki
This figure shows the co-authorship network connecting the top 25 collaborators of Maho Hamasaki. A scholar is included among the top collaborators of Maho Hamasaki 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 Maho Hamasaki. Maho Hamasaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 13 | |
| 3 | 11 | |
| 4 | 19 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | The mechanisms and roles of selective autophagy in mammalsbreakdown → | 579 |
| 8 | 31 | |
| 9 | 23 | |
| 10 | 56 | |
| 11 | 21 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | Ubiquitination of exposed glycoproteins by SCF FBXO27 directs damaged lysosomes for autophagy | 9 |
| 15 | 95 | |
| 16 | Autophagy sequesters damaged lysosomes to control lysosomal biogenesis and kidney injurybreakdown → | 467 |
| 17 | Autophagosomes form at ER–mitochondria contact sitesbreakdown → | 1351 |
| 18 | 67 | |
| 19 | 18 | |
| 20 | 61 |
About Maho Hamasaki
Maho Hamasaki is a scholar working on Epidemiology, Physiology and Parasitology, having authored 41 papers that have together received 4.9k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (32 papers), Endoplasmic Reticulum Stress and Disease (12 papers) and Toxoplasma gondii Research Studies (5 papers). The work is most often cited by research in Physiology (581 citations), Cell Biology (1.5k citations) and Epidemiology (3.0k citations). Maho Hamasaki has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Tamotsu Yoshimori, Takeshi Noda, Akitsugu Yamamoto, Akiko Nezu, Tsuyoshi Kawabata, Naonobu Fujita, Jose Norberto S. Vargas, Richard J. Youle, Atsushi Matsuda and Yasushi Hiraoka. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.
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.