Mariko Ohsumi
- Epidemiology top 0.2%
- Molecular Biology top 2%
- Cell Biology top 0.2%
- Physiology top 0.2%
- Plant Science top 5%
- Co-authors
- Yoshinori OhsumiTakeshi NodaNoboru MizushimaTamotsu YoshimoriTakayoshi KirisakoNaotada IshiharaToshifumi TakaoYoshinobu Ichimura
- Topics
- Endoplasmic Reticulum Stress and Disease (8 papers)Autophagy in Disease and Therapy (7 papers)Cellular transport and secretion (6 papers)
- Cited by
- PhysiologyEpidemiologyCell Biology
- Partner nations
- JapanSouth KoreaUnited States
In The Last Decade
Mariko Ohsumi
25 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Epidemiology 5.0k
- Molecular Biology 3.3k
- Cell Biology 2.2k
- Physiology 660
- Plant Science 606
Countries citing papers authored by Mariko Ohsumi
This map shows the geographic impact of Mariko Ohsumi'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 Mariko Ohsumi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mariko Ohsumi more than expected).
Fields of papers citing papers by Mariko Ohsumi
This network shows the impact of papers produced by Mariko Ohsumi. 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 Mariko Ohsumi. The network helps show where Mariko Ohsumi may publish in the future.
Co-authorship network of co-authors of Mariko Ohsumi
This figure shows the co-authorship network connecting the top 25 collaborators of Mariko Ohsumi. A scholar is included among the top collaborators of Mariko Ohsumi 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 Mariko Ohsumi. Mariko Ohsumi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 79 | |
| 2 | 17 | |
| 3 | 19 | |
| 4 | 1 | |
| 5 | 71 | |
| 6 | 85 | |
| 7 | 46 | |
| 8 | A ubiquitin-like system mediates protein lipidationbreakdown → | 1625 |
| 9 | 11 | |
| 10 | The Reversible Modification Regulates the Membrane-Binding State of Apg8/Aut7 Essential for Autophagy and the Cytoplasm to Vacuole Targeting Pathwaybreakdown → | 755 |
| 11 | Formation Process of Autophagosome Is Traced with Apg8/Aut7p in Yeastbreakdown → | 723 |
| 12 | Apg7p/Cvt2p: A Novel Protein-activating Enzyme Essential for Autophagybreakdown → | 320 |
| 13 | 219 | |
| 14 | A protein conjugation system essential for autophagybreakdown → | 1320 |
| 15 | [Autophagy in yeast]. | 13 |
| 16 | 3 | |
| 17 | 4 | |
| 18 | 4 | |
| 19 | 29 | |
| 20 | 4 |
About Mariko Ohsumi
Mariko Ohsumi is a scholar working on Cell Biology, Molecular Biology and Physiology, having authored 25 papers that have together received 6.5k indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (8 papers), Autophagy in Disease and Therapy (7 papers) and Cellular transport and secretion (6 papers). The work is most often cited by research in Physiology (660 citations), Epidemiology (5.0k citations) and Cell Biology (2.2k citations). Mariko Ohsumi has collaborated with scholars based in Japan, South Korea and United States. Frequent co-authors include Yoshinori Ohsumi, Takeshi Noda, Noboru Mizushima, Tamotsu Yoshimori, Takayoshi Kirisako, Naotada Ishihara, Toshifumi Takao, Yoshinobu Ichimura, Isei Tanida and Eiki Kominami. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.