Yukiko Kabeya
- Epidemiology top 0.5%
- Molecular Biology top 5%
- Cell Biology top 0.5%
- Physiology top 0.5%
- Physiology top 5%
- Co-authors
- Yoshinori OhsumiTamotsu YoshimoriNoboru MizushimaAkitsugu YamamotoAkio KiharaKuninori SuzukiMasahiko HatanoYoshinori Kobayashi
- Topics
- Autophagy in Disease and Therapy (12 papers)Endoplasmic Reticulum Stress and Disease (7 papers)Cellular transport and secretion (6 papers)
- Cited by
- PhysiologyEpidemiologyCell Biology
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Yukiko Kabeya
21 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Epidemiology 3.8k
- Molecular Biology 2.3k
- Cell Biology 1.6k
- Physiology 561
- Physiology 447
Countries citing papers authored by Yukiko Kabeya
This map shows the geographic impact of Yukiko Kabeya'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 Yukiko Kabeya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yukiko Kabeya more than expected).
Fields of papers citing papers by Yukiko Kabeya
This network shows the impact of papers produced by Yukiko Kabeya. 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 Yukiko Kabeya. The network helps show where Yukiko Kabeya may publish in the future.
Co-authorship network of co-authors of Yukiko Kabeya
This figure shows the co-authorship network connecting the top 25 collaborators of Yukiko Kabeya. A scholar is included among the top collaborators of Yukiko Kabeya 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 Yukiko Kabeya. Yukiko Kabeya 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 | 3 | |
| 3 | 5 | |
| 4 | 22 | |
| 5 | 32 | |
| 6 | 41 | |
| 7 | 37 | |
| 8 | 90 | |
| 9 | 211 | |
| 10 | 75 | |
| 11 | 54 | |
| 12 | 260 | |
| 13 | LC3, GABARAP and GATE16 localize to autophagosomal membrane depending on form-II formationbreakdown → | 1135 |
| 14 | 70 | |
| 15 | 17 | |
| 16 | 3 | |
| 17 | Beclin–phosphatidylinositol 3‐kinase complex functions at the trans ‐Golgi networkbreakdown → | 703 |
| 18 | Dissection of Autophagosome Formation Using Apg5-Deficient Mouse Embryonic Stem Cellsbreakdown → | 1136 |
| 19 | The Reversible Modification Regulates the Membrane-Binding State of Apg8/Aut7 Essential for Autophagy and the Cytoplasm to Vacuole Targeting Pathwaybreakdown → | 755 |
| 20 | 172 |
About Yukiko Kabeya
Yukiko Kabeya is a scholar working on Cell Biology, Physiology and Epidemiology, having authored 21 papers that have together received 4.9k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (12 papers), Endoplasmic Reticulum Stress and Disease (7 papers) and Cellular transport and secretion (6 papers). The work is most often cited by research in Physiology (561 citations), Epidemiology (3.8k citations) and Cell Biology (1.6k citations). Yukiko Kabeya has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Yoshinori Ohsumi, Tamotsu Yoshimori, Noboru Mizushima, Akitsugu Yamamoto, Akio Kihara, Kuninori Suzuki, Masahiko Hatano, Yoshinori Kobayashi, Takeshi Tokuhisa and Mariko Ohsumi. 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.