Akiko Kuma
- Epidemiology top 0.2%
- Molecular Biology top 2%
- Cell Biology top 0.5%
- Physiology top 0.2%
- Physiology top 5%
- Co-authors
- Noboru MizushimaYoshinori OhsumiAkitsugu YamamotoTamotsu YoshimoriMakoto MatsuiMasahiko HatanoTakeshi TokuhisaHaruaki Nakaya
- Topics
- Autophagy in Disease and Therapy (24 papers)Endoplasmic Reticulum Stress and Disease (5 papers)Cellular transport and secretion (4 papers)
- Cited by
- PhysiologyEpidemiologyCell Biology
- Partner nations
- JapanSwitzerlandNorway
In The Last Decade
Akiko Kuma
28 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Epidemiology 4.4k
- Molecular Biology 2.7k
- Cell Biology 1.3k
- Physiology 628
- Physiology 584
Countries citing papers authored by Akiko Kuma
This map shows the geographic impact of Akiko Kuma'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 Akiko Kuma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akiko Kuma more than expected).
Fields of papers citing papers by Akiko Kuma
This network shows the impact of papers produced by Akiko Kuma. 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 Akiko Kuma. The network helps show where Akiko Kuma may publish in the future.
Co-authorship network of co-authors of Akiko Kuma
This figure shows the co-authorship network connecting the top 25 collaborators of Akiko Kuma. A scholar is included among the top collaborators of Akiko Kuma 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 Akiko Kuma. Akiko Kuma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 12 | |
| 3 | 30 | |
| 4 | 60 | |
| 5 | 73 | |
| 6 | 23 | |
| 7 | 151 | |
| 8 | 100 | |
| 9 | 68 | |
| 10 | 66 | |
| 11 | 96 | |
| 12 | [Physiological role of autophagy in metabolism and its regulation mechanism]. | 4 |
| 13 | 180 | |
| 14 | 29 | |
| 15 | 86 | |
| 16 | 461 | |
| 17 | 95 | |
| 18 | The role of autophagy during the early neonatal starvation periodbreakdown → | 2365 |
| 19 | Mouse Apg16L, a novel WD-repeat protein, targets to the autophagic isolation membrane with the Apg12-Apg5 conjugatebreakdown → | 605 |
| 20 | Formation of the ∼350-kDa Apg12-Apg5·Apg16 Multimeric Complex, Mediated by Apg16 Oligomerization, Is Essential for Autophagy in Yeastbreakdown → | 350 |
About Akiko Kuma
Akiko Kuma is a scholar working on Geriatrics and Gerontology, Epidemiology and Parasitology, having authored 28 papers that have together received 5.9k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (24 papers), Endoplasmic Reticulum Stress and Disease (5 papers) and Cellular transport and secretion (4 papers). The work is most often cited by research in Physiology (628 citations), Epidemiology (4.4k citations) and Cell Biology (1.3k citations). Akiko Kuma has collaborated with scholars based in Japan, Switzerland and Norway. Frequent co-authors include Noboru Mizushima, Yoshinori Ohsumi, Akitsugu Yamamoto, Tamotsu Yoshimori, Makoto Matsui, Masahiko Hatano, Takeshi Tokuhisa, Haruaki Nakaya, Satoshi Tsukamoto and Masaaki Komatsu. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.