Yayoi Kimura
Impact in
- Cell Biology top 1%
- Endoplasmic Reticulum Stress and Disease
- Cellular transport and secretion
- Epidemiology top 2%
- Autophagy in Disease and Therapy
Papers in
-
- Ubiquitin and proteasome pathways 9
- Glycosylation and Glycoproteins Research 5
- Cell Biology 16
- Muscle metabolism and nutrition 6
- Co-authors
- Hisashi Hirano (50 shared papers)Yoshinori Ohsumi (6 shared papers)Yu Oikawa (4 shared papers)Hitoshi Nakatogawa (4 shared papers)Hiromi Kirisako (3 shared papers)Keisuke Mochida (1 shared paper)Hayashi Yamamoto (4 shared papers)Chika Kondo‐Kakuta (3 shared papers)
- Journals
- Journal of Proteomics (11 papers)PROTEOMICS (9 papers)Anticancer Research (6 papers)Journal of Proteome Research (3 papers)The Journal of Cell Biology (3 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Yayoi Kimura
86 papers receiving 2.5k citations
Yayoi Kimura's Hit Papers
Peers
Comparison fields: 5 of 106
- Cell Biology 731
- Epidemiology 985
- Physiology 138
- Molecular Biology 1.4k
- Aging 25
Countries citing papers authored by Yayoi Kimura
This map shows the geographic impact of Yayoi Kimura'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 Yayoi Kimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yayoi Kimura more than expected).
Fields of papers citing papers by Yayoi Kimura
This network shows the impact of papers produced by Yayoi Kimura. 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 Yayoi Kimura. The network helps show where Yayoi Kimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Yayoi Kimura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Receptor-mediated selective autophagy degrades the endoplasmic reticulum and the nucleus Hit paper breakdown → | 2015 | 477 |
| 2 | The Intrinsically Disordered Protein Atg13 Mediates Supramolecular Assembly of Autophagy Initiation Complexes Hit paper breakdown → | 2016 | 178 |
| 3 | 2014 | 177 | |
| 4 | 2015 | 132 | |
| 5 | 2000 | 91 | |
| 6 | 2020 | 76 | |
| 7 | 2004 | 71 | |
| 8 | 2002 | 68 | |
| 9 | 2014 | 66 | |
| 10 | 2020 | 64 | |
| 11 | 2019 | 54 | |
| 12 | 2017 | 51 | |
| 13 | 2010 | 51 | |
| 14 | 2020 | 51 | |
| 15 | 2015 | 50 | |
| 16 | 2016 | 48 | |
| 17 | 2010 | 40 | |
| 18 | 2014 | 36 | |
| 19 | 1998 | 35 | |
| 20 | 2010 | 34 |
About Yayoi Kimura
Yayoi Kimura is a scholar working on Molecular Biology, Cell Biology, Oncology, Epidemiology and Immunology, having authored 91 papers that have together received 2.5k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (9 papers), Peptidase Inhibition and Analysis (8 papers), Autophagy in Disease and Therapy (7 papers), Muscle metabolism and nutrition (6 papers), Advanced Proteomics Techniques and Applications (6 papers), Glycosylation and Glycoproteins Research (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Spaceflight effects on biology (5 papers). The work is most often cited by research in Cell Biology (731 citations), Epidemiology (985 citations), Physiology (138 citations), Molecular Biology (1.4k citations) and Aging (25 citations). Yayoi Kimura has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Hisashi Hirano, Yoshinori Ohsumi, Yu Oikawa, Hitoshi Nakatogawa, Hiromi Kirisako, Keisuke Mochida, Hayashi Yamamoto, Chika Kondo‐Kakuta, S. Suzuki and Nobuo N. Noda. Their work appears in journals such as Journal of Proteomics, PROTEOMICS, Anticancer Research, Journal of Proteome Research 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.