Hayashi Yamamoto
- Physiology top 0.5%
- Lysosomal Storage Disorders Research 6
- Calcium signaling and nucleotide metabolism 6
- Cell Biology top 0.5%
- Endoplasmic Reticulum Stress and Disease 12
- Cellular transport and secretion 9
- Epidemiology top 0.5%
- Autophagy in Disease and Therapy 33
- Clinical Biochemistry top 1%
- Molecular Biology top 2%
- Mitochondrial Function and Pathology 9
- Ubiquitin and proteasome pathways 7
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- Toxoplasma gondii Research Studies 9
- Co-authors
- Noboru MizushimaYoshinori OhsumiChika Kondo‐KakutaToshiya EndoSidi ZhangMasatoshi EsakiSoichiro KakutaYasushi Tamura
- Cited by
- PhysiologyCell BiologyEpidemiology
- Journals
- Journal of Biological Chemistry (8 papers)The Journal of Cell Biology (6 papers)eLife (6 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Hayashi Yamamoto
54 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Physiology 499
- Cell Biology 1.5k
- Epidemiology 2.5k
- Clinical Biochemistry 279
- Molecular Biology 2.6k
Countries citing papers authored by Hayashi Yamamoto
This map shows the geographic impact of Hayashi Yamamoto'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 Hayashi Yamamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hayashi Yamamoto more than expected).
Fields of papers citing papers by Hayashi Yamamoto
This network shows the impact of papers produced by Hayashi Yamamoto. 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 Hayashi Yamamoto. The network helps show where Hayashi Yamamoto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hayashi Yamamoto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 7 | |
| 3 | Autophagy genes in biology and diseasebreakdown → | 2023 | 356 |
| 4 | Molecular Mechanisms of Macroautophagy, Microautophagy, and Chaperone-Mediated Autophagybreakdown → | 2023 | 79 |
| 5 | 2022 | 86 | |
| 6 | 2022 | 55 | |
| 7 | 2022 | 79 | |
| 8 | 2021 | 27 | |
| 9 | 2020 | 213 | |
| 10 | 2017 | 158 | |
| 11 | 2015 | 15 | |
| 12 | Fine mapping of autophagy-related proteins during autophagosome formation in Saccharomyces cerevisiaebreakdown → | 2013 | 251 |
| 13 | 2012 | 60 | |
| 14 | 2012 | 88 | |
| 15 | 2012 | 52 | |
| 16 | 2012 | 54 | |
| 17 | 2012 | 93 | |
| 18 | 2009 | 92 | |
| 19 | 2004 | 49 | |
| 20 | 2004 | 39 |
About Hayashi Yamamoto
Hayashi Yamamoto is a scholar working on Physiology, Cell Biology, Parasitology, Epidemiology and Molecular Biology, having authored 54 papers that have together received 4.5k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (33 papers), Endoplasmic Reticulum Stress and Disease (12 papers), Mitochondrial Function and Pathology (9 papers), Cellular transport and secretion (9 papers), Toxoplasma gondii Research Studies (9 papers), Ubiquitin and proteasome pathways (7 papers), Lysosomal Storage Disorders Research (6 papers) and Calcium signaling and nucleotide metabolism (6 papers). The work is most often cited by research in Physiology (499 citations), Cell Biology (1.5k citations), Epidemiology (2.5k citations), Clinical Biochemistry (279 citations) and Molecular Biology (2.6k citations). Hayashi Yamamoto has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Noboru Mizushima, Yoshinori Ohsumi, Chika Kondo‐Kakuta, Toshiya Endo, Sidi Zhang, Masatoshi Esaki, Soichiro Kakuta, Yasushi Tamura, Shuh‐ichi Nishikawa and Takahide Matsui. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Cell Biology, eLife, Autophagy and Nature Structural & Molecular 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.