Jun Hoseki
Impact in
- Cell Biology top 2%
- Endoplasmic Reticulum Stress and Disease
- Cellular transport and secretion
- Aging top 10%
Papers in
-
- Biochemical and Molecular Research 3
- RNA regulation and disease 3
- Glycosylation and Glycoproteins Research 2
- Heat shock proteins research 2
- DNA Repair Mechanisms 2
- Cell Biology 12
- Endoplasmic Reticulum Stress and Disease 12
- Co-authors
- Ryo Ushioda (4 shared papers)Kazuhiro Nagata (9 shared papers)Kazutaka Araki (3 shared papers)Gregor Jansen (1 shared paper)David Y. Thomas (1 shared paper)K. Nagata (1 shared paper)Seiki Kuramitsu (5 shared papers)Yasuyoshi Sakai (5 shared papers)
- Journals
- The Journal of Biochemistry (3 papers)Scientific Reports (3 papers)FEBS Letters (2 papers)Journal of Molecular Biology (2 papers)Cell Structure and Function (2 papers)
- Partner nations
- JapanItalyUnited States
In The Last Decade
Jun Hoseki
24 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 95
- Cell Biology 744
- Aging 24
- Physiology 62
- Molecular Biology 900
- Epidemiology 333
Countries citing papers authored by Jun Hoseki
This map shows the geographic impact of Jun Hoseki'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 Jun Hoseki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Hoseki more than expected).
Fields of papers citing papers by Jun Hoseki
This network shows the impact of papers produced by Jun Hoseki. 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 Jun Hoseki. The network helps show where Jun Hoseki may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Hoseki, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 336 | |
| 2 | 2014 | 176 | |
| 3 | 2007 | 158 | |
| 4 | 2009 | 150 | |
| 5 | 1999 | 142 | |
| 6 | 2011 | 123 | |
| 7 | 2014 | 87 | |
| 8 | 2013 | 76 | |
| 9 | 2003 | 57 | |
| 10 | 2009 | 43 | |
| 11 | 2007 | 41 | |
| 12 | 2010 | 38 | |
| 13 | 2005 | 29 | |
| 14 | 2017 | 26 | |
| 15 | 2010 | 23 | |
| 16 | 2016 | 21 | |
| 17 | 2003 | 19 | |
| 18 | 2013 | 14 | |
| 19 | 2012 | 12 | |
| 20 | 2016 | 6 |
About Jun Hoseki
Jun Hoseki is a scholar working on Molecular Biology, Cell Biology, Epidemiology, Physiology and Genetics, having authored 25 papers that have together received 1.6k indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (12 papers), Autophagy in Disease and Therapy (8 papers), Biochemical and Molecular Research (3 papers), RNA regulation and disease (3 papers), Glycosylation and Glycoproteins Research (2 papers), Heat shock proteins research (2 papers), Alzheimer's disease research and treatments (2 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Cell Biology (744 citations), Aging (24 citations), Physiology (62 citations), Molecular Biology (900 citations) and Epidemiology (333 citations). Jun Hoseki has collaborated with scholars based in Japan, Italy and United States. Frequent co-authors include Ryo Ushioda, Kazuhiro Nagata, Kazutaka Araki, Gregor Jansen, David Y. Thomas, K. Nagata, Seiki Kuramitsu, Yasuyoshi Sakai, Masahide Oku and Hiroyuki Kagamiyama. Their work appears in journals such as The Journal of Biochemistry, Scientific Reports, FEBS Letters, Journal of Molecular Biology and Cell Structure and Function.
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.