Hideki Yashiroda
Impact in
- Cell Biology top 1%
- Endoplasmic Reticulum Stress and Disease
- Molecular Biology top 5%
- Ubiquitin and proteasome pathways
- Glycosylation and Glycoproteins Research
- Fungal and yeast genetics research
- RNA modifications and cancer
Papers in
-
- Ubiquitin and proteasome pathways 27
- Glycosylation and Glycoproteins Research 5
- Fungal and yeast genetics research 3
- RNA modifications and cancer 3
- Cell Biology 15
- Endoplasmic Reticulum Stress and Disease 15
- Co-authors
- Shigeo Murata (21 shared papers)Keiji Tanaka (13 shared papers)Tohru Natsume (2 shared papers)Yoshiko Kikuchi (4 shared papers)Shun‐ichiro Iemura (2 shared papers)Akio Toh‐e (4 shared papers)Jun Hamazaki (4 shared papers)Yuko Hirano (5 shared papers)
In The Last Decade
Hideki Yashiroda
31 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 86
- Cell Biology 833
- Molecular Biology 1.9k
- Aging 46
- Oncology 399
- Epidemiology 450
Countries citing papers authored by Hideki Yashiroda
This map shows the geographic impact of Hideki Yashiroda'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 Hideki Yashiroda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideki Yashiroda more than expected).
Fields of papers citing papers by Hideki Yashiroda
This network shows the impact of papers produced by Hideki Yashiroda. 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 Hideki Yashiroda. The network helps show where Hideki Yashiroda may publish in the future.
Co-authors
The 25 scholars most cited alongside Hideki Yashiroda, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 435 | |
| 2 | 2006 | 210 | |
| 3 | 2005 | 207 | |
| 4 | 2016 | 138 | |
| 5 | 2008 | 131 | |
| 6 | 2008 | 97 | |
| 7 | 2006 | 92 | |
| 8 | 1996 | 92 | |
| 9 | 2001 | 80 | |
| 10 | 2002 | 77 | |
| 11 | 1999 | 72 | |
| 12 | 2003 | 67 | |
| 13 | 2009 | 66 | |
| 14 | 1998 | 49 | |
| 15 | 1998 | 47 | |
| 16 | 2015 | 41 | |
| 17 | 2004 | 33 | |
| 18 | 2015 | 29 | |
| 19 | 2013 | 28 | |
| 20 | 2013 | 26 |
About Hideki Yashiroda
Hideki Yashiroda is a scholar working on Molecular Biology, Cell Biology, Oncology, Epidemiology and Genetics, having authored 31 papers that have together received 2.2k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (27 papers), Endoplasmic Reticulum Stress and Disease (15 papers), Peptidase Inhibition and Analysis (7 papers), Glycosylation and Glycoproteins Research (5 papers), Autophagy in Disease and Therapy (4 papers), Genetics and Neurodevelopmental Disorders (3 papers), Fungal and yeast genetics research (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Cell Biology (833 citations), Molecular Biology (1.9k citations), Aging (46 citations), Oncology (399 citations) and Epidemiology (450 citations). Hideki Yashiroda has collaborated with scholars based in Japan, Germany and Denmark. Frequent co-authors include Shigeo Murata, Keiji Tanaka, Tohru Natsume, Yoshiko Kikuchi, Shun‐ichiro Iemura, Akio Toh‐e, Jun Hamazaki, Yuko Hirano, Daisuke Kaida and Klavs B. Hendil. Their work appears in journals such as Genes to Cells, Molecular and Cellular Biology, Biochemical and Biophysical Research Communications, The EMBO Journal and Biomolecules.
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.