Simon Dawson
Impact in
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease
- Oncology top 5%
- Cancer-related Molecular Pathways
Papers in
-
- Ubiquitin and proteasome pathways 22
- Glycosylation and Glycoproteins Research 3
- Oncology 10
- Cancer-related Molecular Pathways 6
- Peptidase Inhibition and Analysis 4
- Co-authors
- R. John Mayer (17 shared papers)Hiroaki Higashitsuji (9 shared papers)Katsuhiko Itoh (5 shared papers)Toshikazu Nagao (4 shared papers)Jun Fujita (6 shared papers)Kohsuke Nonoguchi (2 shared papers)R. John Mayer (4 shared papers)Toshiharu Sakurai (4 shared papers)
- Journals
- Journal of Biological Chemistry (4 papers)Biochemical and Biophysical Research Communications (2 papers)Cancer Cell (2 papers)Molecular Biology Reports (2 papers)FEBS Letters (2 papers)
- Partner nations
- United KingdomJapanGermany
In The Last Decade
Simon Dawson
28 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 77
- Cell Biology 279
- Oncology 396
- Molecular Biology 1.0k
- Cancer Research 156
- Epidemiology 229
Countries citing papers authored by Simon Dawson
This map shows the geographic impact of Simon Dawson'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 Simon Dawson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Dawson more than expected).
Fields of papers citing papers by Simon Dawson
This network shows the impact of papers produced by Simon Dawson. 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 Simon Dawson. The network helps show where Simon Dawson may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon Dawson, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 255 | |
| 2 | 2005 | 194 | |
| 3 | 2002 | 109 | |
| 4 | 2003 | 91 | |
| 5 | 2006 | 76 | |
| 6 | 2004 | 75 | |
| 7 | 2002 | 68 | |
| 8 | 1996 | 49 | |
| 9 | 2001 | 45 | |
| 10 | 2007 | 42 | |
| 11 | 2008 | 39 | |
| 12 | 2007 | 35 | |
| 13 | 1997 | 31 | |
| 14 | 1998 | 30 | |
| 15 | 1996 | 24 | |
| 16 | 1997 | 19 | |
| 17 | 2012 | 19 | |
| 18 | 2004 | 18 | |
| 19 | 2000 | 15 | |
| 20 | 1999 | 13 |
About Simon Dawson
Simon Dawson is a scholar working on Molecular Biology, Oncology, Genetics, Cell Biology and Cancer Research, having authored 28 papers that have together received 1.3k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (22 papers), Genetics and Neurodevelopmental Disorders (6 papers), Cancer-related Molecular Pathways (6 papers), Peptidase Inhibition and Analysis (4 papers), Glycosylation and Glycoproteins Research (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Microtubule and mitosis dynamics (2 papers). The work is most often cited by research in Cell Biology (279 citations), Oncology (396 citations), Molecular Biology (1.0k citations), Cancer Research (156 citations) and Epidemiology (229 citations). Simon Dawson has collaborated with scholars based in United Kingdom, Japan and Germany. Frequent co-authors include R. John Mayer, Hiroaki Higashitsuji, Katsuhiko Itoh, Toshikazu Nagao, Jun Fujita, Kohsuke Nonoguchi, R. John Mayer, Toshiharu Sakurai, Tsuneo Kido and Shigeki Arii. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Cancer Cell, Molecular Biology Reports and FEBS Letters.
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.