Dean Gilham
Impact in
- Biochemistry top 1%
- Lipid metabolism and biosynthesis
Papers in
- Biochemistry 10
- Lipid metabolism and biosynthesis 10
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- Protein Degradation and Inhibitors 14
- Peroxisome Proliferator-Activated Receptors 5
- Co-authors
- Richard S. Lehner (10 shared papers)Dennis E. Vance (5 shared papers)Ewelina Kulikowski (21 shared papers)Norman C.W. Wong (16 shared papers)Michael Sweeney (17 shared papers)Sylwia Wasiak (18 shared papers)Laura M. Tsujikawa (17 shared papers)Christopher Halliday (8 shared papers)
- Journals
- Atherosclerosis (4 papers)Biomedicines (3 papers)European Heart Journal (3 papers)Journal of Biological Chemistry (2 papers)Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids (2 papers)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Dean Gilham
35 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 93
- Biochemistry 302
- Endocrinology, Diabetes and Metabolism 170
- Molecular Biology 742
- Hematology 93
- Physiology 205
Countries citing papers authored by Dean Gilham
This map shows the geographic impact of Dean Gilham'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 Dean Gilham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dean Gilham more than expected).
Fields of papers citing papers by Dean Gilham
This network shows the impact of papers produced by Dean Gilham. 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 Dean Gilham. The network helps show where Dean Gilham may publish in the future.
Co-authors
The 25 scholars most cited alongside Dean Gilham, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 174 | |
| 2 | 2007 | 138 | |
| 3 | 2004 | 106 | |
| 4 | 2003 | 106 | |
| 5 | 2008 | 101 | |
| 6 | 2019 | 101 | |
| 7 | 2016 | 95 | |
| 8 | 2007 | 79 | |
| 9 | 2004 | 70 | |
| 10 | 2018 | 53 | |
| 11 | 2017 | 49 | |
| 12 | 1998 | 47 | |
| 13 | 2017 | 45 | |
| 14 | 2017 | 35 | |
| 15 | 2007 | 35 | |
| 16 | 2003 | 32 | |
| 17 | 2021 | 22 | |
| 18 | 2012 | 21 | |
| 19 | 2005 | 20 | |
| 20 | 2004 | 20 |
About Dean Gilham
Dean Gilham is a scholar working on Biochemistry, Molecular Biology, Endocrinology, Diabetes and Metabolism, Hematology and Virology, having authored 36 papers that have together received 1.4k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (14 papers), Lipid metabolism and biosynthesis (10 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Diet, Metabolism, and Disease (4 papers), Pancreatic function and diabetes (4 papers), Peptidase Inhibition and Analysis (3 papers), Adipose Tissue and Metabolism (3 papers) and Cholesterol and Lipid Metabolism (2 papers). The work is most often cited by research in Biochemistry (302 citations), Endocrinology, Diabetes and Metabolism (170 citations), Molecular Biology (742 citations), Hematology (93 citations) and Physiology (205 citations). Dean Gilham has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Richard S. Lehner, Dennis E. Vance, Ewelina Kulikowski, Norman C.W. Wong, Michael Sweeney, Sylwia Wasiak, Laura M. Tsujikawa, Christopher Halliday, David Y. Hui and Vernon Wayne Dolinsky. Their work appears in journals such as Atherosclerosis, Biomedicines, European Heart Journal, Journal of Biological Chemistry and Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids.
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.