Dean Gilham
Impact in
- Biochemistry top 1%
- Lipid metabolism and biosynthesis
Papers in
-
- Protein Degradation and Inhibitors 20
- Histone Deacetylase Inhibitors Research 5
- Peroxisome Proliferator-Activated Receptors 5
-
- Lipid metabolism and biosynthesis 9
- Co-authors
- Richard Lehner (9 shared papers)Dennis E. Vance (5 shared papers)Ewelina Kulikowski (24 shared papers)Norman C.W. Wong (19 shared papers)Michael Sweeney (18 shared papers)Sylwia Wasiak (21 shared papers)Laura Tsujikawa (20 shared papers)Christopher Halliday (11 shared papers)
- Journals
- Atherosclerosis (4 papers)Biomedicines (3 papers)Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids (2 papers)Journal of Biological Chemistry (2 papers)European Heart Journal (2 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Dean Gilham
38 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 93
- Biochemistry 296
- Endocrinology, Diabetes and Metabolism 208
- Molecular Biology 774
- Hematology 114
- Physiology 238
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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 173 | |
| 2 | 2007 | 134 | |
| 3 | 2003 | 103 | |
| 4 | 2004 | 102 | |
| 5 | 2008 | 96 | |
| 6 | 2019 | 90 | |
| 7 | 2016 | 88 | |
| 8 | 2007 | 74 | |
| 9 | 2004 | 68 | |
| 10 | 2018 | 49 | |
| 11 | 2017 | 48 | |
| 12 | 1998 | 46 | |
| 13 | 2017 | 43 | |
| 14 | 2007 | 35 | |
| 15 | 2017 | 32 | |
| 16 | 2003 | 31 | |
| 17 | 2021 | 21 | |
| 18 | 2004 | 20 | |
| 19 | 2005 | 20 | |
| 20 | 2012 | 20 |
About Dean Gilham
Dean Gilham is a scholar working on Molecular Biology, Biochemistry, Hematology, Oncology and Surgery, having authored 39 papers that have together received 1.4k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (20 papers), Lipid metabolism and biosynthesis (9 papers), Multiple Myeloma Research and Treatments (6 papers), Peptidase Inhibition and Analysis (6 papers), Histone Deacetylase Inhibitors Research (5 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Pancreatic function and diabetes (4 papers) and HIV Research and Treatment (4 papers). The work is most often cited by research in Biochemistry (296 citations), Endocrinology, Diabetes and Metabolism (208 citations), Molecular Biology (774 citations), Hematology (114 citations) and Physiology (238 citations). Dean Gilham has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Richard Lehner, Dennis E. Vance, Ewelina Kulikowski, Norman C.W. Wong, Michael Sweeney, Sylwia Wasiak, Laura Tsujikawa, Christopher Halliday, David Y. Hui and Vernon W. Dolinsky. Their work appears in journals such as Atherosclerosis, Biomedicines, Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids, Journal of Biological Chemistry and European Heart Journal.
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.