Thomas C. Dembinski
- Co-authors
- Robert P. C. ShiuD. DubikKan‐Zhi LiuHenry H. MantschRaymond A. ShawF.K. HabibS. R. StitchDavid Mymin
- Topics
- Neonatal Respiratory Health Research (5 papers)Lipoproteins and Cardiovascular Health (4 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Thomas C. Dembinski
26 papers receiving 666 citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 326
- Genetics 152
- Oncology 146
- Biophysics 120
- Endocrinology, Diabetes and Metabolism 94
Countries citing papers authored by Thomas C. Dembinski
This map shows the geographic impact of Thomas C. Dembinski'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 Thomas C. Dembinski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas C. Dembinski more than expected).
Fields of papers citing papers by Thomas C. Dembinski
This network shows the impact of papers produced by Thomas C. Dembinski. 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 Thomas C. Dembinski. The network helps show where Thomas C. Dembinski may publish in the future.
Co-authorship network of co-authors of Thomas C. Dembinski
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas C. Dembinski. A scholar is included among the top collaborators of Thomas C. Dembinski based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thomas C. Dembinski. Thomas C. Dembinski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 18 | |
| 5 | 91 | |
| 6 | 12 | |
| 7 | 27 | |
| 8 | 8 | |
| 9 | 9 | |
| 10 | 10 | |
| 11 | 5 | |
| 12 | Polymorphism and peripheral levels of apolipoprotein(a) in polygenic hypercholesterolemia and combined hyperlipidemia. | 7 |
| 13 | 58 | |
| 14 | 1 | |
| 15 | 20 | |
| 16 | 5 | |
| 17 | Evidence for a novel pituitary factor that potentiates the mitogenic effect of estrogen in human breast cancer cells. | 36 |
| 18 | 8 | |
| 19 | 1 | |
| 20 | 71 |
About Thomas C. Dembinski
Thomas C. Dembinski is a scholar working on Biophysics, Endocrinology, Diabetes and Metabolism and Cancer Research, having authored 27 papers that have together received 695 indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (5 papers), Lipoproteins and Cardiovascular Health (4 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers). The work is most often cited by research in Biophysics (120 citations), Analytical Chemistry (79 citations) and Biochemistry (36 citations). Thomas C. Dembinski has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Robert P. C. Shiu, D. Dubik, Kan‐Zhi Liu, Henry H. Mantsch, Raymond A. Shaw, F.K. Habib, S. R. Stitch, David Mymin, Grant M. Hatch and Randall W. Yatscoff. Their work appears in journals such as FEBS Letters, American Journal of Obstetrics and Gynecology and Journal of Lipid Research.
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.