Mark J. Poznansky
- Cell Biology top 5%
- Molecular Biology top 10%
- Lipid Membrane Structure and Behavior 16
- Heme Oxygenase-1 and Carbon Monoxide 8
- Porphyrin Metabolism and Disorders 5
- Sphingolipid Metabolism and Signaling 4
- Biochemistry top 5%
- Physiology top 10%
- Erythrocyte Function and Pathophysiology 5
- Pharmaceutical Science top 5%
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- Neonatal Health and Biochemistry 6
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- Pancreatic function and diabetes 5
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- Monoclonal and Polyclonal Antibodies Research 4
- Co-authors
- Panakkezhum D. ThomasR. L. JulianoYvonne LangeThomas Ming Swi ChangA. K. SolomonGary D. LopaschukGuozhang MaoPhilip J. Davis
- Journals
- Biochimica et Biophysica Acta (BBA) - Biomembranes (7 papers)Biochemical Journal (5 papers)Pediatric Research (4 papers)
- Partner nations
- CanadaUnited StatesCzechia
In The Last Decade
Mark J. Poznansky
67 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 126
- Cell Biology 296
- Molecular Biology 1.2k
- Biochemistry 127
- Physiology 310
- Pharmaceutical Science 69
Countries citing papers authored by Mark J. Poznansky
This map shows the geographic impact of Mark J. Poznansky'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 Mark J. Poznansky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark J. Poznansky more than expected).
Fields of papers citing papers by Mark J. Poznansky
This network shows the impact of papers produced by Mark J. Poznansky. 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 Mark J. Poznansky. The network helps show where Mark J. Poznansky may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mark J. Poznansky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 12 | |
| 2 | 1995 | 72 | |
| 3 | 1994 | 34 | |
| 4 | 1993 | 34 | |
| 5 | 1992 | 26 | |
| 6 | 1992 | 54 | |
| 7 | 1992 | 53 | |
| 8 | 1990 | 1 | |
| 9 | 1990 | 12 | |
| 10 | 1990 | 13 | |
| 11 | 1990 | 35 | |
| 12 | 1989 | 13 | |
| 13 | 1989 | 31 | |
| 14 | 1989 | 11 | |
| 15 | 1985 | 1 | |
| 16 | 1984 | 22 | |
| 17 | 1979 | 7 | |
| 18 | 1976 | 45 | |
| 19 | Osmo regulation in human red cells | 1972 | 1 |
| 20 | 1968 | 139 |
About Mark J. Poznansky
Mark J. Poznansky is a scholar working on Biophysics, Physiology and Pharmaceutical Science, having authored 67 papers that have together received 2.2k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (16 papers), Heme Oxygenase-1 and Carbon Monoxide (8 papers), Neonatal Health and Biochemistry (6 papers), Porphyrin Metabolism and Disorders (5 papers), Erythrocyte Function and Pathophysiology (5 papers), Pancreatic function and diabetes (5 papers), Sphingolipid Metabolism and Signaling (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Cell Biology (296 citations), Molecular Biology (1.2k citations) and Biochemistry (127 citations). Mark J. Poznansky has collaborated with scholars based in Canada, United States and Czechia. Frequent co-authors include Panakkezhum D. Thomas, R. L. Juliano, Yvonne Lange, Thomas Ming Swi Chang, A. K. Solomon, Gary D. Lopaschuk, Guozhang Mao, Philip J. Davis, David Schiff and George Chan. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Biomembranes, Biochemical Journal, Pediatric Research, Journal of Biological Chemistry and Diabetes.
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.