Eva Cukerman
Impact in
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- Cardiac Ischemia and Reperfusion
- Pharmacology top 5%
- Apelin-related biomedical research
Papers in
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- Growth Hormone and Insulin-like Growth Factors 5
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- Proteoglycans and glycosaminoglycans research 4
- Co-authors
- Peter P. Liu (4 shared papers)Sara Arab (4 shared papers)Choong‐Chin Liew (11 shared papers)Andrew N. Redington (3 shared papers)John G. Coles (3 shared papers)Igor E. Konstantinov (3 shared papers)Michael M.H. Cheung (2 shared papers)Vera Cherepanov (1 shared paper)
In The Last Decade
Eva Cukerman
29 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 74
- Pathology and Forensic Medicine 319
- Pharmacology 179
- Cardiology and Cardiovascular Medicine 213
- Hematology 105
- Molecular Biology 317
Countries citing papers authored by Eva Cukerman
This map shows the geographic impact of Eva Cukerman'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 Eva Cukerman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Cukerman more than expected).
Fields of papers citing papers by Eva Cukerman
This network shows the impact of papers produced by Eva Cukerman. 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 Eva Cukerman. The network helps show where Eva Cukerman may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Cukerman, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 289 | |
| 2 | 2007 | 266 | |
| 3 | 2002 | 165 | |
| 4 | 1997 | 144 | |
| 5 | 2005 | 107 | |
| 6 | 2006 | 105 | |
| 7 | 1994 | 84 | |
| 8 | 1995 | 43 | |
| 9 | 2007 | 32 | |
| 10 | 1998 | 18 | |
| 11 | 1987 | 15 | |
| 12 | 1981 | 14 | |
| 13 | 1994 | 12 | |
| 14 | 1997 | 12 | |
| 15 | 1997 | 10 | |
| 16 | 1985 | 6 | |
| 17 | 1986 | 5 | |
| 18 | 1985 | 4 | |
| 19 | 1983 | 3 | |
| 20 | 1996 | 3 |
About Eva Cukerman
Eva Cukerman is a scholar working on Endocrinology, Diabetes and Metabolism, Cell Biology, Molecular Biology, Genetics and Pathology and Forensic Medicine, having authored 30 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (6 papers), Genomics and Phylogenetic Studies (5 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Proteoglycans and glycosaminoglycans research (4 papers), Genomic variations and chromosomal abnormalities (4 papers), Cardiac Ischemia and Reperfusion (3 papers), Genetic Associations and Epidemiology (3 papers) and Congenital heart defects research (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (319 citations), Pharmacology (179 citations), Cardiology and Cardiovascular Medicine (213 citations), Hematology (105 citations) and Molecular Biology (317 citations). Eva Cukerman has collaborated with scholars based in Canada, Hong Kong and China. Frequent co-authors include Peter P. Liu, Sara Arab, Choong‐Chin Liew, Andrew N. Redington, John G. Coles, Igor E. Konstantinov, Michael M.H. Cheung, Vera Cherepanov, Gregory Paul Downey and Jia Li. Their work appears in journals such as Canadian Journal of Physiology and Pharmacology, Molecular and Cellular Biochemistry, Journal of Thoracic and Cardiovascular Surgery, Proceedings of the National Academy of Sciences and Journal of Molecular and Cellular Cardiology.
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.