Eva Cukerman
Impact in
- Developmental Neuroscience top 5%
- Anesthesia and Neurotoxicity Research
-
- Cardiac Ischemia and Reperfusion
Papers in
-
- RNA and protein synthesis mechanisms 6
- RNA modifications and cancer 6
- Congenital heart defects research 3
- RNA Research and Splicing 3
- Surgery 6
- Co-authors
- Sara Arab (4 shared papers)Peter P. Liu (4 shared papers)Choong‐Chin Liew (11 shared papers)Andrew N. Redington (3 shared papers)Igor E. Konstantinov (3 shared papers)John G. Coles (3 shared papers)Michael M.H. Cheung (2 shared papers)Rajesh Kharbanda (1 shared paper)
In The Last Decade
Eva Cukerman
27 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 74
- Developmental Neuroscience 157
- Pathology and Forensic Medicine 353
- Emergency Medicine 117
- Cardiology and Cardiovascular Medicine 170
- Hematology 87
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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 272 | |
| 2 | 2002 | 153 | |
| 3 | 1997 | 143 | |
| 4 | 2005 | 101 | |
| 5 | 2006 | 100 | |
| 6 | 1994 | 88 | |
| 7 | 1995 | 39 | |
| 8 | 2007 | 29 | |
| 9 | 1998 | 18 | |
| 10 | 1987 | 14 | |
| 11 | 1994 | 13 | |
| 12 | 1997 | 12 | |
| 13 | 1981 | 10 | |
| 14 | 1985 | 6 | |
| 15 | 1986 | 4 | |
| 16 | 1985 | 3 | |
| 17 | 1983 | 3 | |
| 18 | 1996 | 3 | |
| 19 | 1996 | 2 | |
| 20 | 1997 | 2 |
About Eva Cukerman
Eva Cukerman is a scholar working on Molecular Biology, Surgery, Physiology, Pathology and Forensic Medicine and Endocrinology, Diabetes and Metabolism, having authored 28 papers that have together received 1.0k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (6 papers), RNA modifications and cancer (6 papers), Diet and metabolism studies (5 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Congenital heart defects research (3 papers), Genomic variations and chromosomal abnormalities (3 papers), Cardiac Ischemia and Reperfusion (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Developmental Neuroscience (157 citations), Pathology and Forensic Medicine (353 citations), Emergency Medicine (117 citations), Cardiology and Cardiovascular Medicine (170 citations) and Hematology (87 citations). Eva Cukerman has collaborated with scholars based in Canada, Hong Kong and China. Frequent co-authors include Sara Arab, Peter P. Liu, Choong‐Chin Liew, Andrew N. Redington, Igor E. Konstantinov, John G. Coles, Michael M.H. Cheung, Rajesh Kharbanda, Gregory P. Downey and Jia Li. Their work appears in journals such as Canadian Journal of Physiology and Pharmacology, Journal of Molecular and Cellular Cardiology, Proceedings of the National Academy of Sciences, Journal of Thoracic and Cardiovascular Surgery and Experimental Biology and Medicine.
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.