Eva Stefanski
Impact in
- Biochemistry top 5%
- Eicosanoids and Hypertension Pharmacology
- Pharmacology top 5%
- Inflammatory mediators and NSAID effects
Papers in
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- Protein Kinase Regulation and GTPase Signaling 7
-
- Inflammatory mediators and NSAID effects 4
- Healthcare and Venom Research 2
- Co-authors
- Peter Vadas (16 shared papers)W. Pruzanski (15 shared papers)Berit Sternby (2 shared papers)Norbert Degousée (7 shared papers)Barry B. Rubin (7 shared papers)Thomas F. Lindsay (6 shared papers)H. van den Bosch (3 shared papers)Brian P. Kennedy (3 shared papers)
- Journals
- Journal of Biological Chemistry (4 papers)Biochemical Pharmacology (2 papers)The Journal of Biochemistry (2 papers)Critical Care Medicine (2 papers)Journal of Lipid Research (1 paper)
- Partner nations
- CanadaUnited StatesSweden
In The Last Decade
Eva Stefanski
24 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 92
- Biochemistry 91
- Pharmacology 178
- Immunology 166
- Cancer Research 99
- Molecular Biology 476
Countries citing papers authored by Eva Stefanski
This map shows the geographic impact of Eva Stefanski'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 Stefanski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Stefanski more than expected).
Fields of papers citing papers by Eva Stefanski
This network shows the impact of papers produced by Eva Stefanski. 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 Stefanski. The network helps show where Eva Stefanski may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Stefanski, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 165 | |
| 2 | 1988 | 108 | |
| 3 | 1992 | 107 | |
| 4 | 2008 | 89 | |
| 5 | 1998 | 81 | |
| 6 | 1986 | 76 | |
| 7 | 1998 | 55 | |
| 8 | 1989 | 54 | |
| 9 | 1991 | 50 | |
| 10 | 1997 | 48 | |
| 11 | 1996 | 40 | |
| 12 | 2003 | 40 | |
| 13 | 2006 | 27 | |
| 14 | 1993 | 24 | |
| 15 | 2011 | 21 | |
| 16 | 1991 | 21 | |
| 17 | 2014 | 20 | |
| 18 | 1993 | 20 | |
| 19 | 1991 | 18 | |
| 20 | 2001 | 18 |
About Eva Stefanski
Eva Stefanski is a scholar working on Molecular Biology, Pharmacology, Oncology, Genetics and Immunology, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (7 papers), Venomous Animal Envenomation and Studies (5 papers), Inflammatory mediators and NSAID effects (4 papers), NF-κB Signaling Pathways (4 papers), Immune Response and Inflammation (4 papers), Drug Transport and Resistance Mechanisms (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Healthcare and Venom Research (2 papers). The work is most often cited by research in Biochemistry (91 citations), Pharmacology (178 citations), Immunology (166 citations), Cancer Research (99 citations) and Molecular Biology (476 citations). Eva Stefanski has collaborated with scholars based in Canada, United States and Sweden. Frequent co-authors include Peter Vadas, W. Pruzanski, Berit Sternby, Norbert Degousée, Barry B. Rubin, Thomas F. Lindsay, H. van den Bosch, Brian P. Kennedy, Robert A. Greenwald and Jay A. Tischfield. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Pharmacology, The Journal of Biochemistry, Critical Care Medicine 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.