Ewa Laskowska
Impact in
- Endocrinology top 2%
- Vibrio bacteria research studies
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
Papers in
-
- Heat shock proteins research 16
- Protein Structure and Dynamics 13
- Bacterial biofilms and quorum sensing 4
- Cell Biology 12
- Endoplasmic Reticulum Stress and Disease 11
- Co-authors
- Dorota Kuczyńska‐Wiśnik (30 shared papers)Alina Taylor (7 shared papers)Ewelina Matuszewska (12 shared papers)Alicja Wawrzynów (1 shared paper)Joanna Skórko‐Glonek (2 shared papers)Barbara Lipińska (7 shared papers)Łukasz Jarosz (6 shared papers)Zbigniew Grądzki (6 shared papers)
- Journals
- Microbiology (5 papers)Molecules (3 papers)Molecular Microbiology (3 papers)Microbiological Research (2 papers)Research in Veterinary Science (2 papers)
- Partner nations
- PolandFranceUnited Kingdom
In The Last Decade
Ewa Laskowska
43 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 121
- Endocrinology 225
- Molecular Medicine 182
- Aging 23
- Molecular Biology 895
- Genetics 304
Countries citing papers authored by Ewa Laskowska
This map shows the geographic impact of Ewa Laskowska'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 Ewa Laskowska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ewa Laskowska more than expected).
Fields of papers citing papers by Ewa Laskowska
This network shows the impact of papers produced by Ewa Laskowska. 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 Ewa Laskowska. The network helps show where Ewa Laskowska may publish in the future.
Co-authors
The 25 scholars most cited alongside Ewa Laskowska, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 129 | |
| 2 | 1996 | 125 | |
| 3 | 2005 | 87 | |
| 4 | 2002 | 87 | |
| 5 | 2013 | 71 | |
| 6 | 2010 | 66 | |
| 7 | 2020 | 60 | |
| 8 | 2008 | 54 | |
| 9 | 2009 | 49 | |
| 10 | 2021 | 46 | |
| 11 | 2019 | 44 | |
| 12 | 1991 | 41 | |
| 13 | 2010 | 39 | |
| 14 | 2018 | 38 | |
| 15 | 2007 | 37 | |
| 16 | 2008 | 30 | |
| 17 | 2018 | 30 | |
| 18 | 2014 | 29 | |
| 19 | 2001 | 28 | |
| 20 | 2004 | 25 |
About Ewa Laskowska
Ewa Laskowska is a scholar working on Molecular Biology, Cell Biology, Materials Chemistry, Endocrinology and Genetics, having authored 46 papers that have together received 1.4k indexed citations. Recurring topics across this work include Heat shock proteins research (16 papers), Protein Structure and Dynamics (13 papers), Endoplasmic Reticulum Stress and Disease (11 papers), Enzyme Structure and Function (10 papers), Bacterial Genetics and Biotechnology (7 papers), Bacterial biofilms and quorum sensing (4 papers), Bacteriophages and microbial interactions (4 papers) and Escherichia coli research studies (4 papers). The work is most often cited by research in Endocrinology (225 citations), Molecular Medicine (182 citations), Aging (23 citations), Molecular Biology (895 citations) and Genetics (304 citations). Ewa Laskowska has collaborated with scholars based in Poland, France and United Kingdom. Frequent co-authors include Dorota Kuczyńska‐Wiśnik, Alina Taylor, Ewelina Matuszewska, Alicja Wawrzynów, Joanna Skórko‐Glonek, Barbara Lipińska, Łukasz Jarosz, Zbigniew Grądzki, Beata Furmanek-Blaszk and J Kwiatkowska. Their work appears in journals such as Microbiology, Molecules, Molecular Microbiology, Microbiological Research and Research in Veterinary Science.
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.