Lidia Szulc‐Dąbrowska
- Co-authors
- Felix N. TokaMarek NiemiałtowskiKarolina P. Gregorczyk-ZborochIwona PasternakMałgorzata GieryńskaMichał SkibniewskiZbigniew WyżewskiA. Winnicka
- Topics
- Virus-based gene therapy research (20 papers)Poxvirus research and outbreaks (16 papers)Immunotherapy and Immune Responses (11 papers)
- Cited by
- VirologyImmunologyEpidemiology
- Partner nations
- PolandSaint Kitts and NevisCzechia
In The Last Decade
Lidia Szulc‐Dąbrowska
54 papers receiving 518 citations
Peers
Comparison fields: 5 of 91
- Immunology 143
- Molecular Biology 136
- Epidemiology 115
- Biomedical Engineering 103
- Virology 88
Countries citing papers authored by Lidia Szulc‐Dąbrowska
This map shows the geographic impact of Lidia Szulc‐Dąbrowska'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 Lidia Szulc‐Dąbrowska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lidia Szulc‐Dąbrowska more than expected).
Fields of papers citing papers by Lidia Szulc‐Dąbrowska
This network shows the impact of papers produced by Lidia Szulc‐Dąbrowska. 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 Lidia Szulc‐Dąbrowska. The network helps show where Lidia Szulc‐Dąbrowska may publish in the future.
Co-authorship network of co-authors of Lidia Szulc‐Dąbrowska
This figure shows the co-authorship network connecting the top 25 collaborators of Lidia Szulc‐Dąbrowska. A scholar is included among the top collaborators of Lidia Szulc‐Dąbrowska based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lidia Szulc‐Dąbrowska. Lidia Szulc‐Dąbrowska is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 12 | |
| 3 | 4 | |
| 4 | 10 | |
| 5 | 0 | |
| 6 | 46 | |
| 7 | 9 | |
| 8 | 6 | |
| 9 | 6 | |
| 10 | 3 | |
| 11 | 15 | |
| 12 | 18 | |
| 13 | 8 | |
| 14 | Inhibition of mitochondrial pathway of apoptosis by poxvirus proteins. | 2 |
| 15 | 8 | |
| 16 | 19 | |
| 17 | 6 | |
| 18 | Immunobiology of NK cells. | 0 |
| 19 | 4 | |
| 20 | Membrane bridges and their role in the spread of ectromelia virus in vitro. | 1 |
About Lidia Szulc‐Dąbrowska
Lidia Szulc‐Dąbrowska is a scholar working on Virology, Immunology and Genetics, having authored 57 papers that have together received 521 indexed citations. Recurring topics across this work include Virus-based gene therapy research (20 papers), Poxvirus research and outbreaks (16 papers) and Immunotherapy and Immune Responses (11 papers). The work is most often cited by research in Virology (88 citations), Immunology (143 citations) and Epidemiology (115 citations). Lidia Szulc‐Dąbrowska has collaborated with scholars based in Poland, Saint Kitts and Nevis and Czechia. Frequent co-authors include Felix N. Toka, Marek Niemiałtowski, Karolina P. Gregorczyk-Zboroch, Iwona Pasternak, Małgorzata Gieryńska, Michał Skibniewski, Zbigniew Wyżewski, A. Winnicka, Joanna Szczepanowska and Paweł Kowalczyk. Their work appears in journals such as PLoS ONE, The FASEB Journal and International Journal of Molecular Sciences.
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.