Małgorzata Gieryńska
- Virology top 5%
- Poxvirus research and outbreaks 17
- Immunology top 10%
- Immunotherapy and Immune Responses 22
- interferon and immune responses 6
- Immune Response and Inflammation 5
- T-cell and B-cell Immunology 4
- Endocrinology top 5%
- Epidemiology top 10%
- Herpesvirus Infections and Treatments 16
- Microbiology top 10%
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- Virus-based gene therapy research 20
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- Animal Virus Infections Studies 8
- Co-authors
- Barry T. RouseFelix N. TokaSeong Kug EoMagdalena RzewuskaIlona StefańskaDorota Chrobak‐ChmielDennis M. KlinmanMagdalena Kizerwetter‐Świda
- Cited by
- VirologyImmunologyEndocrinology
- Journals
- Proceedings of the National Academy of Sciences (1 paper)The Journal of Immunology (1 paper)PLoS ONE (1 paper)
- Partner nations
- PolandSaint Kitts and NevisUnited States
In The Last Decade
Małgorzata Gieryńska
47 papers receiving 719 citations
Peers
Comparison fields: 5 of 77
- Virology 145
- Immunology 359
- Endocrinology 86
- Epidemiology 287
- Microbiology 41
Countries citing papers authored by Małgorzata Gieryńska
This map shows the geographic impact of Małgorzata Gieryńska'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 Małgorzata Gieryńska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Małgorzata Gieryńska more than expected).
Fields of papers citing papers by Małgorzata Gieryńska
This network shows the impact of papers produced by Małgorzata Gieryńska. 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 Małgorzata Gieryńska. The network helps show where Małgorzata Gieryńska may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Małgorzata Gieryńska, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 4 | |
| 2 | 2023 | 10 | |
| 3 | 2023 | 1 | |
| 4 | 2019 | 127 | |
| 5 | 2019 | 9 | |
| 6 | 2019 | 12 | |
| 7 | 2018 | 6 | |
| 8 | 2018 | 3 | |
| 9 | 2017 | 18 | |
| 10 | 2017 | 14 | |
| 11 | 2012 | 4 | |
| 12 | 2011 | 0 | |
| 13 | Ectromelia virus persistence revisited: virus detection by in situ PCR after long-term infection of BALB/c mice | 2006 | 1 |
| 14 | 2004 | 21 | |
| 15 | 2003 | 36 | |
| 16 | 2001 | 85 | |
| 17 | 2001 | 11 | |
| 18 | 2000 | 5 | |
| 19 | 1996 | 7 | |
| 20 | 1990 | 8 |
About Małgorzata Gieryńska
Małgorzata Gieryńska is a scholar working on Virology, Immunology and Animal Science and Zoology, having authored 48 papers that have together received 749 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (22 papers), Virus-based gene therapy research (20 papers), Poxvirus research and outbreaks (17 papers), Herpesvirus Infections and Treatments (16 papers), Animal Virus Infections Studies (8 papers), interferon and immune responses (6 papers), Immune Response and Inflammation (5 papers) and T-cell and B-cell Immunology (4 papers). The work is most often cited by research in Virology (145 citations), Immunology (359 citations) and Endocrinology (86 citations). Małgorzata Gieryńska has collaborated with scholars based in Poland, Saint Kitts and Nevis and United States. Frequent co-authors include Barry T. Rouse, Felix N. Toka, Seong Kug Eo, Magdalena Rzewuska, Ilona Stefańska, Dorota Chrobak‐Chmiel, Dennis M. Klinman, Magdalena Kizerwetter‐Świda, Mei Zheng and Ewelina Kwiecień. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and PLoS ONE.
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.