Marek Niemiałtowski
- Immunology top 10%
- Epidemiology top 10%
- Genetics
- Molecular Biology
- Virology top 5%
- Co-authors
- Barry T. RouseS. P. TargowskiLidia Szulc‐DąbrowskaMałgorzata KrzyżowskaA. WinnickaA. SchollenbergerMałgorzata GieryńskaFelix N. Toka
- Topics
- Virus-based gene therapy research (17 papers)Poxvirus research and outbreaks (15 papers)Herpesvirus Infections and Treatments (13 papers)
- Cited by
- VirologyImmunologyEpidemiology
- Partner nations
- PolandUnited StatesSaint Kitts and Nevis
In The Last Decade
Marek Niemiałtowski
57 papers receiving 657 citations
Peers
Comparison fields: 5 of 84
- Immunology 340
- Epidemiology 321
- Genetics 128
- Molecular Biology 116
- Virology 112
Countries citing papers authored by Marek Niemiałtowski
This map shows the geographic impact of Marek Niemiałtowski'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 Marek Niemiałtowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marek Niemiałtowski more than expected).
Fields of papers citing papers by Marek Niemiałtowski
This network shows the impact of papers produced by Marek Niemiałtowski. 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 Marek Niemiałtowski. The network helps show where Marek Niemiałtowski may publish in the future.
Co-authorship network of co-authors of Marek Niemiałtowski
This figure shows the co-authorship network connecting the top 25 collaborators of Marek Niemiałtowski. A scholar is included among the top collaborators of Marek Niemiałtowski 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 Marek Niemiałtowski. Marek Niemiałtowski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 18 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | Inhibition of mitochondrial pathway of apoptosis by poxvirus proteins. | 2 |
| 6 | 8 | |
| 7 | 19 | |
| 8 | 6 | |
| 9 | Immunobiology of NK cells. | 0 |
| 10 | 4 | |
| 11 | Membrane bridges and their role in the spread of ectromelia virus in vitro. | 1 |
| 12 | 11 | |
| 13 | 15 | |
| 14 | Experimental immunology Hsp-27, hsp-70 and hsp-90 expression and apoptosis in macrophages during ectromelia (mousepox) virus infection | 4 |
| 15 | Ectromelia virus persistence revisited: virus detection by in situ PCR after long-term infection of BALB/c mice | 1 |
| 16 | 14 | |
| 17 | 11 | |
| 18 | 5 | |
| 19 | 7 | |
| 20 | 8 |
About Marek Niemiałtowski
Marek Niemiałtowski is a scholar working on Virology, Animal Science and Zoology and Immunology, having authored 58 papers that have together received 696 indexed citations. Recurring topics across this work include Virus-based gene therapy research (17 papers), Poxvirus research and outbreaks (15 papers) and Herpesvirus Infections and Treatments (13 papers). The work is most often cited by research in Virology (112 citations), Immunology (340 citations) and Epidemiology (321 citations). Marek Niemiałtowski has collaborated with scholars based in Poland, United States and Saint Kitts and Nevis. Frequent co-authors include Barry T. Rouse, S. P. Targowski, Lidia Szulc‐Dąbrowska, Małgorzata Krzyżowska, A. Winnicka, A. Schollenberger, Małgorzata Gieryńska, Felix N. Toka, Karolina P. Gregorczyk-Zboroch and Zbigniew Wyżewski. Their work appears in journals such as The Journal of Immunology, PLoS ONE and Infection and Immunity.
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.