Marlies Dolezal

2.3k total citations
53 papers, 1.1k citations indexed

About

Marlies Dolezal is a scholar working on Genetics, Plant Science and Molecular Biology. According to data from OpenAlex, Marlies Dolezal has authored 53 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Genetics, 11 papers in Plant Science and 10 papers in Molecular Biology. Recurrent topics in Marlies Dolezal's work include Genetic and phenotypic traits in livestock (20 papers), Genetic Mapping and Diversity in Plants and Animals (15 papers) and Evolution and Genetic Dynamics (5 papers). Marlies Dolezal is often cited by papers focused on Genetic and phenotypic traits in livestock (20 papers), Genetic Mapping and Diversity in Plants and Animals (15 papers) and Evolution and Genetic Dynamics (5 papers). Marlies Dolezal collaborates with scholars based in Austria, Italy and Germany. Marlies Dolezal's co-authors include Christian Schlötterer, Viola Nolte, A. Bagnato, Christoph Winckler, Christine Brenninkmeyer, Ute Knierim, Jan Brinkmann, Solveig March, Sabine Dippel and Maria D. S. Nunes and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Scientific Reports.

In The Last Decade

Marlies Dolezal

50 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Marlies Dolezal Austria 17 624 269 202 179 164 53 1.1k
Valentina Riggio United Kingdom 20 845 1.4× 218 0.8× 214 1.1× 267 1.5× 262 1.6× 59 1.3k
Anna M. Johansson Sweden 20 590 0.9× 187 0.7× 124 0.6× 81 0.5× 270 1.6× 66 1.2k
Sofia Mikko Sweden 27 787 1.3× 311 1.2× 79 0.4× 91 0.5× 182 1.1× 54 1.7k
Allan M. Crawford New Zealand 16 746 1.2× 396 1.5× 188 0.9× 192 1.1× 112 0.7× 31 1.2k
Paola Crepaldi Italy 20 782 1.3× 265 1.0× 201 1.0× 52 0.3× 179 1.1× 90 1.2k
Javier Cañón Spain 23 1.6k 2.6× 311 1.2× 132 0.7× 105 0.6× 354 2.2× 98 2.0k
I. Fernández Spain 26 1.5k 2.5× 237 0.9× 143 0.7× 105 0.6× 285 1.7× 95 1.9k
J. Jordana Spain 25 1.5k 2.3× 271 1.0× 85 0.4× 123 0.7× 243 1.5× 105 1.9k
Florence Phocas France 25 1.3k 2.0× 104 0.4× 217 1.1× 258 1.4× 391 2.4× 92 1.7k
Mark Henryon Denmark 19 956 1.5× 96 0.4× 386 1.9× 101 0.6× 211 1.3× 52 1.4k

Countries citing papers authored by Marlies Dolezal

Since Specialization
Citations

This map shows the geographic impact of Marlies Dolezal'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 Marlies Dolezal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marlies Dolezal more than expected).

Fields of papers citing papers by Marlies Dolezal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marlies Dolezal. 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 Marlies Dolezal. The network helps show where Marlies Dolezal may publish in the future.

Co-authorship network of co-authors of Marlies Dolezal

This figure shows the co-authorship network connecting the top 25 collaborators of Marlies Dolezal. A scholar is included among the top collaborators of Marlies Dolezal 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 Marlies Dolezal. Marlies Dolezal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Witalisz‐Siepracka, Agnieszka, Michaela Prchal‐Murphy, David Martin, et al.. (2025). Cell-type-specific requirement for TYK2 in murine immune cells under steady state and challenged conditions. Cellular and Molecular Life Sciences. 82(1). 98–98.
2.
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Stadler, Maria, Marlies Dolezal, Sven Jäckel, et al.. (2024). Species comparison: human and minipig PBMC reactivity under the influence of immunomodulating compounds in vitro. Frontiers in Immunology. 14. 1327776–1327776. 4 indexed citations
4.
Nolte, Viola, et al.. (2023). The genomic distribution of transposable elements is driven by spatially variable purifying selection. Nucleic Acids Research. 51(17). 9203–9213. 6 indexed citations
5.
Sassu, Elena L., Kerstin H. Mair, Christian Knecht, et al.. (2022). Influence of PRRSV-1 vaccination and infection on mononuclear immune cells at the maternal-fetal interface. Frontiers in Immunology. 13. 1055048–1055048. 4 indexed citations
6.
Dolezal, Marlies, et al.. (2022). The transcriptome from asexual to sexual in vitro development of Cystoisospora suis (Apicomplexa: Coccidia). Scientific Reports. 12(1). 5972–5972. 9 indexed citations
7.
Nolte, Viola, et al.. (2021). Highly Parallel Genomic Selection Response in Replicated Drosophila melanogaster Populations with Reduced Genetic Variation. Genome Biology and Evolution. 13(11). 6 indexed citations
8.
Dolezal, Marlies, et al.. (2021). Fine Mapping without Phenotyping: Identification of Selection Targets in Secondary Evolve and Resequence Experiments. Genome Biology and Evolution. 13(8). 3 indexed citations
9.
Platanitis, Ekaterini, Michaela Prchal‐Murphy, Alexander Lercher, et al.. (2021). Listeria monocytogenes infection rewires host metabolism with regulatory input from type I interferons. PLoS Pathogens. 17(7). e1009697–e1009697. 9 indexed citations
10.
Stadler, Maria, Kerstin H. Mair, Christian Knecht, et al.. (2021). T-Cell Cytokine Response in Salmonella Typhimurium-Vaccinated versus Infected Pigs. Vaccines. 9(8). 845–845. 4 indexed citations
11.
Nolte, Viola, et al.. (2020). Secondary Evolve and Resequencing: An Experimental Confirmation of Putative Selection Targets without Phenotyping. Genome Biology and Evolution. 12(3). 151–159. 8 indexed citations
12.
Ribitsch, Iris, et al.. (2019). Co-culture of osteochondral explants and synovial membrane as in vitro model for osteoarthritis. PLoS ONE. 14(4). e0214709–e0214709. 64 indexed citations
13.
14.
Gray, Kent A., Christian Maltecca, A. Bagnato, et al.. (2012). Estimates of marker effects for measures of milk flow in the Italian brown Swiss dairy cattle population. BMC Veterinary Research. 8(1). 199–199. 6 indexed citations
15.
Luan, Tu, John Woolliams, Jørgen Ødegård, et al.. (2012). The importance of identity-by-state information for the accuracy of genomic selection. Genetics Selection Evolution. 44(1). 28–28. 33 indexed citations
16.
Dippel, Sabine, Marlies Dolezal, Christine Brenninkmeyer, et al.. (2009). Risk factors for lameness in cubicle housed Austrian Simmental dairy cows. Preventive Veterinary Medicine. 90(1-2). 102–112. 51 indexed citations
17.
Bagnato, A., F. Schiavini, A. Rossoni, et al.. (2008). Quantitative Trait Loci Affecting Milk Yield and Protein Percentage in a Three-Country Brown Swiss Population. Journal of Dairy Science. 91(2). 767–783. 65 indexed citations
18.
Lipkin, E., Elizabeth Ela, A. Friedmann, et al.. (2006). Linkage disequilibrium in four cattle populations.. Proceedings of the 8th World Congress on Genetics Applied to Livestock Production, Belo Horizonte, Minas Gerais, Brazil, 13-18 August, 2006. 1 indexed citations
19.
20.
Dolezal, Marlies, et al.. (1994). Prognostic value of beta human chorionic gonadotrophin in blood serum of patients with urinary bladder tumous. International Urology and Nephrology. 26(3). 301–306. 9 indexed citations

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.

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