Anna Lutyńska

976 total citations
53 papers, 351 citations indexed

About

Anna Lutyńska is a scholar working on Epidemiology, Microbiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Anna Lutyńska has authored 53 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Epidemiology, 15 papers in Microbiology and 13 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Anna Lutyńska's work include Bacterial Infections and Vaccines (14 papers), Infective Endocarditis Diagnosis and Management (9 papers) and Pneumonia and Respiratory Infections (8 papers). Anna Lutyńska is often cited by papers focused on Bacterial Infections and Vaccines (14 papers), Infective Endocarditis Diagnosis and Management (9 papers) and Pneumonia and Respiratory Infections (8 papers). Anna Lutyńska collaborates with scholars based in Poland, United States and France. Anna Lutyńska's co-authors include Ewa Mosiej, Jussi Mertsola, Norman K. Fry, Ewa Augustynowicz, Qiushui He, Kirsi Gröndahl‐Yli‐Hannuksela, Teemu Kallonen, Lucjan Witkowski, Iwona Sadowska-Krawczenko and Mateusz Śpiewak and has published in prestigious journals such as International Journal of Molecular Sciences, Journal of Clinical Microbiology and European Heart Journal.

In The Last Decade

Anna Lutyńska

47 papers receiving 341 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Lutyńska Poland 11 154 148 59 58 50 53 351
Yining He China 11 152 1.0× 78 0.5× 95 1.6× 12 0.2× 88 1.8× 36 352
Emel Sen-Kilic United States 12 131 0.9× 139 0.9× 59 1.0× 11 0.2× 75 1.5× 26 323
Nikolaos Mavrogiorgos United States 8 109 0.7× 81 0.5× 125 2.1× 52 0.9× 118 2.4× 17 388
Hongmei Liu China 14 187 1.2× 13 0.1× 76 1.3× 43 0.7× 67 1.3× 33 398
Beate Weber Germany 7 195 1.3× 89 0.6× 51 0.9× 6 0.1× 104 2.1× 8 429
A.-M. Van den Abeele Belgium 11 229 1.5× 86 0.6× 80 1.4× 7 0.1× 45 0.9× 15 364
Hongren Wang China 12 96 0.6× 23 0.2× 89 1.5× 14 0.2× 95 1.9× 26 339
Emma Parker Miller United States 5 318 2.1× 321 2.2× 75 1.3× 9 0.2× 46 0.9× 6 456
Laura M. Breshears United States 7 75 0.5× 97 0.7× 128 2.2× 5 0.1× 128 2.6× 10 306
Raydel Mair United States 6 225 1.5× 187 1.3× 35 0.6× 4 0.1× 66 1.3× 7 337

Countries citing papers authored by Anna Lutyńska

Since Specialization
Citations

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

Fields of papers citing papers by Anna Lutyńska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Lutyńska

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Lutyńska. A scholar is included among the top collaborators of Anna Lutyńska 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 Anna Lutyńska. Anna Lutyńska 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.
Zdanowski, Robert, et al.. (2024). Markers of Dermal Fibroblast Subpopulations for Viable Cell Isolation via Cell Sorting: A Comprehensive Review. Cells. 13(14). 1206–1206. 4 indexed citations
2.
Strapagiel, Dominik, Jarosław Dziadek, Marcin Olszewski, et al.. (2024). The whole genome sequence of Polish vaccine strain Mycobacterium bovis BCG Moreau. Microbiology Spectrum. 12(7). e0425923–e0425923.
3.
Zdanowski, Robert, et al.. (2024). Surface Molecular Markers for the Isolation of Viable Fibroblast Subpopulations in the Female Reproductive Tract: A Comprehensive Review. International Journal of Molecular Sciences. 26(1). 233–233.
4.
Lutyńska, Anna, et al.. (2023). Role of the ABCA4 Gene Expression in the Clearance of Toxic Vitamin A Derivatives in Human Hair Follicle Stem Cells and Keratinocytes. International Journal of Molecular Sciences. 24(9). 8275–8275. 1 indexed citations
5.
Rywik, Tomasz M., et al.. (2023). L-arginine and Its Derivatives Correlate with Exercise Capacity in Patients with Advanced Heart Failure. Biomolecules. 13(3). 423–423. 5 indexed citations
6.
Podgórska, Anna, et al.. (2022). The First Case of Granulicatella adiacens Identified from a Resected Heart Valve by Next Generation Sequencing (NGS) in Poland. Pathogens. 11(3). 295–295. 2 indexed citations
7.
8.
Kowalik, Ewa, et al.. (2022). NT-proBNP is superior to novel plasma biomarkers for predicting adverse outcome in arrhythmogenic right ventricular cardiomyopathy. European Heart Journal. 43(Supplement_2). 2 indexed citations
9.
Biernacka, Elżbieta Katarzyna, Maria Franaszczyk, Małgorzata Szperl, et al.. (2021). Pathogenic variants in plakophilin-2 gene (PKP2) are associated with better survival in arrhythmogenic right ventricular cardiomyopathy. Journal of Applied Genetics. 62(4). 613–620. 12 indexed citations
10.
Kowalik, Ewa, Anna Klisiewicz, Anna Lutyńska, et al.. (2020). Galectin-3 Plasma Levels in Adult Congenital Heart Disease and the Pressure Overloaded Right Ventricle: Reason Matters. Biomarkers in Medicine. 14(13). 1197–1205. 5 indexed citations
11.
Wojciechowska, Anna, et al.. (2019). microRNA expression profile in Smooth Muscle Cells isolated from thoracic aortic aneurysm samples. Advances in Medical Sciences. 64(2). 331–337. 2 indexed citations
12.
Augustynowicz, Ewa, et al.. (2017). The safety and effectiveness of vaccination against influenza and pertussis in pregnant women. PubMed. 71(1). 55–67. 1 indexed citations
13.
Mosiej, Ewa, et al.. (2017). Multi-locus variable-number tandem repeat analysis of Bordetella pertussis isolates circulating in Poland in the period 1959–2013. Journal of Medical Microbiology. 66(6). 753–761. 7 indexed citations
14.
Mosiej, Ewa, et al.. (2014). Effectiveness of experimental whole-cell pertussis vaccines in murine model.. PubMed. 66(2). 79–87. 1 indexed citations
15.
Augustynowicz, Ewa, et al.. (2013). [The studies of elimination of nontypeable Haemophilus influenzae strains using the animal model of infection].. PubMed. 65(1). 1–10. 1 indexed citations
16.
Paradowska‐Stankiewicz, Iwona, et al.. (2012). The rate of adverse events following BCG vaccination in Poland.. PubMed. 66(3). 465–9. 8 indexed citations
17.
Kallonen, Teemu, Kirsi Gröndahl‐Yli‐Hannuksela, Anna Lutyńska, et al.. (2011). Differences in the genomic content of Bordetella pertussis isolates before and after introduction of pertussis vaccines in four European countries. Infection Genetics and Evolution. 11(8). 2034–2042. 37 indexed citations
18.
Lutyńska, Anna, et al.. (2011). [Immunization of adolescents and adults as the strategy of improvement of epidemiology of pertussis].. PubMed. 65(1). 45–50. 1 indexed citations
19.
20.
Mosiej, Ewa, et al.. (2011). Strain Variation among Bordetella pertussis Isolates Circulating in Poland after 50 Years of Whole-Cell Pertussis Vaccine Use. Journal of Clinical Microbiology. 49(4). 1452–1457. 16 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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