Robert Olszewski

1.9k total citations · 1 hit paper
96 papers, 1.3k citations indexed

About

Robert Olszewski is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Nuclear and High Energy Physics. According to data from OpenAlex, Robert Olszewski has authored 96 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Cardiology and Cardiovascular Medicine, 16 papers in Surgery and 15 papers in Nuclear and High Energy Physics. Recurrent topics in Robert Olszewski's work include Quantum Chromodynamics and Particle Interactions (14 papers), Cardiovascular Health and Disease Prevention (14 papers) and Nuclear physics research studies (13 papers). Robert Olszewski is often cited by papers focused on Quantum Chromodynamics and Particle Interactions (14 papers), Cardiovascular Health and Disease Prevention (14 papers) and Nuclear physics research studies (13 papers). Robert Olszewski collaborates with scholars based in Poland, Germany and Canada. Robert Olszewski's co-authors include Jacek Rysz, Beata Franczyk, Anna Gluba-Brzózka, Aleksandra Ciałkowska-Rysz, Janusz Ławiński, Barbara Wróblewska, John M. Neale, Tomasz Bzdega, Andrzej Kwiatkowski and Małgorzata Mańczak and has published in prestigious journals such as Physical Review Letters, International Journal of Molecular Sciences and Physics Letters B.

In The Last Decade

Robert Olszewski

84 papers receiving 1.2k citations

Hit Papers

The Impact of CKD on Uremic Toxins and Gut Microbiota 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert Olszewski Poland 20 240 235 217 200 179 96 1.3k
Arne Åsberg Norway 22 256 1.1× 114 0.5× 131 0.6× 366 1.8× 165 0.9× 93 2.1k
John Danziger United States 22 376 1.6× 135 0.6× 95 0.4× 240 1.2× 516 2.9× 64 1.8k
Ján Weis Sweden 19 96 0.4× 166 0.7× 128 0.6× 76 0.4× 73 0.4× 91 1.2k
B. Thomsen Denmark 22 213 0.9× 113 0.5× 152 0.7× 57 0.3× 108 0.6× 66 1.7k
Christoffer Laustsen Denmark 27 153 0.6× 227 1.0× 138 0.6× 137 0.7× 113 0.6× 168 2.3k
Richard P. Schwarz Austria 21 369 1.5× 369 1.6× 43 0.2× 665 3.3× 180 1.0× 68 1.8k
Shan Zhang China 27 172 0.7× 589 2.5× 48 0.2× 168 0.8× 48 0.3× 175 2.2k
E. Proctor United Kingdom 22 453 1.9× 297 1.3× 164 0.8× 96 0.5× 38 0.2× 82 1.8k
Glen Morrell United States 21 155 0.6× 118 0.5× 40 0.2× 86 0.4× 129 0.7× 49 1.5k
Hideki Kawaguchi Japan 15 78 0.3× 122 0.5× 58 0.3× 129 0.6× 261 1.5× 106 1.1k

Countries citing papers authored by Robert Olszewski

Since Specialization
Citations

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

Fields of papers citing papers by Robert Olszewski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Olszewski

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Olszewski. A scholar is included among the top collaborators of Robert Olszewski 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 Robert Olszewski. Robert Olszewski 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.
Gluba-Brzózka, Anna, Robert Olszewski, Beata Franczyk, et al.. (2025). High-density lipoproteins. Part 2. Impact of disease states on functionality. American Journal of Preventive Cardiology. 23. 101073–101073. 2 indexed citations
2.
Olszewski, Robert, et al.. (2024). Assessing the response quality and readability of chatbots in cardiovascular health, oncology, and psoriasis: A comparative study. International Journal of Medical Informatics. 190. 105562–105562. 12 indexed citations
3.
Mańczak, Małgorzata, et al.. (2023). Is the association between pulse wave velocity and bone mineral density the same for men and women? - A systematic review and meta-analysis. Archives of Gerontology and Geriatrics. 119. 105309–105309. 2 indexed citations
4.
Pruc, Michał, Mansur Rahnama, Tomasz Targowski, et al.. (2023). The Impact of COVID-19 on Carotid–Femoral Pulse Wave Velocity: A Systematic Review and Meta-Analysis. Journal of Clinical Medicine. 12(17). 5747–5747. 7 indexed citations
6.
Nowicki, Andrzej, et al.. (2022). Comparison of the radial and brachial artery flow-mediated dilation in patients with hypertension. Advances in Clinical and Experimental Medicine. 31(3). 231–240. 2 indexed citations
7.
Mańczak, Małgorzata, et al.. (2021). Burnout, well-being and self-reported medical errors among physicians. Polskie Archiwum Medycyny Wewnętrznej. 131(7-8). 626–632. 23 indexed citations
8.
Franczyk, Beata, et al.. (2021). miRNA biomarkers in renal disease. International Urology and Nephrology. 54(3). 575–588. 28 indexed citations
9.
Buda, Natalia, Wojciech Kosiak, Marcin Wełnicki, et al.. (2020). Recommendations for Lung Ultrasound in Internal Medicine. Diagnostics. 10(8). 597–597. 45 indexed citations
10.
Olszewski, Robert, et al.. (2019). P4342How burnout affects errors among physicians: meta-analysis. European Heart Journal. 40(Supplement_1). 3 indexed citations
11.
Kowalewski, Piotr, Robert Olszewski, Maciej Wałędziak, et al.. (2017). Long-Term Outcomes of Laparoscopic Sleeve Gastrectomy—a Single-Center, Retrospective Study. Obesity Surgery. 28(1). 130–134. 71 indexed citations
12.
Wójcik, Janusz, et al.. (2013). Dynamic ultrasonic model of left ventricle. Hydroacoustics. 16. 1 indexed citations
13.
Ryczek, Robert, et al.. (2005). Czy obniżenie odcinka ST w czasie częstoskurczu nadkomorowego wskazuje na niedokrwienie serca. Via Medica Journals. 12(1). 71–76. 1 indexed citations
14.
Neale, John M., et al.. (2005). The neurotransmitter N-acetylaspartylglutamate in models of pain, ALS, diabetic neuropathy, CNS injury and schizophrenia. Trends in Pharmacological Sciences. 26(9). 477–84. 107 indexed citations
15.
Rosochacki, S. J., et al.. (2001). Expression of GFP in microinjected bovine embryos. Animal Science Papers and Reports. 19(3). 2 indexed citations
16.
Gil, M.V., et al.. (2000). [Fibrinogen serum levels in patients with stable coronary artery disease and acute coronary syndrome].. PubMed. 9(50). 531–2. 1 indexed citations
17.
Olszewski, Robert, et al.. (1998). Excitation of carbon monoxide by electron impact in the 8–17 eV energy range. Chemical Physics Letters. 297(5-6). 537–542. 12 indexed citations
18.
Lange, Aleksandra, Przemysław Palka, Lynn Fenn, et al.. (1997). Doppler myocardial imaging vs. B-mode grey-scale imaging: A comparative in vitro and in vivo study into their relative efficacy in endocardial boundary detection. Ultrasound in Medicine & Biology. 23(1). 69–75. 17 indexed citations
19.
Grion, N., R. Rui, F. M. Rozon, et al.. (1987). Measurement of the16O(π+,π+π) &=280 MeV. Physical Review Letters. 59(10). 1080–1083. 14 indexed citations
20.
Olszewski, Robert, A. Hofmann, H.W. Ortner, et al.. (1986). Test of theΔ-Hole Model through the Energy Dependence of (π,πγ) Angular Correlations onC12. Physical Review Letters. 57(17). 2143–2146. 8 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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