Natalia Pawlas

2.0k total citations
83 papers, 1.2k citations indexed

About

Natalia Pawlas is a scholar working on Health, Toxicology and Mutagenesis, Nutrition and Dietetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Natalia Pawlas has authored 83 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Health, Toxicology and Mutagenesis, 16 papers in Nutrition and Dietetics and 13 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Natalia Pawlas's work include Heavy Metal Exposure and Toxicity (29 papers), Trace Elements in Health (15 papers) and Air Quality and Health Impacts (10 papers). Natalia Pawlas is often cited by papers focused on Heavy Metal Exposure and Toxicity (29 papers), Trace Elements in Health (15 papers) and Air Quality and Health Impacts (10 papers). Natalia Pawlas collaborates with scholars based in Poland, Sweden and Switzerland. Natalia Pawlas's co-authors include Sławomir Kasperczyk, Grzegorz K. Jakubiak, Michał Dobrakowski, Aleksandra Kasperczyk, Tadeusz Osadnik, Mateusz Lejawa, Kamila Osadnik, Agnieszka Kozłowska, Krystyna Pawlas and Grzegorz Cieślar and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Natalia Pawlas

77 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Natalia Pawlas Poland 22 512 253 192 130 123 83 1.2k
Xiulou Li China 20 405 0.8× 337 1.3× 96 0.5× 66 0.5× 137 1.1× 35 1.2k
Eman M. Alissa Saudi Arabia 17 319 0.6× 385 1.5× 168 0.9× 71 0.5× 112 0.9× 51 1.3k
Leandro Ceotto Freitas‐Lima Brazil 19 355 0.7× 131 0.5× 159 0.8× 63 0.5× 76 0.6× 43 1.1k
Xiaomin Nie China 19 372 0.7× 198 0.8× 106 0.6× 90 0.7× 86 0.7× 48 1.1k
Juan Carlos Martı́n-Escudero Spain 24 421 0.8× 309 1.2× 175 0.9× 159 1.2× 127 1.0× 104 1.6k
Halit Demir Türkiye 21 318 0.6× 370 1.5× 98 0.5× 129 1.0× 87 0.7× 81 1.3k
Hilmi Demirin Türkiye 17 272 0.5× 283 1.1× 125 0.7× 89 0.7× 51 0.4× 38 1.1k
Chenjiang Ying China 25 604 1.2× 127 0.5× 316 1.6× 80 0.6× 91 0.7× 60 1.8k
Ângela M. Moro Brazil 25 724 1.4× 309 1.2× 172 0.9× 56 0.4× 135 1.1× 46 1.9k
Maria Wennberg Sweden 23 654 1.3× 265 1.0× 286 1.5× 44 0.3× 122 1.0× 48 1.6k

Countries citing papers authored by Natalia Pawlas

Since Specialization
Citations

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

Fields of papers citing papers by Natalia Pawlas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalia Pawlas

This figure shows the co-authorship network connecting the top 25 collaborators of Natalia Pawlas. A scholar is included among the top collaborators of Natalia Pawlas 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 Natalia Pawlas. Natalia Pawlas 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
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Jakubiak, Grzegorz K., Natalia Pawlas, Mateusz Lejawa, et al.. (2025). Relationship of Thyroid Volume and Function with Carotid and Femoral Intima-Media Thickness in Euthyroid People Aged 18–65 Taking into Account the Impact of Diabetes, Hypertension, and Excess Body Mass. Journal of Clinical Medicine. 14(2). 604–604. 3 indexed citations
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Banach, Maciej, Anna Goc, Mateusz Lejawa, et al.. (2024). Telomere length across the spectrum of metabolic health – an analysis from the LIPIDOGEN2015 study. Archives of Medical Science. 21(4). 1213–1221.
5.
Lejawa, Mateusz, Tadeusz Osadnik, Francesco Paneni, et al.. (2024). Causal associations between insulin and Lp(a) levels in Caucasian population: a Mendelian randomization study. Cardiovascular Diabetology. 23(1). 316–316. 8 indexed citations
6.
Celiński, Rafał, et al.. (2024). Comparative analysis of post-mortem drug concentrations in cerebrospinal fluid and blood. Forensic Science Medicine and Pathology. 21(1). 23–32.
7.
Jakubiak, Grzegorz K., et al.. (2021). “Obesity and Insulin Resistance” Is the Component of the Metabolic Syndrome Most Strongly Associated with Oxidative Stress. Antioxidants. 11(1). 79–79. 74 indexed citations
8.
Skowronek, Rafał, et al.. (2021). Cerebrospinal fluid in forensic toxicology: Current status and future perspectives. Journal of Forensic and Legal Medicine. 82. 102231–102231. 5 indexed citations
9.
Morze, Jakub, Tadeusz Osadnik, Kamila Osadnik, et al.. (2020). Comparative effect of nutraceuticals on lipid profile: a protocol for systematic review and network meta-analysis. BMJ Open. 10(8). e032755–e032755. 8 indexed citations
10.
Gać, Paweł, Natalia Pawlas, Małgorzata Poręba, et al.. (2020). Total antioxidant status reduction conditioned by a serum selenium concentration decrease as a mechanism of the ultrasonographically measured brachial artery dilatation impairment in patients with arterial hypertension. Environmental Toxicology and Pharmacology. 75. 103332–103332. 5 indexed citations
11.
Morze, Jakub, Tadeusz Osadnik, Kamila Osadnik, et al.. (2019). Abstract 13360: A Network Meta-Analysis on the Comparative Efficacy of Nutraceuticals on Lipid Profile. Circulation. 1 indexed citations
12.
Delijewski, Marcin, et al.. (2019). Genetically determined metabolism of nicotine and its clinical significance. Acta Biochimica Polonica. 66(4). 375–381. 4 indexed citations
13.
Machoń‐Grecka, Anna, et al.. (2018). Rola wybranych nawyków żywieniowych i higienicznych w środowiskowym narażeniu dzieci na ołów. 21(4). 31–38. 2 indexed citations
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Lejawa, Mateusz, et al.. (2018). Vitamin D and Carotid Intima Media Thickness:\nA valuable association or another one-hit wonder?. SHILAP Revista de lepidopterología. 1 indexed citations
16.
Kozłowska, Agnieszka, Agnieszka Mikołajczyk, & Natalia Pawlas. (2015). Telomere Length – a New Biomarker in Medicine. 18(4). 7–13. 1 indexed citations
17.
Prokopowicz, Adam, et al.. (2014). Blood Levels of Lead, Cadmium, and Mercury in Healthy Women in their 50s in an Urban Area of Poland: A Pilot Study. Polish Journal of Environmental Studies. 23(1). 9 indexed citations
18.
Pawlas, Krystyna, et al.. (2013). Przegląd kryteriów oceny infradźwięków i hałasu niskoczęstotliwościowego w środowisku zawodowym i pozazawodowym. 16(16). 82–89. 2 indexed citations
19.
Pawlas, Krystyna, et al.. (2013). Infrasound and low frequency noise assessment at workplaces and environment – review of criteria. SHILAP Revista de lepidopterología.
20.
Kapka‐Skrzypczak, Lucyna, et al.. (2009). [Air quality vs. morbidity to lung cancer in selected provinces and localities of the Silesian region].. PubMed. 63(3). 437–42. 3 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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