Rafał Nikodem Wlazeł

619 total citations
24 papers, 485 citations indexed

About

Rafał Nikodem Wlazeł is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine and Hematology. According to data from OpenAlex, Rafał Nikodem Wlazeł has authored 24 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 6 papers in Cardiology and Cardiovascular Medicine and 6 papers in Hematology. Recurrent topics in Rafał Nikodem Wlazeł's work include Adipokines, Inflammation, and Metabolic Diseases (9 papers), Blood Coagulation and Thrombosis Mechanisms (6 papers) and Protease and Inhibitor Mechanisms (6 papers). Rafał Nikodem Wlazeł is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (9 papers), Blood Coagulation and Thrombosis Mechanisms (6 papers) and Protease and Inhibitor Mechanisms (6 papers). Rafał Nikodem Wlazeł collaborates with scholars based in Poland, Italy and United States. Rafał Nikodem Wlazeł's co-authors include Marek Paradowski, Jacek Rysz, Mariusz Stȩpień, Maciej Banach, Anna Stępień, Małgorzata Misztal, Manfredi Rizzo, Lucjan Pawlicki, Marzenna Zielińska and Tomasz Kostka and has published in prestigious journals such as Scientific Reports, Atherosclerosis and Applied Sciences.

In The Last Decade

Rafał Nikodem Wlazeł

23 papers receiving 470 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rafał Nikodem Wlazeł Poland 11 174 122 119 86 83 24 485
Nearmeen M. Rashad Egypt 12 97 0.6× 70 0.6× 59 0.5× 41 0.5× 86 1.0× 30 397
Jiunn‐Diann Lin Taiwan 15 145 0.8× 77 0.6× 63 0.5× 46 0.5× 142 1.7× 68 590
Eun Shil Hong South Korea 12 271 1.6× 104 0.9× 203 1.7× 208 2.4× 173 2.1× 22 770
Jesper Bäckdahl Sweden 12 299 1.7× 193 1.6× 421 3.5× 62 0.7× 191 2.3× 16 675
Deborah K. Oh United States 6 218 1.3× 57 0.5× 165 1.4× 32 0.4× 95 1.1× 11 456
Jiandong Zhang China 14 60 0.3× 156 1.3× 83 0.7× 134 1.6× 132 1.6× 22 651
Sylvia Handler Austria 16 83 0.5× 172 1.4× 68 0.6× 56 0.7× 57 0.7× 23 655
Danuta Lipińska Poland 13 57 0.3× 51 0.4× 136 1.1× 72 0.8× 98 1.2× 30 456
Yiting Xu China 17 202 1.2× 123 1.0× 152 1.3× 24 0.3× 221 2.7× 69 752
A. Staccini‐Myx France 4 298 1.7× 72 0.6× 141 1.2× 27 0.3× 38 0.5× 5 722

Countries citing papers authored by Rafał Nikodem Wlazeł

Since Specialization
Citations

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

Fields of papers citing papers by Rafał Nikodem Wlazeł

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rafał Nikodem Wlazeł. 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 Rafał Nikodem Wlazeł. The network helps show where Rafał Nikodem Wlazeł may publish in the future.

Co-authorship network of co-authors of Rafał Nikodem Wlazeł

This figure shows the co-authorship network connecting the top 25 collaborators of Rafał Nikodem Wlazeł. A scholar is included among the top collaborators of Rafał Nikodem Wlazeł 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 Rafał Nikodem Wlazeł. Rafał Nikodem Wlazeł 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.
Kostka, Tomasz, et al.. (2023). Dietary Zinc Is Associated with Cardiac Function in the Older Adult Population. Antioxidants. 12(2). 265–265. 4 indexed citations
2.
Wlazeł, Rafał Nikodem, et al.. (2023). Soluble Urokinase-Type Plasminogen Activator Receptor (suPAR) Is a Biomarker Associated with Left Ventricular Hypertrophy in the Elderly, Specifically in Women. Journal of Clinical Medicine. 12(9). 3290–3290. 4 indexed citations
3.
Jankowska-Kulawy, Agnieszka, Sylwia Kołtan, Olga Martyna Koper‐Lenkiewicz, et al.. (2022). Standardization of information in laboratory diagnostics.Proposal of the Polish Society of Laboratory Diagnostics. 58(1). 21–30. 1 indexed citations
4.
Nowak, Piotr, Małgorzata Wągrowska‐Danilewicz, Marian Danilewicz, et al.. (2021). Glucocorticoids Induce Partial Remission of Focal Segmental Glomerulosclerosis but Not Interstitial Nephritis in COVID-19 Acute Kidney Injury in an APOL1 Low-Risk Genotype White Patient. American Journal of Case Reports. 22. e933462–e933462. 2 indexed citations
5.
Kozakiewicz, Marcin & Rafał Nikodem Wlazeł. (2021). Does Soluble Urokinase-Type Plasminogen Activator Receptor Level Predicts the Occurrence of Inflammatory Complications in Maxillofacial Surgery?. Applied Sciences. 11(5). 2192–2192. 3 indexed citations
6.
Wlazeł, Rafał Nikodem, et al.. (2020). Soluble urokinase plasminogen activator receptor level in individuals of advanced age. Scientific Reports. 10(1). 15462–15462. 14 indexed citations
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Wlazeł, Rafał Nikodem, et al.. (2018). Clinical and prognostic usefulness of soluble urokinase plasminogen activator receptor in hemodialysis patients. International Urology and Nephrology. 50(2). 339–345. 15 indexed citations
9.
Wlazeł, Rafał Nikodem, et al.. (2017). Serum metalloproteinase-2 and tissue inhibitor of metalloproteinase-2 in lung carcinoma patients. Journal of Thoracic Disease. 9(12). 5306–5313. 5 indexed citations
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Stȩpień, Mariusz, Anna Stępień, Rafał Nikodem Wlazeł, et al.. (2014). Obesity indices and inflammatory markers in obese non-diabetic normo- and hypertensive patients: a comparative pilot study. Lipids in Health and Disease. 13(1). 29–29. 107 indexed citations
13.
Stȩpień, Mariusz, Agnieszka Stępień, Rafał Nikodem Wlazeł, et al.. (2014). Obesity indices and inflammatory markers in obese non-diabetic normo- And hypertensive patients. a comparative pilot study. Atherosclerosis. 235(2). e136–e137. 7 indexed citations
14.
Wlazeł, Rafał Nikodem, et al.. (2013). The association between galectin-3 and occurrence of reinfarction early after first myocardial infarction treated invasively. Biomarkers. 18(8). 655–659. 17 indexed citations
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Wlazeł, Rafał Nikodem, Jacek Rysz, & Marek Paradowski. (2013). Examination of serum pregnancy-associated plasma protein A clinical value in acute coronary syndrome prediction and monitoring. Archives of Medical Science. 1(1). 14–20. 5 indexed citations
17.
Stȩpień, Mariusz, Anna Stępień, Maciej Banach, et al.. (2013). New Obesity Indices and Adipokines in Normotensive Patients and Patients With Hypertension. Angiology. 65(4). 333–342. 35 indexed citations
18.
Stȩpień, Mariusz, Anna Stępień, Rafał Nikodem Wlazeł, et al.. (2013). Obesity indices and adipokines in non-diabetic obese patients with early stages of chronic kidney disease. Medical Science Monitor. 19. 1063–1072. 39 indexed citations
19.
Stȩpień, Mariusz, Rafał Nikodem Wlazeł, Marek Paradowski, et al.. (2012). Serum concentrations of adiponectin, leptin, resistin, ghrelin and insulin and their association with obesity indices in obese normo- and hypertensive patients – pilot study. Archives of Medical Science. 3. 431–436. 55 indexed citations
20.
Stępień, Anna, Mariusz Stȩpień, Rafał Nikodem Wlazeł, Marek Paradowski, & Jacek Rysz. (2012). New indices of visceral adiposity and its correlation with hs-CRP in patients with obesity. 52. 7 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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