Paweł Burchardt

3.0k total citations
86 papers, 798 citations indexed

About

Paweł Burchardt is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Paweł Burchardt has authored 86 papers receiving a total of 798 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cardiology and Cardiovascular Medicine, 24 papers in Surgery and 19 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Paweł Burchardt's work include Lipoproteins and Cardiovascular Health (11 papers), Antiplatelet Therapy and Cardiovascular Diseases (9 papers) and Diabetes Treatment and Management (9 papers). Paweł Burchardt is often cited by papers focused on Lipoproteins and Cardiovascular Health (11 papers), Antiplatelet Therapy and Cardiovascular Diseases (9 papers) and Diabetes Treatment and Management (9 papers). Paweł Burchardt collaborates with scholars based in Poland, United States and Germany. Paweł Burchardt's co-authors include Janusz Rzeźniczak, Jarosław Hiczkiewicz, Konrad Pieszko, Jan Budzianowski, Marta Karaźniewicz‐Łada, Franciszek K. Główka, Dorota Danielak, Łukasz Kruszyna, Anna Komosa and Maciej Lesiak and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and Scientific Reports.

In The Last Decade

Paweł Burchardt

76 papers receiving 764 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paweł Burchardt Poland 16 320 176 151 107 106 86 798
Yuyin Liu United States 18 576 1.8× 378 2.1× 202 1.3× 87 0.8× 134 1.3× 67 1.2k
Michael V. Holmes United Kingdom 16 389 1.2× 361 2.1× 255 1.7× 59 0.6× 61 0.6× 25 1.2k
Alan Jones United Kingdom 17 320 1.0× 239 1.4× 272 1.8× 71 0.7× 68 0.6× 36 928
H.-H. Neumayer Germany 18 223 0.7× 286 1.6× 63 0.4× 74 0.7× 204 1.9× 43 1.3k
Christof Geisen Germany 21 218 0.7× 133 0.8× 243 1.6× 49 0.5× 47 0.4× 71 1.4k
Tadeusz Osadnik Poland 21 489 1.5× 360 2.0× 133 0.9× 230 2.1× 108 1.0× 71 1.2k
Ying‐Fu Chen Taiwan 12 161 0.5× 230 1.3× 188 1.2× 102 1.0× 193 1.8× 41 851
Jae Yeong Cho South Korea 18 624 1.9× 207 1.2× 57 0.4× 72 0.7× 129 1.2× 95 1.0k
C Kluft Netherlands 14 257 0.8× 225 1.3× 210 1.4× 34 0.3× 101 1.0× 26 1.0k

Countries citing papers authored by Paweł Burchardt

Since Specialization
Citations

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

Fields of papers citing papers by Paweł Burchardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paweł Burchardt

This figure shows the co-authorship network connecting the top 25 collaborators of Paweł Burchardt. A scholar is included among the top collaborators of Paweł Burchardt 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 Paweł Burchardt. Paweł Burchardt 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.
Burchardt, Paweł, et al.. (2025). Umbrella trials as a novel concept of cancer clinical trials — a systematic review. Oncology in Clinical Practice. 22(0).
2.
Abouzid, Mohamed, Paweł Burchardt, Leonid Kagan, Franciszek K. Główka, & Marta Karaźniewicz‐Łada. (2024). Associations between vitamin D status, VDR gene polymorphisms and echocardiographic markers in Polish patients with cardiovascular disease. Future Cardiology. 20(3). 123–135. 1 indexed citations
3.
Kaczmarek‐Majer, Katarzyna, et al.. (2024). Attention as the dimension that deteriorates first in patients with cognitive impairment after myocardial infarction. European Heart Journal. 45(Supplement_1).
4.
Budzianowski, Jan, et al.. (2023). Prediction of late atrial fibrillation recurrence after catheter ablation using machine learning. European Heart Journal. 44(Supplement_2).
5.
Rzeźniczak, Janusz, et al.. (2022). COGNITIVE IMPAIRMENT AFTER MYOCARDIAL INFARCTION. Journal of the American College of Cardiology. 79(9). 979–979. 4 indexed citations
6.
7.
Rzeźniczak, Janusz, et al.. (2021). A Review of Acute Coronary Syndrome and its Potential Impact on Cognitive Function. Global Heart. 16(1). 53–53. 8 indexed citations
8.
Jędrzejczak, Piotr, et al.. (2021). Strategies and results of oncofertility counseling in young breast cancer patients. SHILAP Revista de lepidopterología. 71(5). 263–266. 1 indexed citations
9.
Budzianowski, Jan, Jarosław Hiczkiewicz, Paweł Burchardt, et al.. (2018). Predictors of atrial fibrillation early recurrence following cryoballoon ablation of pulmonary veins using statistical assessment and machine learning algorithms. Heart and Vessels. 34(2). 352–359. 31 indexed citations
10.
Danielak, Dorota, Marta Karaźniewicz‐Łada, Anna Komosa, et al.. (2017). Influence of genetic co-factors on the population pharmacokinetic model for clopidogrel and its active thiol metabolite. European Journal of Clinical Pharmacology. 73(12). 1623–1632. 21 indexed citations
11.
Burchardt, Paweł, Agnieszka Zawada, Henryk Wysocki, et al.. (2016). Association between adjunctive metformin therapy in young type 1 diabetes patients with excess body fat and reduction of carotid intima–media thickness. Polskie Archiwum Medycyny Wewnętrznej. 126(7-8). 514–520. 16 indexed citations
12.
Żurawski, Jakub, et al.. (2016). The presence of thin glomerular basement membranes in various glomerulopathies. Ultrastructural Pathology. 40(2). 77–82. 1 indexed citations
13.
Żurawski, Jakub, et al.. (2016). Difficulties in differentiating thin basement membrane disease from Alport syndrome. Polish Journal of Pathology. 4(4). 357–363. 2 indexed citations
14.
Karaźniewicz‐Łada, Marta, Dorota Danielak, Paweł Burchardt, & Franciszek K. Główka. (2014). The influence of diabetic status on the pharmacokinetics of clopidogrel and its metabolites in patients suffered from cardiovascular diseases. SHILAP Revista de lepidopterología. 83(3). 215–221. 1 indexed citations
15.
Łuczak, Michał W., et al.. (2006). Monogenic hypercholesterolaemias--an evaluation of apolipoprotein B100 and LDL receptor gene polymorphisms.. PubMed. 64(2). 127–33; discussion 134. 5 indexed citations
16.
Klosterhalfen, H, et al.. (1978). [The bilateral nephrectomy in terminal renal disease (author's transl)].. PubMed. 17(3). 155–9. 1 indexed citations
17.
Burchardt, Paweł & Hartwig Huland. (1978). Renal Calculus Dissolution in Immobilized Patients. European Urology. 4(6). 420–423. 1 indexed citations
18.
Burchardt, Paweł, et al.. (1975). Treatment of cystinuria with Thiola (alpha-mercaptopropionyl glycine).. PubMed. 1(5). 227–8. 26 indexed citations
19.
Kastendieck, H., E. Alten�hr, & Paweł Burchardt. (1975). Zur Ultrastruktur des behandelten Prostatacarcinoms. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 366(4). 287–304. 5 indexed citations
20.
Kastendieck, H., E Altenähr, & Paweł Burchardt. (1973). [Electron-microscope studies on differentiation of cells in prostatic carcinomas (author's transl)].. PubMed. 361(3). 241–56. 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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