Dorota Danielak

580 total citations
37 papers, 449 citations indexed

About

Dorota Danielak is a scholar working on Cardiology and Cardiovascular Medicine, Pharmaceutical Science and Surgery. According to data from OpenAlex, Dorota Danielak has authored 37 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cardiology and Cardiovascular Medicine, 12 papers in Pharmaceutical Science and 11 papers in Surgery. Recurrent topics in Dorota Danielak's work include Antiplatelet Therapy and Cardiovascular Diseases (15 papers), Drug Solubulity and Delivery Systems (12 papers) and Diabetes Treatment and Management (8 papers). Dorota Danielak is often cited by papers focused on Antiplatelet Therapy and Cardiovascular Diseases (15 papers), Drug Solubulity and Delivery Systems (12 papers) and Diabetes Treatment and Management (8 papers). Dorota Danielak collaborates with scholars based in Poland, Russia and United States. Dorota Danielak's co-authors include Franciszek K. Główka, Marta Karaźniewicz‐Łada, Paweł Burchardt, Anna Komosa, Maciej Lesiak, Łukasz Kruszyna, Artur Tężyk, Czesław Żaba, Gilles Tuffal and Grzegorz Garbacz and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Pharmaceutics and Drugs.

In The Last Decade

Dorota Danielak

37 papers receiving 436 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dorota Danielak Poland 12 252 120 100 99 54 37 449
Céline Ollier France 8 212 0.8× 78 0.7× 55 0.6× 59 0.6× 32 0.6× 10 394
Olivier Fedeli France 6 277 1.1× 84 0.7× 62 0.6× 114 1.2× 49 0.9× 13 452
B. Kaufmann Germany 14 247 1.0× 86 0.7× 56 0.6× 107 1.1× 95 1.8× 29 650
Stefan Blech Germany 6 450 1.8× 126 1.1× 163 1.6× 31 0.3× 25 0.5× 8 771
Elizabeth Hand United States 13 330 1.3× 140 1.2× 53 0.5× 65 0.7× 58 1.1× 15 663
Marina De Smet United States 17 188 0.7× 289 2.4× 232 2.3× 114 1.2× 95 1.8× 21 1.1k
Mitsutaka Kanamaru Japan 15 159 0.6× 53 0.4× 79 0.8× 187 1.9× 34 0.6× 44 698
SoJeong Yi South Korea 18 131 0.5× 68 0.6× 100 1.0× 88 0.9× 41 0.8× 45 705
Venkateswar Jarugula United States 15 273 1.1× 61 0.5× 149 1.5× 69 0.7× 31 0.6× 24 655
Hannah Lu United States 8 204 0.8× 31 0.3× 107 1.1× 37 0.4× 39 0.7× 9 441

Countries citing papers authored by Dorota Danielak

Since Specialization
Citations

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

Fields of papers citing papers by Dorota Danielak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dorota Danielak

This figure shows the co-authorship network connecting the top 25 collaborators of Dorota Danielak. A scholar is included among the top collaborators of Dorota Danielak 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 Dorota Danielak. Dorota Danielak 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
3.
Danielak, Dorota, et al.. (2024). Compare and PASS − Fast screening of oral dosage forms for bioequivalence probability with the COMPASS software. International Journal of Pharmaceutics. 670. 125123–125123. 1 indexed citations
5.
Giebułtowicz, Joanna, Roman Piotrowski, Anna Żuk, et al.. (2023). An extension of biorelevant fed-state dissolution tests to clinical pharmacokinetics – A study on gastrointestinal factors influencing rivaroxaban exposure and efficacy in atrial fibrillation patients. International Journal of Pharmaceutics. 649. 123626–123626. 4 indexed citations
7.
Garbacz, Grzegorz, et al.. (2023). PhysioCell — a Novel, Bio-relevant Dissolution Apparatus: Hydrodynamic Conditions and Factors Influencing the Dissolution Dynamics. AAPS PharmSciTech. 24(2). 65–65. 7 indexed citations
8.
Garbacz, Grzegorz, et al.. (2023). Application of a novel PhysioCell apparatus for biopredictive dissolution tests of oral immediate release formulations – A case study workflow for in vitro-in vivo predictions. International Journal of Pharmaceutics. 641. 123061–123061. 7 indexed citations
9.
Danielak, Dorota, et al.. (2023). Conjunction of semi-mechanistic in vitro-in vivo modeling and population pharmacokinetics as a tool for virtual bioequivalence analysis - a case study for a BCS class II drug. European Journal of Pharmaceutics and Biopharmaceutics. 186. 132–143. 7 indexed citations
10.
Danielak, Dorota, et al.. (2022). Influence of Genetic and Epigenetic Factors of P2Y12 Receptor on the Safety and Efficacy of Antiplatelet Drugs. Cardiovascular Drugs and Therapy. 38(3). 621–636. 5 indexed citations
11.
Danielak, Dorota. (2021). Vortioxetine in management of major depressive disorder – a favorable alternative for elderly patients?. Expert Opinion on Pharmacotherapy. 22(9). 1167–1177. 8 indexed citations
12.
Danielak, Dorota, et al.. (2020). Population pharmacokinetic approach for evaluation of treosulfan and its active monoepoxide disposition in plasma and brain on the basis of a rat model. Pharmacological Reports. 72(5). 1297–1309. 3 indexed citations
13.
Karaźniewicz‐Łada, Marta, et al.. (2020). Impact of genetic variants of selected cytochrome P450 isoenzymes on pharmacokinetics and pharmacodynamics of clopidogrel in patients co-treated with atorvastatin or rosuvastatin. European Journal of Clinical Pharmacology. 76(3). 419–430. 8 indexed citations
15.
Danielak, Dorota, et al.. (2020). A novel open source tool for ELISA result analysis. Journal of Pharmaceutical and Biomedical Analysis. 189. 113415–113415. 4 indexed citations
16.
Danielak, Dorota, Marta Karaźniewicz‐Łada, & Franciszek K. Główka. (2018). Assessment of the Risk of Rhabdomyolysis and Myopathy During Concomitant Treatment with Ticagrelor and Statins. Drugs. 78(11). 1105–1112. 32 indexed citations
17.
Danielak, Dorota, et al.. (2018). Development of an LC-MS/MS method for simultaneous determination of ticagrelor and its active metabolite during concomitant treatment with atorvastatin. Journal of Chromatography B. 1105. 113–119. 13 indexed citations
18.
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
19.
Danielak, Dorota, et al.. (2016). Impact of CYP3A4*1G Allele on Clinical Pharmacokinetics and Pharmacodynamics of Clopidogrel. European Journal of Drug Metabolism and Pharmacokinetics. 42(1). 99–107. 18 indexed citations
20.
Karaźniewicz‐Łada, Marta, Dorota Danielak, Paweł Burchardt, et al.. (2013). Clinical Pharmacokinetics of Clopidogrel and Its Metabolites in Patients with Cardiovascular Diseases. Clinical Pharmacokinetics. 53(2). 155–164. 74 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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