V. Marešová

882 total citations
20 papers, 412 citations indexed

About

V. Marešová is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Toxicology. According to data from OpenAlex, V. Marešová has authored 20 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Cardiology and Cardiovascular Medicine and 4 papers in Toxicology. Recurrent topics in V. Marešová's work include Blood Pressure and Hypertension Studies (4 papers), Forensic Toxicology and Drug Analysis (4 papers) and Medication Adherence and Compliance (3 papers). V. Marešová is often cited by papers focused on Blood Pressure and Hypertension Studies (4 papers), Forensic Toxicology and Drug Analysis (4 papers) and Medication Adherence and Compliance (3 papers). V. Marešová collaborates with scholars based in Czechia, United States and United Kingdom. V. Marešová's co-authors include J Widimský, Branislav Štrauch, Robert Holaj, Zuzana Šomlóová, Ondřej Petrák, J. Rosa, Ivana Kurcová, Tomáš Zelinka, Dan Wichterle and Tomáš Indra and has published in prestigious journals such as Journal of Controlled Release, Hypertension and Clinical Microbiology and Infection.

In The Last Decade

V. Marešová

18 papers receiving 391 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V. Marešová Czechia 10 202 114 70 53 45 20 412
Andrew Y. Hwang United States 9 139 0.7× 28 0.2× 56 0.8× 27 0.5× 13 0.3× 20 348
Minyahil Alebachew Woldu Ethiopia 14 39 0.2× 62 0.5× 158 2.3× 87 1.6× 5 0.1× 39 471
A. Calderón Spain 8 137 0.7× 11 0.1× 85 1.2× 159 3.0× 41 0.9× 13 385
Vincent H Mabasa Canada 14 41 0.2× 12 0.1× 45 0.6× 114 2.2× 73 1.6× 27 603
Nicholas W. Carris United States 10 72 0.4× 14 0.1× 124 1.8× 26 0.5× 11 0.2× 37 287
Yaman Walid Kassab Malaysia 11 71 0.4× 47 0.4× 39 0.6× 32 0.6× 3 0.1× 34 350
Hadeel Alkofide Saudi Arabia 12 76 0.4× 43 0.4× 44 0.6× 40 0.8× 2 0.0× 50 449
Roland Radziwill Germany 12 108 0.5× 49 0.4× 19 0.3× 60 1.1× 2 0.0× 20 340
C. Wayne Weart United States 11 61 0.3× 14 0.1× 62 0.9× 44 0.8× 6 0.1× 28 338
Prem Kapur India 12 37 0.2× 19 0.2× 107 1.5× 87 1.6× 6 0.1× 47 403

Countries citing papers authored by V. Marešová

Since Specialization
Citations

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

Fields of papers citing papers by V. Marešová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Marešová

This figure shows the co-authorship network connecting the top 25 collaborators of V. Marešová. A scholar is included among the top collaborators of V. Marešová 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 V. Marešová. V. Marešová 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.
2.
Štrauch, Branislav, Ondřej Petrák, Robert Holaj, et al.. (2022). Adherence and blood pressure control in patients with primary aldosteronism. Blood Pressure. 31(1). 58–63. 3 indexed citations
3.
Trousil, Jiří, Oto Pavliš, Miša Škorič, et al.. (2020). Antitubercular nanocarrier monotherapy: Study of In Vivo efficacy and pharmacokinetics for rifampicin. Journal of Controlled Release. 321. 312–323. 29 indexed citations
4.
Hubáček, Jaroslav A., Ivana Kurcová, V. Marešová, et al.. (2019). SNPs within CHRNA5-A3-B4 and CYP2A6/B6, nicotine metabolite concentrations and nicotine dependence treatment success in smokers. Biomedical Papers. 165(1). 84–89. 3 indexed citations
5.
Šíma, Martin, et al.. (2017). Adherence with perindopril therapy: a pilot study using therapeutic drug monitoring of perindoprilat and an evaluation of the clearance estimation. International Journal of Clinical Pharmacy. 39(5). 1095–1100. 9 indexed citations
6.
Gupta, Pankaj, Prashanth Patel, Branislav Štrauch, et al.. (2017). Biochemical Screening for Nonadherence Is Associated With Blood Pressure Reduction and Improvement in Adherence. Hypertension. 70(5). 1042–1048. 114 indexed citations
7.
Vevera, Jan, et al.. (2014). Diazepam i. m. –  the Most Common, but Inappropriate Medication for Management of Acute Anxiety, Agitation and Aggression. Česká a slovenská neurologie a neurochirurgie. 77/110(6). 760–764. 1 indexed citations
8.
Štrauch, Branislav, Ondřej Petrák, Tomáš Zelinka, et al.. (2013). Precise assessment of noncompliance with the antihypertensive therapy in patients with resistant hypertension using toxicological serum analysis. Journal of Hypertension. 31(12). 2455–2461. 104 indexed citations
9.
Cvačka, Josef, V. Marešová, Branislav Štrauch, et al.. (2010). Development of a fast LC–MS/MS method for quantification of rilmenidine in human serum: elucidation of fragmentation pathways by HRMS. Journal of Mass Spectrometry. 45(10). 1179–1185. 6 indexed citations
10.
Štrauch, Branislav, Josef Cvačka, V. Marešová, et al.. (2010). Determination of doxazosin and verapamil in human serum by fast LC–MS/MS: Application to document non-compliance of patients. Journal of Chromatography B. 878(30). 3167–3173. 27 indexed citations
11.
Marešová, V., et al.. (2008). Screening and semiquantitative analysis of drugs and drugs of abuse in human serum samples using gas chromatography-mass spectrometry.. PubMed. 29(5). 749–54. 4 indexed citations
12.
Jindrák, Vlastimil, et al.. (2008). Improvements in antibiotic prescribing by community paediatricians in the Czech Republic. Eurosurveillance. 13(46). 9 indexed citations
13.
Kalmusová, J., et al.. (2006). Dynamics of PCR-based diagnosis in patients with invasive meningococcal disease. Clinical Microbiology and Infection. 12(2). 137–141. 44 indexed citations
14.
Marešová, V., et al.. (2006). Varicella and its complications: a five-year retrospective analysis of hospitalized patients. 8(3). 131–135. 2 indexed citations
15.
Marešová, V., et al.. (2006). Simultaneous determination of amphetamines and amphetamine-derived designer drugs in human urine by GC-MS.. PubMed. 27(1-2). 121–4. 10 indexed citations
16.
Džupová, Olga, et al.. (2005). Invasive meningococcal disease and latex agglutination test — Is it still beneficial for diagnosis?. Folia Microbiologica. 50(5). 453–6. 2 indexed citations
17.
Marešová, V., et al.. (2005). The Identification of a Chlorinated MDMA. Journal of Analytical Toxicology. 29(5). 353–358. 7 indexed citations
18.
Moravcová, Lenka, et al.. (2005). PCR in lyme neuroborreliosis: a prospective study. Acta Neurologica Scandinavica. 112(5). 287–292. 16 indexed citations
19.
Balı́ková, Marie, et al.. (2001). Evaluation of urinary dihydrocodeine excretion in human by gas chromatography–mass spectrometry. Journal of Chromatography B Biomedical Sciences and Applications. 752(1). 179–186. 16 indexed citations
20.
Balı́ková, Marie & V. Marešová. (1998). Fatal opiates overdose. Toxicological identification of various metabolites in a blood sample by GC–MS after silylation. Forensic Science International. 94(3). 201–209. 6 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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