Naděžda Petejová

1.1k total citations · 1 hit paper
20 papers, 735 citations indexed

About

Naděžda Petejová is a scholar working on Nephrology, Surgery and Epidemiology. According to data from OpenAlex, Naděžda Petejová has authored 20 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Nephrology, 8 papers in Surgery and 7 papers in Epidemiology. Recurrent topics in Naděžda Petejová's work include Acute Kidney Injury Research (9 papers), Antibiotics Pharmacokinetics and Efficacy (6 papers) and Muscle and Compartmental Disorders (4 papers). Naděžda Petejová is often cited by papers focused on Acute Kidney Injury Research (9 papers), Antibiotics Pharmacokinetics and Efficacy (6 papers) and Muscle and Compartmental Disorders (4 papers). Naděžda Petejová collaborates with scholars based in Czechia, Slovakia and United States. Naděžda Petejová's co-authors include Arnošt Martínek, Josef Zadražil, Vladimı́r Teplan, Ivana Kacířová, Milan Grundmann, Karel Urbánek, Zdeněk Švagera, Marcela Káňová, David Stejskal and Hana Brozmanová and has published in prestigious journals such as International Journal of Molecular Sciences, Journal of the American Society of Nephrology and Critical Care.

In The Last Decade

Naděžda Petejová

19 papers receiving 712 citations

Hit Papers

Acute kidney injury due t... 2014 2026 2018 2022 2014 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Naděžda Petejová Czechia 10 286 213 185 155 91 20 735
Arnošt Martínek Czechia 15 399 1.4× 174 0.8× 190 1.0× 185 1.2× 188 2.1× 56 942
Chaker Ben Salem Tunisia 13 136 0.5× 158 0.7× 155 0.8× 139 0.9× 127 1.4× 71 839
María Marqués Spain 20 414 1.4× 127 0.6× 92 0.5× 85 0.5× 86 0.9× 59 1.0k
Neila Fathallah Tunisia 9 109 0.4× 138 0.6× 101 0.5× 93 0.6× 70 0.8× 54 608
Katerina Marathias Greece 17 166 0.6× 139 0.7× 167 0.9× 94 0.6× 51 0.6× 25 841
Chike Nzerue United States 14 102 0.4× 170 0.8× 163 0.9× 70 0.5× 42 0.5× 29 726
Silvia Ferrari Italy 14 241 0.8× 481 2.3× 154 0.8× 98 0.6× 85 0.9× 25 1.1k
Ewa Kwiatkowska Poland 17 152 0.5× 148 0.7× 121 0.7× 145 0.9× 97 1.1× 91 897
Bo Shen China 17 244 0.9× 366 1.7× 85 0.5× 149 1.0× 166 1.8× 64 880
Fotios Barkas Greece 20 336 1.2× 82 0.4× 171 0.9× 139 0.9× 115 1.3× 100 1.0k

Countries citing papers authored by Naděžda Petejová

Since Specialization
Citations

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

Fields of papers citing papers by Naděžda Petejová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naděžda Petejová

This figure shows the co-authorship network connecting the top 25 collaborators of Naděžda Petejová. A scholar is included among the top collaborators of Naděžda Petejová 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 Naděžda Petejová. Naděžda Petejová 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.
Petejová, Naděžda, et al.. (2024). Prediction of Akute Kidney Injury Development in Critically Ill Septic Patients Based on NGAL Determination. Physiological Research. 73(6). 1001–1011. 1 indexed citations
2.
Petejová, Naděžda, et al.. (2024). Acute kidney injury due to gentamicin nephrotoxicity and specific miRNAs as biomarkers. Biomedical Papers. 169(1). 1–8. 1 indexed citations
3.
Petejová, Naděžda, Vladimı́r Teplan, Arnošt Martínek, & Josef Zadražil. (2024). Acute kidney injury in critically ill patients and intestinal dysbiosis. 78(5). 431–439.
4.
Dobiáš, Radim, Marcela Káňová, Naděžda Petejová, et al.. (2022). Combined Use of Presepsin and (1,3)-β-D-glucan as Biomarkers for Diagnosing Candida Sepsis and Monitoring the Effectiveness of Treatment in Critically Ill Patients. Journal of Fungi. 8(3). 308–308. 6 indexed citations
5.
Petejová, Naděžda, Arnošt Martínek, Josef Zadražil, et al.. (2022). Expression and 7-day time course of circulating microRNAs in septic patients treated with nephrotoxic antibiotic agents. BMC Nephrology. 23(1). 111–111. 9 indexed citations
6.
Zachová, Kateřina, Petr Kosztyu, Kazuo Takahashi, et al.. (2022). Galactose-Deficient IgA1 B cells in the Circulation of IgA Nephropathy Patients Carry Preferentially Lambda Light Chains and Mucosal Homing Receptors. Journal of the American Society of Nephrology. 33(5). 908–917. 46 indexed citations
7.
Petejová, Naděžda, Arnošt Martínek, Josef Zadražil, et al.. (2020). Acute Kidney Injury in Septic Patients Treated by Selected Nephrotoxic Antibiotic Agents—Pathophysiology and Biomarkers—A Review. International Journal of Molecular Sciences. 21(19). 7115–7115. 58 indexed citations
8.
Sklienka, Peter, Jan Máca, Filip Burša, et al.. (2020). Physiologic risk factors for early acute kidney injury in severely injured patients. Bratislavské lekárske listy/Bratislava medical journal. 121(11). 779–785. 5 indexed citations
9.
Petejová, Naděžda, Arnošt Martínek, Josef Zadražil, & Vladimı́r Teplan. (2019). Acute toxic kidney injury. Renal Failure. 41(1). 576–594. 60 indexed citations
10.
Petejová, Naděžda & Arnošt Martínek. (2015). Renal cell carcinoma: Review of etiology, pathophysiology and risk factors. Biomedical Papers. 160(2). 183–194. 116 indexed citations
11.
Petejová, Naděžda & Arnošt Martínek. (2014). Acute kidney injury due to rhabdomyolysis and renal replacement therapy: a critical review. Critical Care. 18(3). 224–224. 287 indexed citations breakdown →
12.
Petejová, Naděžda & Arnošt Martínek. (2013). Acute kidney injury following acute pancreatitis: A review. Biomedical Papers. 157(2). 105–113. 61 indexed citations
14.
Petejová, Naděžda, Arnošt Martínek, Hana Brozmanová, et al.. (2012). Vancomycin removal during low-flux and high-flux extended daily hemodialysis in critically ill septic patients. Biomedical Papers. 156(4). 342–347. 33 indexed citations
15.
Petejová, Naděžda, Ivana Kacířová, Hana Brozmanová, et al.. (2012). Gentamicin pharmacokinetics during continuous venovenous hemofiltration in critically ill septic patients. Journal of Chemotherapy. 24(2). 107–112. 10 indexed citations
16.
Petejová, Naděžda, Arnošt Martínek, Karel Urbánek, et al.. (2012). Vancomycin pharmacokinetics during high-volume continuous venovenous hemofiltration in critically ill septic patients. Biomedical Papers. 158(1). 65–72. 20 indexed citations
17.
Tvrdík, Josef, et al.. (2012). [Bone mineral density in patients with chronic renal failure at the start of haemodialysis therapy].. PubMed. 58(11). 817–24. 1 indexed citations
18.
Petejová, Naděžda, et al.. (2011). Dávkování vankomycinu při kontinuální náhradě funkce ledvin. 25(3). 116–121. 3 indexed citations
19.
Plášek, Jiří, Jana Fürstová, Tomáš Fürst, et al.. (2011). The role of adrenomedullin and galanin in recurrent vasovagal syncope: a case control study. Biomedical Papers. 157(2). 162–167. 4 indexed citations
20.
Plášek, Jiří, et al.. (2011). [Primary hepatic carcinoid].. PubMed. 57(6). 590–4. 13 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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