Michal Fedora

480 total citations
21 papers, 345 citations indexed

About

Michal Fedora is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Michal Fedora has authored 21 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 8 papers in Pulmonary and Respiratory Medicine and 5 papers in Surgery. Recurrent topics in Michal Fedora's work include Sepsis Diagnosis and Treatment (10 papers), Neonatal Respiratory Health Research (6 papers) and Respiratory Support and Mechanisms (5 papers). Michal Fedora is often cited by papers focused on Sepsis Diagnosis and Treatment (10 papers), Neonatal Respiratory Health Research (6 papers) and Respiratory Support and Mechanisms (5 papers). Michal Fedora collaborates with scholars based in Czechia, United States and Australia. Michal Fedora's co-authors include Jiří Žůrek, Jaroslav Michálek, Jaroslav A. Hubáček, Michal Kýr, Hana Hrstková, Martin Vavřina, Lubomı́r Elbl, Lucie Košinová, Petr Jabandžiev and Jaroslav Michálek and has published in prestigious journals such as SHILAP Revista de lepidopterología, Intensive Care Medicine and Critical Care.

In The Last Decade

Michal Fedora

18 papers receiving 337 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michal Fedora Czechia 10 188 135 116 63 62 21 345
J. Revuelto‐Rey Spain 10 181 1.0× 211 1.6× 183 1.6× 59 0.9× 25 0.4× 23 444
Eugenia Mahamid Israel 6 158 0.8× 232 1.7× 59 0.5× 20 0.3× 29 0.5× 8 315
Hidehiko Kushi Japan 9 162 0.9× 89 0.7× 56 0.5× 80 1.3× 79 1.3× 23 316
Shigehiro Shibata Japan 12 103 0.5× 21 0.2× 137 1.2× 58 0.9× 35 0.6× 30 385
William Ottestad Norway 9 38 0.2× 100 0.7× 85 0.7× 118 1.9× 68 1.1× 14 422
Hongxing Dang China 12 61 0.3× 34 0.3× 99 0.9× 134 2.1× 25 0.4× 41 346
Long Wu China 10 110 0.6× 80 0.6× 73 0.6× 26 0.4× 25 0.4× 21 291
Yasutaka Koga Japan 10 47 0.3× 37 0.3× 56 0.5× 79 1.3× 25 0.4× 21 276
Boris Nohé Germany 11 87 0.5× 55 0.4× 43 0.4× 35 0.6× 59 1.0× 29 433
Martín Sánchez-Aguilar Mexico 10 48 0.3× 134 1.0× 78 0.7× 39 0.6× 5 0.1× 24 324

Countries citing papers authored by Michal Fedora

Since Specialization
Citations

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

Fields of papers citing papers by Michal Fedora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michal Fedora

This figure shows the co-authorship network connecting the top 25 collaborators of Michal Fedora. A scholar is included among the top collaborators of Michal Fedora 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 Michal Fedora. Michal Fedora 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.
Žůrek, Jiří, Michal Kýr, Martin Vavřina, & Michal Fedora. (2015). Trefoil factor 3 as a marker of intestinal cell damage during sepsis. SHILAP Revista de lepidopterología. 10(1). 261–266. 9 indexed citations
2.
Žůrek, Jiří, Michal Kýr, Martin Vavřina, & Michal Fedora. (2014). Pancreatic stone protein – A possible biomarker of multiorgan failure and mortality in children sepsis. Cytokine. 66(2). 106–111. 16 indexed citations
3.
Jabandžiev, Petr, Jaroslav Michálek, Michal Fedora, et al.. (2014). Multiple gene-to-gene interactions in children with sepsis: a combination of five gene variants predicts outcome of life-threatening sepsis. Critical Care. 18(1). R1–R1. 28 indexed citations
4.
Žůrek, Jiří, Michal Kýr, Martin Vavřina, & Michal Fedora. (2013). Trefoil factor 2 expression and its significance as a predictor of severity of sepsis in children. Peptides. 46. 1–5. 2 indexed citations
5.
Fedora, Michal, et al.. (2013). Kapitoly z dětské intenzivní péče. 1 indexed citations
6.
Žůrek, Jiří, et al.. (2013). Influence of Prone Position and Ventilation Mode on LungHistopathology in Experimental Model of Acute RespiratoryDistress Syndrome. 13. Kongress der DeutschenInterdisziplinären Vereinigung für Intensiv- und Notfallmedizin.
7.
Žůrek, Jiří & Michal Fedora. (2013). Trefoil Factor 1 as a marker of mucosal damage of the gastrointestinal tract in children with sepsis. Biomarkers. 18(4). 338–342.
8.
Žůrek, Jiří & Michal Fedora. (2012). Classification of Infections in Intensive Care Units: A Comparison of Current Definition of Hospital-Acquired Infections and Carrier State Criterion. SHILAP Revista de lepidopterología. 1 indexed citations
9.
Žůrek, Jiří & Michal Fedora. (2012). Classification of infections in intensive care units: a comparison of current definition of hospital-acquired infections and carrier state criterion.. PubMed. 37(2). 100–4. 1 indexed citations
10.
Žůrek, Jiří & Michal Fedora. (2012). Changes in the serum levels of clusterin in children with sepsis. Pediatria Polska. 88(1). 6–13. 2 indexed citations
11.
Žůrek, Jiří & Michal Fedora. (2011). The usefulness of S100B, NSE, GFAP, NF-H, secretagogin and Hsp70 as a predictive biomarker of outcome in children with traumatic brain injury. Acta Neurochirurgica. 154(1). 93–103. 111 indexed citations
12.
Žůrek, Jiří & Michal Fedora. (2011). Dynamics of Glial Fibrillary Acidic Protein During Traumatic Brain Injury in Children. The Journal of Trauma: Injury, Infection, and Critical Care. 71(4). 854–859. 17 indexed citations
13.
Žůrek, Jiří, et al.. (2011). Hyperphosphorylated neurofilament NF-H as a predictor of mortality after brain injury in children. Brain Injury. 25(2). 221–226. 49 indexed citations
14.
Maláska, Jan, Milan Kratochvíl, Michal Kýr, et al.. (2010). Cytokine response in severe sepsis – Predicting and modelling the course of illness. International Journal of Infectious Diseases. 14. e367–e367. 3 indexed citations
15.
Maláska, Jan, Milan Kratochvíl, Michal Kýr, et al.. (2010). Cytokine response in severe sepsis: predicting and modelling the course of illness. Critical Care. 14(Suppl 1). P37–P37. 1 indexed citations
16.
Žůrek, Jiří, et al.. (2010). Dynamika neurofilamenta pNF-H jako prediktor mortality u dětí s poraněním mozku. 21(6). 331–336. 1 indexed citations
17.
Michálek, Jaroslav, et al.. (2007). Interleukin-6 gene variants and the risk of sepsis development in children. Human Immunology. 68(9). 756–760. 38 indexed citations
18.
Kýr, Michal, et al.. (2007). Modeling effect of the septic condition and trauma on C-reactive protein levels in children with sepsis: a retrospective study. Critical Care. 11(3). R70–R70. 10 indexed citations
19.
Michálek, Jaroslav, et al.. (2007). Bactericidal permeability increasing protein gene variants in children with sepsis. Intensive Care Medicine. 33(12). 2158–2164. 30 indexed citations
20.
Fedora, Michal, et al.. (2000). Effect of early intervention of high-frequency oscillatory ventilation on the outcome in pediatric acute respiratory distress syndrome.. PubMed. 101(1). 8–13. 21 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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