M Průcha

26 papers receiving 328 citations

Peers

M Průcha
Comparison fields: 5 of 74
  • Critical Care and Intensive Care Medicine 38
  • Epidemiology 178
  • Clinical Biochemistry 27
  • Immunology 83
  • Family Practice 8
Replace Juan Carlos Castaño Botero with:
Juan Carlos Castaño Botero Colombia
Charalampos Gogos Greece
Gaëlle Pellé France
Nils‐Olivier Olsson France
Alberto Merlini Italy
Aslı Kavaz Türkiye
Stephen Drage United Kingdom
J Meyer Germany
H. B. Reith Germany
Haruji Nakamura Japan
M Průcha relative to Juan Carlos Castaño Botero Colombia Juan Carlos Castaño Botero's profile →
Citations per field
00.5×4.3×
Juan Carlos Castaño Botero · 1×
Citations per year

Countries citing papers authored by M Průcha

Since Specialization
Citations

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

Fields of papers citing papers by M Průcha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M Průcha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M Průcha Line = papers co-authored together M Průcha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014103
2 200347
3 200440
4 200728
5 201614
6 201613
7 201211
8 201410
9 20188
10 20198
11
[Comparison of procalcitonin, interleukin-6 and C-reactive protein in the differential diagnosis of patients with sepsis syndrome in intensive care units].
20037
12 20156
13
Complete proteinogram of cerebrospinal fluid and its contribution to the diagnostics of inflammatory and autoimmune diseases of the central nervous system.
20036
14 20065
15 20195
16 20194
17 20194
18 20233
19
TREM-1 expression on monocytes is not a parameter specific for infectious etiology of systemic inflammatory response syndrome.
20113
20 20162

About M Průcha

M Průcha is a scholar working on Epidemiology, Immunology, Surgery, Molecular Biology and Rheumatology, having authored 27 papers that have together received 335 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (9 papers), IgG4-Related and Inflammatory Diseases (5 papers), Immune Response and Inflammation (4 papers), Nosocomial Infections in ICU (2 papers), Bacterial Identification and Susceptibility Testing (2 papers), Abdominal vascular conditions and treatments (2 papers), Gastrointestinal disorders and treatments (2 papers) and Genetic and Kidney Cyst Diseases (1 paper). The work is most often cited by research in Critical Care and Intensive Care Medicine (38 citations), Epidemiology (178 citations), Clinical Biochemistry (27 citations), Immunology (83 citations) and Family Practice (8 citations). M Průcha has collaborated with scholars based in Czechia, Germany and Switzerland. Frequent co-authors include Roman Zazula, Geoff Bellingan, Miroslav Dostál, Stefan Rußwurm, P Štádler, Eva Kieslichová, Tomáš Tyll, J Hyánek, Hinnerk Boriss and Ralf A. Claus. Their work appears in journals such as Critical Care, Archivum Immunologiae et Therapiae Experimentalis, Physiological Research, Lipids in Health and Disease and Journal of Cystic Fibrosis.

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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