Jan Máca

40 papers receiving 667 citations

Peers

Jan Máca
Comparison fields: 5 of 89
  • Critical Care and Intensive Care Medicine 65
  • Anesthesiology and Pain Medicine 45
  • Emergency Medicine 48
  • Pulmonary and Respiratory Medicine 159
  • Cardiology and Cardiovascular Medicine 73
Replace Dorothy Thomson with:
Dorothy Thomson Canada
Paul Johnston United Kingdom
Seong Jong Park South Korea
Alexander D. Cornet Netherlands
Hans‐Dieter Walmrath Germany
Toru Kotani Japan
Antonis Papaiwannou Greece
Konstanty Szułdrzyński Poland
Claude Guérin France
Raoul Schorer Switzerland
Jan Máca relative to Dorothy Thomson Canada Dorothy Thomson's profile →
Citations per field
00.5×10×15×20×22.8×
Dorothy Thomson · 1×
Citations per year

Countries citing papers authored by Jan Máca

Since Specialization
Citations

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

Fields of papers citing papers by Jan Máca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jan Máca, 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 Jan Máca Line = papers co-authored together Jan Máca links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016230
2 2018119
3 201839
4 201737
5 202234
6 201827
7 202118
8 201717
9 201613
10 202112
11 201411
12 201811
13 20258
14 20188
15 20147
16 20227
17 20007
18 20236
19 20186
20 20236

About Jan Máca

Jan Máca is a scholar working on Pulmonary and Respiratory Medicine, Emergency Medicine, Surgery, Biomedical Engineering and Epidemiology, having authored 48 papers that have together received 675 indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (11 papers), Cardiac Arrest and Resuscitation (9 papers), Mechanical Circulatory Support Devices (9 papers), Sepsis Diagnosis and Treatment (8 papers), Traumatic Brain Injury and Neurovascular Disturbances (5 papers), S100 Proteins and Annexins (4 papers), Hemodynamic Monitoring and Therapy (4 papers) and Neonatal Respiratory Health Research (4 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (65 citations), Anesthesiology and Pain Medicine (45 citations), Emergency Medicine (48 citations), Pulmonary and Respiratory Medicine (159 citations) and Cardiology and Cardiovascular Medicine (73 citations). Jan Máca has collaborated with scholars based in Czechia, United Kingdom and Slovakia. Frequent co-authors include Pavel Ševčík, Ondřej Jor, Peter Sklienka, Michal Holub, Filip Burša, Michal Burda, Vladimí­r Janout, Petr Reimer, Vladimír Černý and Tomáš Vymazal. Their work appears in journals such as Critical Care, Therapeutics and Clinical Risk Management, Diagnostic Microbiology and Infectious Disease, Transfusion Medicine and Artificial Organs.

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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