Marie Černá

96 papers receiving 1.4k citations

Peers

Marie Černá
Comparison fields: 5 of 120
  • Gastroenterology 152
  • Immunology 295
  • Nephrology 80
  • Internal Medicine 31
  • Emergency Medical Services 60
Replace Takuya Matsumoto with:
Takuya Matsumoto Japan
Vasileios Papadopoulos Greece
Colin R. Lenihan United States
Claudia Bănescu Romania
Christoph Bidlingmaier Germany
Mary E. Comeau United States
Raymond J. Tesi United States
R C Williamson United Kingdom
Cornelia Schneider Switzerland
Mark Stovroff United States
Marie Černá relative to Takuya Matsumoto Japan Takuya Matsumoto's profile →
Citations per field
00.5×5.8×
Takuya Matsumoto · 1×
Citations per year

Countries citing papers authored by Marie Černá

Since Specialization
Citations

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

Fields of papers citing papers by Marie Černá

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993120
2 2010104
3 2013100
4 200790
5 200767
6 201153
7 201351
8 201950
9 199244
10 200638
11 201934
12 199333
13 197733
14 200428
15 201227
16 202426
17 202025
18 201122
19 199320
20 201818

About Marie Černá

Marie Černá is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Immunology, Genetics and Molecular Biology, having authored 105 papers that have together received 1.4k indexed citations. Recurring topics across this work include Diabetes and associated disorders (14 papers), Aortic aneurysm repair treatments (12 papers), Immune Cell Function and Interaction (9 papers), Vascular Procedures and Complications (8 papers), T-cell and B-cell Immunology (7 papers), Cardiac, Anesthesia and Surgical Outcomes (6 papers), Central Venous Catheters and Hemodialysis (6 papers) and Acute Ischemic Stroke Management (6 papers). The work is most often cited by research in Gastroenterology (152 citations), Immunology (295 citations), Nephrology (80 citations), Internal Medicine (31 citations) and Emergency Medical Services (60 citations). Marie Černá has collaborated with scholars based in Czechia, United States and Germany. Frequent co-authors include Martin Köcher, Peter Šťastný, Marcelo Fernández-Viña, Eduardo Raimondi, Michela Falco, Petr Bachleda, Ludmila Tučková, Armando Maccagno, Lenka Palová-Jelínková and M Dvořák. Their work appears in journals such as International Journal of Molecular Sciences, European Journal of Radiology, Human Immunology, CardioVascular and Interventional Radiology and Immunology Letters.

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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