Jana Matějková

557 citations
26 papers · 431 indexed · h-index 14

Jana Matějková

25 papers receiving 422 citations

Peers

Jana Matějková
Comparison fields: 5 of 76
  • Infectious Diseases 252
  • Critical Care and Intensive Care Medicine 44
  • Endocrinology 27
  • Epidemiology 175
  • Clinical Biochemistry 27
Replace Anna Maria Schimizzi with:
Anna Maria Schimizzi Italy
Ludmila Matos Baltazar Brazil
M. Tumbarello Italy
Daniel Friedman United States
April K. Roberts United Kingdom
Craig Williams United Kingdom
Parampal Deol United States
Kanitha Patarakul Thailand
Michael A. Petrou United Kingdom
Deborah Yamamura Canada
Jana Matějková relative to Anna Maria Schimizzi Italy Anna Maria Schimizzi's profile →
Citations per field
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Anna Maria Schimizzi · 1×
Citations per year

Countries citing papers authored by Jana Matějková

Since Specialization
Citations

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

Fields of papers citing papers by Jana Matějková

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20220
2 20223
3 201929
4
The recognition and characterisation of Finnish Clostridium difficile isolates resembling PCR-ribotype 027
20182
5 20186
6 201831
7 201716
8 201711
9 201625
10 201637
11 20167
12 201527
13 20159
14 201519
15 20153
16 201428
17 201414
18
[Diagnosis of Clostridium difficile infections: comparative study of two immuno enzyme assays with confirmation by PCR and culture followed by PCR ribotyping].
20142
19 20134
20 201030

About Jana Matějková

Jana Matějková is a scholar working on Infectious Diseases, Endocrinology and Pharmaceutical Science, having authored 26 papers that have together received 431 indexed citations. Recurring topics across this work include Clostridium difficile and Clostridium perfringens research (16 papers), Viral gastroenteritis research and epidemiology (9 papers), Microscopic Colitis (8 papers), Antimicrobial Resistance in Staphylococcus (3 papers), Bacterial Identification and Susceptibility Testing (2 papers), Advancements in Transdermal Drug Delivery (1 paper), Respiratory viral infections research (1 paper) and Graphene research and applications (1 paper). The work is most often cited by research in Infectious Diseases (252 citations), Critical Care and Intensive Care Medicine (44 citations) and Endocrinology (27 citations). Jana Matějková has collaborated with scholars based in Czechia, Netherlands and Slovakia. Frequent co-authors include Otakar Nyč, Marcela Krůtová, Ed J. Kuijper, Pavel Dřevı́nek, Ján Urban, Ladislav Kokoška, Iva Langrová, Jir̆ı́ Drábek, Martin Hrubý and Jiří Trousil. Their work appears in journals such as Journal of Clinical Microbiology, Biomacromolecules and Nanomedicine Nanotechnology Biology and Medicine.

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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