V. Vávrová

1.3k citations
41 papers · 732 · h-index 14

Impact in

Papers in

V. Vávrová

38 papers receiving 700 citations

Peers

V. Vávrová
Comparison fields: 5 of 84
  • Pulmonary and Respiratory Medicine 524
  • Molecular Medicine 36
  • Microbiology 37
  • Endocrinology 28
  • Nephrology 19
Replace Barbara Messore with:
Barbara Messore Italy
David Niccum United States
Yutaka Yoshii Japan
Marina Blanco Spain
Takehito Kobayashi Japan
K Kawakami Japan
Jay D. Eisenberg United States
Lourdes R. Laraya-Cuasay United States
Anthony J. Schaeffer United States
Anita Pye United Kingdom
V. Vávrová relative to Barbara Messore Italy Barbara Messore's profile →
Citations per field
00.5×6.3×
Barbara Messore · 1×
Citations per year

Countries citing papers authored by V. Vávrová

Since Specialization
Citations

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

Fields of papers citing papers by V. Vávrová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011158
2 2011123
3 200544
4 200641
5 201138
6 199834
7 200531
8 200528
9 201227
10 200821
11 200119
12 200718
13 201216
14 197114
15 201213
16 200312
17
Lung function abnormalities in cystic fibrosis and changes during growth.
198012
18 197910
19 201610
20 199510

About V. Vávrová

V. Vávrová is a scholar working on Pulmonary and Respiratory Medicine, Speech and Hearing, Epidemiology, Endocrinology and Surgery, having authored 41 papers that have together received 732 indexed citations. Recurring topics across this work include Cystic Fibrosis Research Advances (23 papers), Neonatal Respiratory Health Research (7 papers), Tracheal and airway disorders (6 papers), Inhalation and Respiratory Drug Delivery (2 papers), Dysphagia Assessment and Management (2 papers), Iron Metabolism and Disorders (2 papers), Enterobacteriaceae and Cronobacter Research (2 papers) and Renal function and acid-base balance (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (524 citations), Molecular Medicine (36 citations), Microbiology (37 citations), Endocrinology (28 citations) and Nephrology (19 citations). V. Vávrová has collaborated with scholars based in Czechia, Germany and United Kingdom. Frequent co-authors include Burkhard Tümmler, Richard Conway, Milan Maçek, K. De Boeck, Marijke Proesmans, Lena Hjelte, G. Canny, Diana Bilton, Anna Šedivá and Niels Høiby. Their work appears in journals such as Journal of Cystic Fibrosis, Acta Paediatrica, Respiration, Clinical Immunology and Advances in experimental medicine and biology.

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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