Jana Vávrová

33 total papers · 970 total citations
13 papers, 340 citations indexed

About

Jana Vávrová is a scholar working on Epidemiology, Neurology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jana Vávrová has authored 13 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 5 papers in Neurology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jana Vávrová's work include Acute Ischemic Stroke Management (6 papers), Cerebrovascular and Carotid Artery Diseases (4 papers) and Intracranial Aneurysms: Treatment and Complications (3 papers). Jana Vávrová is often cited by papers focused on Acute Ischemic Stroke Management (6 papers), Cerebrovascular and Carotid Artery Diseases (4 papers) and Intracranial Aneurysms: Treatment and Complications (3 papers). Jana Vávrová collaborates with scholars based in Czechia, India and Germany. Jana Vávrová's co-authors include Pavel Janoš, Věra Pilařová, David Kemlink, Karel Šonka, Doris Vokurková, Marta Kalousová, J Šinkora, Eva Havrdová, Peter Vaško and Dana Horáková and has published in prestigious journals such as European Heart Journal, Geoderma and Sleep Medicine.

In The Last Decade

Jana Vávrová

13 papers receiving 329 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jana Vávrová 139 64 52 47 45 13 340
K Yoshida 166 1.2× 21 0.3× 16 0.3× 17 0.4× 16 0.4× 26 388
Yanliang Li 57 0.4× 46 0.7× 22 0.4× 11 0.2× 13 0.3× 20 379
Kwon Jeong 27 0.2× 32 0.5× 7 0.1× 14 0.3× 32 0.7× 22 397
Monika Jain 46 0.3× 48 0.8× 7 0.1× 22 0.5× 6 0.1× 21 394
Qiuhong Yu 20 0.1× 23 0.4× 17 0.3× 31 0.7× 40 0.9× 22 325
Michitaka Tanaka 31 0.2× 20 0.3× 24 0.5× 2 0.0× 47 1.0× 30 337
Mengmeng Shao 73 0.5× 37 0.6× 23 0.4× 10 0.2× 8 0.2× 24 368
Kemal Güneş 42 0.3× 21 0.3× 5 0.1× 9 0.2× 17 0.4× 20 373
Ziping Wang 51 0.4× 10 0.2× 28 0.5× 9 0.2× 79 1.8× 17 298
Y. Takai 27 0.2× 30 0.5× 26 0.5× 19 0.4× 7 0.2× 30 370

Countries citing papers authored by Jana Vávrová

Since Specialization
Citations

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

Fields of papers citing papers by Jana Vávrová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jana Vávrová

This figure shows the co-authorship network connecting the top 25 collaborators of Jana Vávrová. A scholar is included among the top collaborators of Jana Vávrová based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jana Vávrová. Jana Vávrová is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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