Dana Dlouhá

915 total citations
49 papers, 678 citations indexed

About

Dana Dlouhá is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Dana Dlouhá has authored 49 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 14 papers in Surgery and 14 papers in Genetics. Recurrent topics in Dana Dlouhá's work include Genetic Associations and Epidemiology (11 papers), Telomeres, Telomerase, and Senescence (9 papers) and Lipoproteins and Cardiovascular Health (6 papers). Dana Dlouhá is often cited by papers focused on Genetic Associations and Epidemiology (11 papers), Telomeres, Telomerase, and Senescence (9 papers) and Lipoproteins and Cardiovascular Health (6 papers). Dana Dlouhá collaborates with scholars based in Czechia, United Kingdom and United States. Dana Dlouhá's co-authors include Jaroslav A. Hubáček, Věra Lánská, Věra Adámková, Michal Vráblík, Ivana Králová Lesná, Jan Piťha, R Češka, Ladislav Dušek, Ondřej Májek and Lukáš Zlatohlávek and has published in prestigious journals such as International Journal of Molecular Sciences, Gene and Transplantation.

In The Last Decade

Dana Dlouhá

43 papers receiving 668 citations

Peers

Dana Dlouhá
Comparison fields: 5 of 78
  • Molecular Biology 230
  • Genetics 179
  • Physiology 158
  • Surgery 119
  • Epidemiology 93
Replace Vasiliki Lagou with:
Vasiliki Lagou United Kingdom
Cong-Lin Liu United States
Ana Karina Zambrano Ecuador
Elena P. Sorokin United Kingdom
Jingzhou Wang China
Rocco Spagnuolo Italy
Nirmala D. Sirisena Sri Lanka
Bo Guan China
Emõke Endreffy Hungary
Qian Gao China
Vasiliki Lagou United Kingdom View profile →
Citations per field, relative to Dana Dlouhá
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Citations per year, relative to Dana Dlouhá
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Countries citing papers authored by Dana Dlouhá

Since Specialization
Citations

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

Fields of papers citing papers by Dana Dlouhá

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dana Dlouhá

This figure shows the co-authorship network connecting the top 25 collaborators of Dana Dlouhá. A scholar is included among the top collaborators of Dana Dlouhá 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 Dana Dlouhá. Dana Dlouhá is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 0
4 3
5 0
6 5
7 42
8 36
9 5
10 6
11 24
12 14
13 3
14 10
15 17
16 39
17
Variants within HNF1α and ANGPTL4 genes and acute coronary syndrome in Czech population. The GENDEMIP study.
4
18 39
19 29
20 49

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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