Martina Dvořáčková

995 citations
32 papers · 733 indexed · h-index 17
Topics
Chromosomal and Genetic Variations (17 papers)Telomeres, Telomerase, and Senescence (11 papers)Genomics and Chromatin Dynamics (10 papers)

In The Last Decade

Martina Dvořáčková

31 papers receiving 732 citations

Peers

Martina Dvořáčková
Comparison fields: 5 of 66
  • Molecular Biology 527
  • Plant Science 438
  • Physiology 176
  • Ecology 66
  • Clinical Biochemistry 37
Replace Agata K. Żupańska with:
Agata K. Żupańska United States
Ellen K. Monson United States
Yu. M. Konstantinov Russia
Thomas Rubin France
Iva Mozgová Czechia
Małgorzata Czarna Poland
M. J. Martínez-Sebastián Spain
G. Rainaldi Italy
María Teresa Parra Spain
Martina Dvořáčková relative to Agata K. Żupańska United States Agata K. Żupańska's profile →
Citations per field
00.5×10×20×30×37×
Agata K. Żupańska · 1×
Citations per year

Countries citing papers authored by Martina Dvořáčková

Since Specialization
Citations

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

Fields of papers citing papers by Martina Dvořáčková

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martina Dvořáčková

This figure shows the co-authorship network connecting the top 25 collaborators of Martina Dvořáčková. A scholar is included among the top collaborators of Martina Dvořáčková 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 Martina Dvořáčková. Martina Dvořáčková 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
#WorkIndexed citations
1 8
2 1
3 0
4 1
5 2
6 11
7 2
8 14
9 4
10 36
11 16
12 14
13 31
14 73
15 59
16 18
17
Analysis of Arabidopsis telomere-associated proteins in vivo
2
18 31
19 2
20 20

About Martina Dvořáčková

Martina Dvořáčková is a scholar working on Structural Biology, Plant Science and Aging, having authored 32 papers that have together received 733 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (17 papers), Telomeres, Telomerase, and Senescence (11 papers) and Genomics and Chromatin Dynamics (10 papers). The work is most often cited by research in Plant Science (438 citations), Aging (18 citations) and Structural Biology (11 citations). Martina Dvořáčková has collaborated with scholars based in Czechia, United Kingdom and France. Frequent co-authors include Jiřı́ Fajkus, Miloslava Fojtová, Eva Sýkorová, Vratislav Peška, Iva Mozgová, Petr Fajkus, Bilge Argunhan, Jan Hapala, Michal Štros and Wing‐Kit Leung. Their work appears in journals such as Nucleic Acids Research, Nature Communications and PLANT PHYSIOLOGY.

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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