Martina Košíková

603 citations
18 papers · 380 indexed · h-index 11
Topics
Influenza Virus Research Studies (14 papers)Respiratory viral infections research (5 papers)SARS-CoV-2 and COVID-19 Research (4 papers)

In The Last Decade

Martina Košíková

17 papers receiving 374 citations

Peers

Martina Košíková
Comparison fields: 5 of 56
  • Epidemiology 230
  • Molecular Biology 132
  • Infectious Diseases 126
  • Immunology 114
  • Radiology, Nuclear Medicine and Imaging 42
Replace Michael A. Carlock with:
Michael A. Carlock United States
Vadim Tsvetnitsky United States
Steve Gamblin United Kingdom
Pavel Marichal‐Gallardo Germany
Iuliia M. Gilchuk United States
Hui-Ting Ho Australia
Yipu Lin United Kingdom
Upma Gulati United States
Henry A. Utset United States
Roosmarijn van der Woude Netherlands
Martina Košíková relative to Michael A. Carlock United States Michael A. Carlock's profile →
Citations per field
00.5×5.1×
Michael A. Carlock · 1×
Citations per year

Countries citing papers authored by Martina Košíková

Since Specialization
Citations

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

Fields of papers citing papers by Martina Košíková

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martina Košíková

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 0
2 4
3 2
4 10
5 58
6 5
7 4
8 5
9 8
10 57
11 56
12 10
13 41
14 19
15 52
16 12
17 21
18 16

About Martina Košíková

Martina Košíková is a scholar working on Epidemiology, Infectious Diseases and Agronomy and Crop Science, having authored 18 papers that have together received 380 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (14 papers), Respiratory viral infections research (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). The work is most often cited by research in Infectious Diseases (126 citations), Epidemiology (230 citations) and Immunology (114 citations). Martina Košíková has collaborated with scholars based in United States, Slovakia and Latvia. Frequent co-authors include Hang Xie, Peter Radvák, Zhiping Ye, Ivan Košík, Jonathan W. Yewdell, Matthew Angel, Christopher B. Brooke, John F. Cipollo, Shuang Yang and Ewa A. Jankowska. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Experimental 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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