Lenka Kašíková

2.1k citations
12 papers · 1.3k indexed · 1 hit paper · h-index 10
Topics
Immune Cell Function and Interaction (7 papers)Cancer Immunotherapy and Biomarkers (5 papers)Acute Myeloid Leukemia Research (3 papers)

In The Last Decade

Lenka Kašíková

12 papers receiving 1.2k citations

Hit Papers

Detection of immunogenic cell death and its relevance for...20202026202220242020250500750

Peers

Lenka Kašíková
Comparison fields: 5 of 79
  • Immunology 716
  • Oncology 564
  • Molecular Biology 337
  • Biomedical Engineering 273
  • Pulmonary and Respiratory Medicine 197
Replace Aleksandra M. Dudek with:
Aleksandra M. Dudek Netherlands
Layla J. Barkal United States
B. Leticia Rodriguez United States
Nathan E. Reticker-Flynn United States
Simone Gaedicke Germany
Nimali P. Withana United States
Yuan‐Tong Liu China
Jorrit De Waele Belgium
Francesco De Sanctis Italy
Anthony Venida United States
Lenka Kašíková relative to Aleksandra M. Dudek Netherlands Aleksandra M. Dudek's profile →
Citations per field
00.5×
Aleksandra M. Dudek · 1×
Citations per year

Countries citing papers authored by Lenka Kašíková

Since Specialization
Citations

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

Fields of papers citing papers by Lenka Kašíková

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lenka Kašíková

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 15
2 22
3 34
4
Detection of immunogenic cell death and its relevance for cancer therapybreakdown →
756
5 20
6 3
7 43
8 60
9 1
10 144
11 40
12 114

About Lenka Kašíková

Lenka Kašíková is a scholar working on Aging, Immunology and Hematology, having authored 12 papers that have together received 1.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Acute Myeloid Leukemia Research (3 papers). The work is most often cited by research in Immunology (716 citations), Oncology (564 citations) and Physiology (40 citations). Lenka Kašíková has collaborated with scholars based in Czechia, United States and France. Frequent co-authors include Radek Špíšek, Jitka Fučíková, Lorenzo Galluzzi, Guido Kroemer, Oliver Kepp, Peng Liu, Giulia Petroni, Takahiro Yamazaki, Liwei Zhao and Iva Truxová. Their work appears in journals such as Blood, Genetics and Methods in enzymology on CD-ROM/Methods in enzymology.

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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