Dalibor Valík

1.7k citations
73 papers · 1.1k · h-index 19

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Genetics top 10%
    • Glioma Diagnosis and Treatment
    • BRCA gene mutations in cancer

Papers in

Dalibor Valík

69 papers receiving 1.1k citations

Peers

Dalibor Valík
Comparison fields: 5 of 96
  • Cancer Research 172
  • Genetics 116
  • Oncology 243
  • Immunology 135
  • Molecular Biology 397
Replace Jay Yang with:
Jay Yang United States
Avinash Gupta United Kingdom
Carsten Grüllich Germany
Claudio Cerchione Italy
Sang‐Hue Yen Taiwan
Anne E. Kiltie United Kingdom
Edgar Jost Germany
Udo Kellner Germany
Claire Seedhouse United Kingdom
Dalibor Valík relative to Jay Yang United States Jay Yang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Dalibor Valík

Since Specialization
Citations

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

Fields of papers citing papers by Dalibor Valík

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dalibor Valík, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dalibor Valík Line = papers co-authored together Dalibor Valík links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010111
2 200885
3 200281
4 200461
5 201258
6 200657
7 202250
8 200645
9 201443
10 200828
11 200827
12 201624
13 202021
14 200520
15 201520
16
High-dose methotrexate and/or leucovorin rescue for the treatment of children with lymphoblastic malignancies: do we really know why, when and how?
200520
17 200919
18 201518
19 199718
20 201917

About Dalibor Valík

Dalibor Valík is a scholar working on Oncology, Molecular Biology, Immunology, Public Health, Environmental and Occupational Health and Infectious Diseases, having authored 73 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (6 papers), Acute Lymphoblastic Leukemia research (5 papers), Immunotherapy and Immune Responses (5 papers), CAR-T cell therapy research (5 papers), Ovarian cancer diagnosis and treatment (4 papers), Advanced Proteomics Techniques and Applications (4 papers), Metabolism and Genetic Disorders (4 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Cancer Research (172 citations), Genetics (116 citations), Oncology (243 citations), Immunology (135 citations) and Molecular Biology (397 citations). Dalibor Valík has collaborated with scholars based in Czechia, United States and Germany. Frequent co-authors include Jaroslav Štěrba, Lenka Zdražilová Dubská, Regina Demlová, Michael A. Sheard, Viera Bajčiová, Rudolf Nenutil, Bořivoj Vojtěšek, Rostislav Vyzula, Radka Obermannová and Zdeněk Pavelka. Their work appears in journals such as Annals of Oncology, Oncology, Frontiers in Oncology, The International Journal of Biological Markers and Human Mutation.

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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