David Šálek

461 citations
23 papers · 156 · h-index 8

Impact in

Papers in

David Šálek

20 papers receiving 152 citations

Peers

David Šálek
Comparison fields: 5 of 28
  • Pathology and Forensic Medicine 130
  • Genetics 44
  • Oncology 102
  • Cancer Research 23
  • Neurology 20
Replace Mu‐Chen Zhang with:
Mu‐Chen Zhang China
Allison Barraclough Australia
Joel Wight Australia
Jesse Shustik Canada
Barbara Mantoan Italy
Joan E. Ramis-Zaldivar Spain
C. Bastard France
Barbara Mankel Germany
Takayasu Kato Japan
Kerstin Busch Germany
David Šálek relative to Mu‐Chen Zhang China Mu‐Chen Zhang's profile →
Citations per field
00.5×3.7×
Mu‐Chen Zhang · 1×
Citations per year

Countries citing papers authored by David Šálek

Since Specialization
Citations

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

Fields of papers citing papers by David Šálek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Šálek, 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 David Šálek Line = papers co-authored together David Šálek links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201421
2 201321
3 201920
4 201712
5 201410
6 201810
7 20159
8 20107
9 20147
10 20166
11 20166
12 20186
13 20086
14 20224
15 20163
16 20102
17 20142
18 20231
19
Vitamin D insufficiency is not associated with diseaseaggressivity in newly diagnosed non-Hodgkin lymphoma patients
20131
20 20161

About David Šálek

David Šálek is a scholar working on Pathology and Forensic Medicine, Oncology, Genetics, Pulmonary and Respiratory Medicine and Neurology, having authored 23 papers that have together received 156 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (22 papers), Viral-associated cancers and disorders (10 papers), Chronic Lymphocytic Leukemia Research (7 papers), Lung Cancer Treatments and Mutations (4 papers), Cancer-related Molecular Pathways (2 papers), CNS Lymphoma Diagnosis and Treatment (2 papers), Sarcoma Diagnosis and Treatment (2 papers) and Cancer Risks and Factors (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (130 citations), Genetics (44 citations), Oncology (102 citations), Cancer Research (23 citations) and Neurology (20 citations). David Šálek has collaborated with scholars based in Czechia, France and United States. Frequent co-authors include Andrea Janíková, Marek Trněný, David Belada, Mojmír Moulis, Jiřı́ Mayer, Robert Pytlík, Vít Procházka, Tomáš Papajík, Vít Campr and Jana Šmardová. Their work appears in journals such as Blood, Cytometry Part B Clinical Cytometry, Oncology Reports, Annals of Hematology and Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin.

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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