David Šálek
Impact in
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment
-
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Lymphoma Diagnosis and Treatment 21
- Oncology 12
- Viral-associated cancers and disorders 9
- Cancer-related Molecular Pathways 2
- Co-authors
- Andrea Janíková (18 shared papers)Marek Trněný (14 shared papers)Mojmír Moulis (5 shared papers)David Belada (12 shared papers)Robert Pytlík (8 shared papers)Jiřı́ Mayer (6 shared papers)Vít Campr (7 shared papers)Vít Procházka (7 shared papers)
- Journals
- Blood (7 papers)Cytometry Part B Clinical Cytometry (2 papers)Oncology Reports (2 papers)Annals of Hematology (2 papers)Hematological Oncology (1 paper)
- Partner nations
- CzechiaUnited StatesFrance
In The Last Decade
David Šálek
20 papers receiving 156 citations
Peers
Comparison fields: 5 of 27
- Pathology and Forensic Medicine 124
- Genetics 37
- Oncology 89
- Cancer Research 16
- Neurology 13
Countries citing papers authored by David Šálek
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
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.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 23 | |
| 2 | 2019 | 22 | |
| 3 | 2014 | 21 | |
| 4 | 2017 | 12 | |
| 5 | 2014 | 11 | |
| 6 | 2018 | 10 | |
| 7 | 2015 | 9 | |
| 8 | 2010 | 7 | |
| 9 | 2014 | 7 | |
| 10 | 2008 | 6 | |
| 11 | 2016 | 6 | |
| 12 | 2018 | 6 | |
| 13 | 2016 | 6 | |
| 14 | 2022 | 4 | |
| 15 | 2016 | 3 | |
| 16 | 2014 | 2 | |
| 17 | 2010 | 2 | |
| 18 | 2023 | 1 | |
| 19 | 2021 | 1 | |
| 20 | 2016 | 1 |
About David Šálek
David Šálek is a scholar working on Pathology and Forensic Medicine, Oncology, Genetics, Pulmonary and Respiratory Medicine and Neurology, having authored 24 papers that have together received 161 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (21 papers), Viral-associated cancers and disorders (9 papers), Chronic Lymphocytic Leukemia Research (5 papers), Lung Cancer Treatments and Mutations (3 papers), Sarcoma Diagnosis and Treatment (2 papers), Cancer-related Molecular Pathways (2 papers), CNS Lymphoma Diagnosis and Treatment (2 papers) and Multiple and Secondary Primary Cancers (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (124 citations), Genetics (37 citations), Oncology (89 citations), Cancer Research (16 citations) and Neurology (13 citations). David Šálek has collaborated with scholars based in Czechia, United States and France. Frequent co-authors include Andrea Janíková, Marek Trněný, Mojmír Moulis, David Belada, Robert Pytlík, Jiřı́ Mayer, Vít Campr, Vít Procházka, Tomáš Papajík and Jana Šmardová. Their work appears in journals such as Blood, Cytometry Part B Clinical Cytometry, Oncology Reports, Annals of Hematology and Hematological Oncology.
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.