Iveta Selingerová
Impact in
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- Glioma Diagnosis and Treatment
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- Breast Cancer Treatment Studies
- MicroRNA in disease regulation
Papers in
- Oncology 28
- Cancer Immunotherapy and Biomarkers 8
- Cancer Treatment and Pharmacology 7
- Lung Cancer Research Studies 6
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- Breast Cancer Treatment Studies 10
- Cancer, Hypoxia, and Metabolism 6
- Co-authors
- Tomáš Kazda (26 shared papers)Pavel Šlampa (18 shared papers)Alexandr Poprach (11 shared papers)M Slavík (14 shared papers)Lenka Zdražilová Dubská (15 shared papers)Petr Pospíšil (9 shared papers)Ondřej Slabý (6 shared papers)Jiří Šáňa (7 shared papers)
- Journals
- Frontiers in Oncology (4 papers)BMC Cancer (3 papers)Annals of Oncology (2 papers)Cancers (2 papers)Therapeutic Advances in Medical Oncology (2 papers)
- Partner nations
- CzechiaUnited StatesPoland
In The Last Decade
Iveta Selingerová
51 papers receiving 347 citations
Peers
Comparison fields: 5 of 72
- Genetics 65
- Cancer Research 88
- Otorhinolaryngology 23
- Oncology 130
- Immunology 69
Countries citing papers authored by Iveta Selingerová
This map shows the geographic impact of Iveta Selingerová'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 Iveta Selingerová with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iveta Selingerová more than expected).
Fields of papers citing papers by Iveta Selingerová
This network shows the impact of papers produced by Iveta Selingerová. 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 Iveta Selingerová. The network helps show where Iveta Selingerová may publish in the future.
Co-authors
The 25 scholars most cited alongside Iveta Selingerová, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 57 | |
| 2 | 2021 | 22 | |
| 3 | 2019 | 17 | |
| 4 | 2019 | 17 | |
| 5 | 2020 | 15 | |
| 6 | 2019 | 13 | |
| 7 | 2019 | 12 | |
| 8 | 2021 | 12 | |
| 9 | 2020 | 11 | |
| 10 | 2018 | 11 | |
| 11 | 2014 | 11 | |
| 12 | 2020 | 10 | |
| 13 | 2018 | 10 | |
| 14 | 2021 | 9 | |
| 15 | 2013 | 9 | |
| 16 | 2018 | 8 | |
| 17 | 2022 | 8 | |
| 18 | 2023 | 7 | |
| 19 | 2016 | 6 | |
| 20 | 2017 | 6 |
About Iveta Selingerová
Iveta Selingerová is a scholar working on Oncology, Cancer Research, Pulmonary and Respiratory Medicine, Surgery and Immunology, having authored 63 papers that have together received 353 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (10 papers), Cancer Immunotherapy and Biomarkers (8 papers), Glioma Diagnosis and Treatment (8 papers), Cancer Treatment and Pharmacology (7 papers), Immunotherapy and Immune Responses (6 papers), Lung Cancer Research Studies (6 papers), Advanced Radiotherapy Techniques (6 papers) and Cancer, Hypoxia, and Metabolism (6 papers). The work is most often cited by research in Genetics (65 citations), Cancer Research (88 citations), Otorhinolaryngology (23 citations), Oncology (130 citations) and Immunology (69 citations). Iveta Selingerová has collaborated with scholars based in Czechia, United States and Poland. Frequent co-authors include Tomáš Kazda, Pavel Šlampa, Alexandr Poprach, M Slavík, Lenka Zdražilová Dubská, Petr Pospíšil, Ondřej Slabý, Jiří Šáňa, Dalibor Valík and Michal Hendrych. Their work appears in journals such as Frontiers in Oncology, BMC Cancer, Annals of Oncology, Cancers and Therapeutic Advances in Medical 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.