Daniela Pintérová
Impact in
Papers in
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- Cancer Research and Treatments 5
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- Cancer, Hypoxia, and Metabolism 2
- Co-authors
- Katarína KološtováVladimír BobekM KubecováRobert M. HoffmanGrzegorz KacprzakMichael Boubelı́kJerzy KołodziejMarie Černá
- Journals
- Immunology Letters (1 paper)American Journal of Otolaryngology (1 paper)European Journal of Pharmaceutical Sciences (1 paper)Cancer Letters (1 paper)European Journal of Pediatrics (1 paper)
- Partner nations
- CzechiaPolandUnited States
In The Last Decade
Daniela Pintérová
18 papers receiving 495 citations
Peers
Comparison fields: 5 of 98
- Immunology 84
- Cancer Research 59
- Hepatology 29
- Biotechnology 31
- Oncology 91
Countries citing papers authored by Daniela Pintérová
This map shows the geographic impact of Daniela Pintérová'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 Daniela Pintérová with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Pintérová more than expected).
Fields of papers citing papers by Daniela Pintérová
This network shows the impact of papers produced by Daniela Pintérová. 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 Daniela Pintérová. The network helps show where Daniela Pintérová may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniela Pintérová, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Circulating tumor cells in patients with breast cancer: monitoring chemotherapy success. | 2015 | 12 |
| 2 | Tail spontaneous metastatic mouse model: comparison of metastatic potential of orthotopic and heterotopic models imaged by GFP and RFP protein. | 2012 | 1 |
| 3 | 2011 | 5 | |
| 4 | 2011 | 3 | |
| 5 | 2011 | 58 | |
| 6 | 2011 | 4 | |
| 7 | Circulating human prostate cancer cells from an orthotopic mouse model rapidly captured by immunomagnetic beads and imaged by GFP expression. | 2011 | 27 |
| 8 | A clinically relevant, syngeneic model of spontaneous, highly metastatic B16 mouse melanoma. | 2010 | 170 |
| 9 | 2007 | 7 | |
| 10 | 2006 | 32 | |
| 11 | 2006 | 45 | |
| 12 | 2006 | 38 | |
| 13 | 2005 | 22 | |
| 14 | 2005 | 5 | |
| 15 | 2005 | 11 | |
| 16 | 2004 | 32 | |
| 17 | 2004 | 3 | |
| 18 | 2004 | 28 |
About Daniela Pintérová
Daniela Pintérová is a scholar working on Biotechnology, Cancer Research, Oncology, Immunology and Genetics, having authored 18 papers that have together received 503 indexed citations. Recurring topics across this work include Cancer Research and Treatments (5 papers), Cancer Cells and Metastasis (4 papers), Diabetes and associated disorders (4 papers), Immune Cell Function and Interaction (3 papers), Virus-based gene therapy research (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Osteoarthritis Treatment and Mechanisms (2 papers) and Angiogenesis and VEGF in Cancer (2 papers). The work is most often cited by research in Immunology (84 citations), Cancer Research (59 citations), Hepatology (29 citations), Biotechnology (31 citations) and Oncology (91 citations). Daniela Pintérová has collaborated with scholars based in Czechia, Poland and United States. Frequent co-authors include Katarína Kološtová, Vladimír Bobek, M Kubecová, Robert M. Hoffman, Grzegorz Kacprzak, Michael Boubelı́k, Jerzy Kołodziej, Marie Černá, Peter Novota and Michal Anděl. Their work appears in journals such as Immunology Letters, American Journal of Otolaryngology, European Journal of Pharmaceutical Sciences, Cancer Letters and European Journal of Pediatrics.
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.