Daniel Pinďák

612 total citations
47 papers, 476 citations indexed

About

Daniel Pinďák is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Surgery. According to data from OpenAlex, Daniel Pinďák has authored 47 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Pulmonary and Respiratory Medicine, 22 papers in Oncology and 18 papers in Surgery. Recurrent topics in Daniel Pinďák's work include Cancer Cells and Metastasis (15 papers), Metastasis and carcinoma case studies (7 papers) and Testicular diseases and treatments (6 papers). Daniel Pinďák is often cited by papers focused on Cancer Cells and Metastasis (15 papers), Metastasis and carcinoma case studies (7 papers) and Testicular diseases and treatments (6 papers). Daniel Pinďák collaborates with scholars based in Slovakia, Malaysia and India. Daniel Pinďák's co-authors include Michal Mego, Marián Karaba, Juraj Benca, Gabriel Minárik, Tatiana Sedláčková, Jozef Mardiak, Zuzana Čierna, James M. Reuben, Paulina Gronesova and Massimo Cristofanilli and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and International Journal of Molecular Sciences.

In The Last Decade

Daniel Pinďák

45 papers receiving 470 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Pinďák Slovakia 12 285 174 163 88 86 47 476
Ruitai Fan China 12 216 0.8× 157 0.9× 146 0.9× 86 1.0× 86 1.0× 31 476
Su Mei Cao China 6 281 1.0× 173 1.0× 137 0.8× 140 1.6× 86 1.0× 19 586
Hiromitsu Komiyama Japan 10 142 0.5× 198 1.1× 90 0.6× 66 0.8× 69 0.8× 38 431
Billur Şamli United States 10 247 0.9× 137 0.8× 252 1.5× 109 1.2× 95 1.1× 13 596
Chang Shu Wang Canada 12 241 0.8× 139 0.8× 146 0.9× 65 0.7× 173 2.0× 15 565
Gian Paolo Spinelli Italy 15 190 0.7× 132 0.8× 131 0.8× 92 1.0× 158 1.8× 50 514
Ángela Rynne‐Vidal Spain 9 208 0.7× 189 1.1× 104 0.6× 202 2.3× 104 1.2× 10 565
Heran Deng China 13 262 0.9× 130 0.7× 216 1.3× 81 0.9× 91 1.1× 31 577
Lifeng Sun China 15 195 0.7× 195 1.1× 147 0.9× 110 1.3× 120 1.4× 39 558
Mogens K. Boisen Denmark 13 261 0.9× 151 0.9× 154 0.9× 89 1.0× 79 0.9× 23 443

Countries citing papers authored by Daniel Pinďák

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Pinďák

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Pinďák

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Pinďák. A scholar is included among the top collaborators of Daniel Pinďák based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Pinďák. Daniel Pinďák is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mego, Michal, et al.. (2024). Detection, significance and potential utility of circulating tumor cells in clinical practice in breast cancer (Review). Oncology Letters. 29(1). 10–10. 1 indexed citations
2.
Vlková, Barbora, Katarína Kaľavská, Valentina De Angelis, et al.. (2023). Prognostic role of plasma vitamin D and its association with disease characteristics in germ cell tumours. Frontiers in Oncology. 13. 1149432–1149432. 2 indexed citations
3.
Mego, Michal, Barbora Vlková, Gabriel Minárik, et al.. (2022). Vitamin D and circulating tumor cells in primary breast cancer. Frontiers in Oncology. 12. 950451–950451. 6 indexed citations
4.
Pinďák, Daniel, et al.. (2022). Superior mesenteric vein absence with intestinal malrotation: a case report. BMC Surgery. 22(1). 39–39. 1 indexed citations
6.
Pinďák, Daniel, et al.. (2020). Impact of the anatomical location and the number of metastatic lymph nodes on gastric cancer patient´s survival. Bratislavské lekárske listy/Bratislava medical journal. 121(4). 253–258. 4 indexed citations
7.
Palacka, Patrik, Katarína Rejleková, Michal Chovanec, et al.. (2020). Successful emergency endovascular aortic repair for intratumoral hemorrhage in extensive retroperitoneal mass of testicular origin. BMC Surgery. 20(1). 272–272. 1 indexed citations
8.
Karaba, Marián, Gabriel Minárik, Juraj Benca, et al.. (2020). Circulating tumor cells and drug history in primary breast cancer patients. Cancer Drug Resistance. 3(1). 98–109.
9.
Plavá, Jana, Marina Cihova, Monika Buríková, et al.. (2020). Permanent Pro-Tumorigenic Shift in Adipose Tissue-Derived Mesenchymal Stromal Cells Induced by Breast Malignancy. Cells. 9(2). 480–480. 23 indexed citations
10.
Breza, J., et al.. (2019). The use of European Randomized study of Screening for Prostate Cancer calculator as a diagnostic tool for prostate biopsy indication. Bratislavské lekárske listy/Bratislava medical journal. 120(5). 331–335. 1 indexed citations
11.
Mego, Michal, Marián Karaba, Gabriel Minárik, et al.. (2019). Circulating Tumor Cells With Epithelial–to–mesenchymal Transition Phenotypes Associated With Inferior Outcomes in Primary Breast Cancer. Anticancer Research. 39(4). 1829–1837. 52 indexed citations
12.
Chovanec, Michal, Katarína Rejleková, Zuzana Syčová-Milá, et al.. (2019). Improved outcomes in testicular germ cell tumor patients treated at the referral center in Slovakia in the last decade.. Journal of Clinical Oncology. 37(15_suppl). e16059–e16059. 1 indexed citations
13.
Mego, Michal, et al.. (2017). The Chest Wall Tumor as a Rare Clinical Presentation of Hepatocellular Carcinoma Metastasis. Klinicka onkologie. 30(4). 299–301. 1 indexed citations
14.
Bystrický, Branislav, Marián Karaba, Gabriel Minárik, et al.. (2017). Relationship Between Circulating Tumor Cells and Tissue Plasminogen Activator in Patients with Early Breast Cancer. Anticancer Research. 37(4). 1787–1791. 5 indexed citations
15.
16.
Bystrický, Branislav, Zuzana Čierna, Pavol Janega, et al.. (2017). Relationship Between Circulating Tumor Cells and Annexin A2 in Early Breast Cancer Patients. Anticancer Research. 37(5). 2727–2734. 10 indexed citations
17.
Smolková, Božena, Michal Mego, Zuzana Čierna, et al.. (2016). Expression of SOCS1 and CXCL12 Proteins in Primary Breast Cancer Are Associated with Presence of Circulating Tumor Cells in Peripheral Blood. Translational Oncology. 9(3). 184–190. 12 indexed citations
18.
Mego, Michal, Dana Cholujová, Gabriel Minárik, et al.. (2016). CXCR4-SDF-1 interaction potentially mediates trafficking of circulating tumor cells in primary breast cancer. BMC Cancer. 16(1). 127–127. 58 indexed citations
19.
Mego, Michal, Zuzana Čierna, Pavol Janega, et al.. (2015). Relationship between circulating tumor cells and epithelial to mesenchymal transition in early breast cancer. BMC Cancer. 15(1). 533–533. 28 indexed citations
20.
Fridrichová, Ivana, Božena Smolková, Iveta Zmetakova, et al.. (2015). CXCL12 and ADAM23 hypermethylation are associated with advanced breast cancers. Translational research. 165(6). 717–730. 29 indexed citations

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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