Daniel Pinďák

633 citations
44 papers · 500 · h-index 13

Impact in

    • Cancer Genomics and Diagnostics
    • Protease and Inhibitor Mechanisms
    • Cancer, Hypoxia, and Metabolism
    • Cancer Cells and Metastasis
    • Pancreatic and Hepatic Oncology Research

Papers in

Daniel Pinďák

42 papers receiving 493 citations

Peers

Daniel Pinďák
Comparison fields: 5 of 66
  • Cancer Research 140
  • Oncology 240
  • Internal Medicine 10
  • Molecular Biology 154
  • Immunology 43
Replace Chuntao Wu with:
Chuntao Wu China
Arija Brize United States
Daniela Bianconi Austria
Meihai Deng China
Evan Gomes-Giacoia United States
Kellie A. Mouchemore Australia
Shunichi Ishigami Japan
Margaret L. Patterson United Kingdom
Stephan Macher-Göppinger Germany
Luigi Tomao Italy
Daniel Pinďák relative to Chuntao Wu China Chuntao Wu's profile →
Citations per field
00.5×1.5×2×2.5×
Chuntao Wu · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201662
2 201953
3 201446
4 201535
5 202131
6 201529
7 201529
8 200627
9 202024
10 202014
11
The clinical value of the procalcitonin in prediction of severity and outcome in acute pancreatitis.
200314
12 202313
13 201613
14 201710
15 20179
16 20208
17 20057
18 20177
19 20206
20 20226

About Daniel Pinďák

Daniel Pinďák is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Surgery, Cancer Research and Hepatology, having authored 44 papers that have together received 500 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (9 papers), Pancreatitis Pathology and Treatment (5 papers), Testicular diseases and treatments (4 papers), Cancer Genomics and Diagnostics (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Sarcoma Diagnosis and Treatment (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and Renal cell carcinoma treatment (2 papers). The work is most often cited by research in Cancer Research (140 citations), Oncology (240 citations), Internal Medicine (10 citations), Molecular Biology (154 citations) and Immunology (43 citations). Daniel Pinďák has collaborated with scholars based in Slovakia, United States and Malaysia. Frequent co-authors include Michal Mego, Marián Karaba, Juraj Benca, Gabriel Minárik, Tatiana Sedláčková, Jozef Mardiak, Zuzana Čierna, Paulina Gronesova, James Mwikya Reuben and Kalavska Katarina. Their work appears in journals such as BMC Surgery, Anticancer Research, BMC Cancer, Frontiers in Oncology and International Journal of Molecular Sciences.

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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