Fernando Pardal

24 papers receiving 822 citations

Peers

Fernando Pardal
Comparison fields: 5 of 81
  • Genetics 212
  • Cancer Research 211
  • Oncology 236
  • Pathology and Forensic Medicine 136
  • Molecular Biology 404
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Xinyan Lu United States
Yvonne T.M. Tsang United States
Laurence Cooke United States
Gidi Rechavi Israel
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Linda Wellik United States
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Citations per year

Countries citing papers authored by Fernando Pardal

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Pardal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Clinicopathological correlation and prognostic significance of VEGF-A, VEGF-C, VEGFR-2 and VEGFR-3 expression in colorectal cancer.
201398
2 200990
3 200480
4 200772
5 201271
6 201255
7
Analysis of EGFR overexpression, EGFR gene amplification and the EGFRvIII mutation in Portuguese high-grade gliomas.
200854
8 201649
9 201838
10 200729
11 201629
12 200425
13 201022
14 200721
15 201017
16 200016
17 200912
18 200810
19 200910
20 20219

About Fernando Pardal

Fernando Pardal is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Oncology, Genetics and Pulmonary and Respiratory Medicine, having authored 26 papers that have together received 829 indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (4 papers), Glioma Diagnosis and Treatment (4 papers), Helicobacter pylori-related gastroenterology studies (3 papers), Protein Degradation and Inhibitors (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Sarcoma Diagnosis and Treatment (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Thyroid Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Genetics (212 citations), Cancer Research (211 citations), Oncology (236 citations), Pathology and Forensic Medicine (136 citations) and Molecular Biology (404 citations). Fernando Pardal has collaborated with scholars based in Portugal, United Kingdom and United States. Frequent co-authors include José Manuel Lopes, Rui Manuel Reis, Adhemar Longatto‐Filho, Paula Soares, Mesquita Rodrigues, Albino Martins, Sandra F. Martins, Marcus Alexandre Mendes Luz, Fernanda Milanezi and Filipa Ventura. Their work appears in journals such as International Journal of Cancer, Dermatology Research and Practice, Molecular Oncology, British Journal of Cancer and Clinical Cancer Research.

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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