Fernando Pardal

28 papers receiving 1.7k citations

Fernando Pardal's Hit Papers

Frequency of TERT promoter mutations in human cancers 2013 · 743 citations
7430+4+8Years since publication200400600

Peers

Fernando Pardal
Comparison fields: 5 of 74
  • Genetics 360
  • Endocrinology, Diabetes and Metabolism 252
  • Cancer Research 180
  • Physiology 236
  • Oncology 176
Replace João Vinagre with:
João Vinagre Portugal
Hugo Prazeres Portugal
Sílvia Regina Caminada de Toledo Brazil
Tatiana Lipman Canada
Luigi Cavazzini Italy
Helena Jernberg‐Wiklund Sweden
Jana Fassunke Germany
Natalie Vena United States
Greta Alì Italy
Javier Perales-Patón Spain
Fernando Pardal relative to João Vinagre Portugal João Vinagre's profile →
Citations per field
00.5×2×2.7×
João Vinagre · 1×
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 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Frequency of TERT promoter mutations in human cancers
Hit paper breakdown →
2013743
2
Clinicopathological correlation and prognostic significance of VEGF-A, VEGF-C, VEGFR-2 and VEGFR-3 expression in colorectal cancer.
2013106
3 200998
4 200481
5 200775
6 201270
7 201259
8
Analysis of EGFR overexpression, EGFR gene amplification and the EGFRvIII mutation in Portuguese high-grade gliomas.
200856
9 201654
10 201839
11 201136
12 201635
13 200733
14 200427
15 201023
16 201022
17 200721
18 200018
19 200814
20 200914

About Fernando Pardal

Fernando Pardal is a scholar working on Genetics, Pathology and Forensic Medicine, Dermatology, Oncology and Physiology, having authored 29 papers that have together received 1.7k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (10 papers), Genetic factors in colorectal cancer (3 papers), Skin Diseases and Diabetes (2 papers), Histiocytic Disorders and Treatments (2 papers), Thyroid Cancer Diagnosis and Treatment (2 papers), Cancer, Hypoxia, and Metabolism (1 paper), Autoimmune and Inflammatory Disorders (1 paper) and Autoimmune Bullous Skin Diseases (1 paper). The work is most often cited by research in Genetics (360 citations), Endocrinology, Diabetes and Metabolism (252 citations), Cancer Research (180 citations), Physiology (236 citations) and Oncology (176 citations). Fernando Pardal has collaborated with scholars based in Portugal, United Kingdom and Brazil. Frequent co-authors include José Manuel Lopes, Rui Manuel Reis, Adhemar Longatto‐Filho, Sandra Fátima Fernandes Martins, Mesquita Rodrigues, Paula Soares, Albino M Martins, Marcus Alexandre Mendes Luz, Filipa Isabel Quaresma Santos Ventura and Celeste Brito. Their work appears in journals such as International Journal of Cancer, BMC Cancer, Nature Communications, The Breast and British Journal of Cancer.

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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