Fernando Regateiro

1.3k citations
46 papers · 1.0k · h-index 17

Impact in

Papers in

    • Glutathione Transferases and Polymorphisms 6
    • Epigenetics and DNA Methylation 4
    • Drug Transport and Resistance Mechanisms 3
    • Chemokine receptors and signaling 3

Fernando Regateiro

46 papers receiving 996 citations

Peers

Fernando Regateiro
Comparison fields: 5 of 88
  • Oncology 332
  • Pathology and Forensic Medicine 211
  • Pharmacology 107
  • Transplantation 25
  • Pediatrics, Perinatology and Child Health 139
Replace Katsuhiko Saito with:
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Panagoula Κollia Greece
Mai He United States
Peter Hasselblatt Germany
Josette Champagne Canada
Kenichi Fukai Japan
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Citations per field
00.5×3.8×
Katsuhiko Saito · 1×
Citations per year

Countries citing papers authored by Fernando Regateiro

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Regateiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001346
2 200484
3 200474
4 200859
5 200532
6 200632
7
Soluble VCAM-1 and E-selectin in breast cancer: relationship with staging and with the detection of circulating cancer cells.
200631
8 200428
9 200926
10 200624
11 200321
12 200320
13 202220
14 200220
15 200919
16 201419
17 199819
18 200815
19 200713
20 200912

About Fernando Regateiro

Fernando Regateiro is a scholar working on Molecular Biology, Oncology, Immunology, Surgery and Pathology and Forensic Medicine, having authored 46 papers that have together received 1.0k indexed citations. Recurring topics across this work include Glutathione Transferases and Polymorphisms (6 papers), Genetic factors in colorectal cancer (5 papers), Immunotherapy and Immune Responses (4 papers), Epigenetics and DNA Methylation (4 papers), Pharmacogenetics and Drug Metabolism (3 papers), T-cell and B-cell Immunology (3 papers), Drug Transport and Resistance Mechanisms (3 papers) and Chemokine receptors and signaling (3 papers). The work is most often cited by research in Oncology (332 citations), Pathology and Forensic Medicine (211 citations), Pharmacology (107 citations), Transplantation (25 citations) and Pediatrics, Perinatology and Child Health (139 citations). Fernando Regateiro has collaborated with scholars based in Portugal, Brazil and Germany. Frequent co-authors include Manuel C. Lemos, Xiehe Liu, Margaret‐Mary Ameyaw, Jessie Githanga, Anne Indalo, Tao Li, David Ofori‐Adjei, Henriqueta Coimbra Silva, Manuela Carvalheiro and Leonor Gomes. Their work appears in journals such as Human Mutation, European Journal of Cancer, Clinical Endocrinology, International Journal of Immunogenetics and BMC Oral Health.

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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