Fernando Fonseca

440 citations
26 papers · 316 indexed · h-index 11
Topics
Pituitary Gland Disorders and Treatments (4 papers)Neuroendocrine Tumor Research Advances (3 papers)Cancer, Hypoxia, and Metabolism (3 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsInternational Journal of Molecular Sciences

In The Last Decade

Fernando Fonseca

23 papers receiving 308 citations

Peers

Fernando Fonseca
Comparison fields: 5 of 78
  • Surgery 94
  • Pulmonary and Respiratory Medicine 67
  • Molecular Biology 57
  • Pharmacology 56
  • Endocrinology, Diabetes and Metabolism 53
Replace Cristina Malaventura with:
Cristina Malaventura Italy
Dorel Firescu Romania
Shuliang Zhou China
Ali Ekrem Ünal Türkiye
Atsuhiko Tada Japan
P.L. Adams United States
Michael A. Mederos United States
Ayako Fukushima Japan
Laura Rebegea Romania
C. Rempenault France
Fernando Fonseca relative to Cristina Malaventura Italy Cristina Malaventura's profile →
Citations per field
00.5×11.2×
Cristina Malaventura · 1×
Citations per year

Countries citing papers authored by Fernando Fonseca

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Fonseca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Fonseca

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Fonseca. A scholar is included among the top collaborators of Fernando Fonseca 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 Fernando Fonseca. Fernando Fonseca 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
#WorkIndexed citations
1 0
2 0
3 1
4 4
5 2
6 18
7 8
8 3
9 16
10 7
11 1
12 14
13 11
14 6
15 17
16 70
17 12
18 16
19 30
20 59

About Fernando Fonseca

Fernando Fonseca is a scholar working on Endocrinology, Diabetes and Metabolism, Clinical Biochemistry and Genetics, having authored 26 papers that have together received 316 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (4 papers), Neuroendocrine Tumor Research Advances (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (16 citations), Nephrology (39 citations) and Molecular Medicine (22 citations). Fernando Fonseca has collaborated with scholars based in Brazil, Portugal and United States. Frequent co-authors include Mário Dinis‐Ribeiro, María José Bento, Helena Lomba-Viana, José Ángel Sánchez‐Izquierdo, Esther Corral, Jordi Rello, José Luís Pedraz, Andrés Canut, Manuel C. Lemos and Valeriano Leite. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports 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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