Fernando Capela e Silva

1.2k citations
46 papers · 801 · h-index 18

Impact in

Papers in

Fernando Capela e Silva

43 papers receiving 777 citations

Peers

Fernando Capela e Silva
Comparison fields: 5 of 113
  • Sensory Systems 63
  • General Dentistry 18
  • Animal Science and Zoology 120
  • Agronomy and Crop Science 113
  • Nutrition and Dietetics 136
Replace Elsa Lamy with:
Elsa Lamy Portugal
Ashish Chopra India
Sofie Tanghe Belgium
Cailu Lin United States
Paola Nicolussi Italy
Nils Krueger United States
Kate Powell United Kingdom
Huaming Mao China
Na Lü China
H. Koyama Japan
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Citations per field
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Citations per year

Countries citing papers authored by Fernando Capela e Silva

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Capela e Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fernando Capela e Silva, 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 Capela e Silva Line = papers co-authored together Fernando Capela e Silva 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 202077
2 200872
3 201162
4 201259
5 200946
6 201044
7 201041
8 201035
9 200832
10 201527
11 201327
12 202023
13 201023
14 201822
15 201021
16 201719
17 202119
18
The sheep as an animal model in orthopaedic research
200819
19 202014
20 201713

About Fernando Capela e Silva

Fernando Capela e Silva is a scholar working on Physiology, Nutrition and Dietetics, Animal Science and Zoology, Molecular Biology and Sensory Systems, having authored 46 papers that have together received 801 indexed citations. Recurring topics across this work include Salivary Gland Disorders and Functions (15 papers), Biochemical Analysis and Sensing Techniques (13 papers), Meat and Animal Product Quality (9 papers), Olfactory and Sensory Function Studies (6 papers), Bone Tissue Engineering Materials (4 papers), Ruminant Nutrition and Digestive Physiology (3 papers), Biochemical effects in animals (2 papers) and Sensory Analysis and Statistical Methods (2 papers). The work is most often cited by research in Sensory Systems (63 citations), General Dentistry (18 citations), Animal Science and Zoology (120 citations), Agronomy and Crop Science (113 citations) and Nutrition and Dietetics (136 citations). Fernando Capela e Silva has collaborated with scholars based in Portugal, Spain and Brazil. Frequent co-authors include Elsa Lamy, Ana Varela Coelho, Elvira Sales-Baptista, J. Potes, Gonçalo da Costa, António Torres Marques, Clara Frias, Alfredo Manuel Franco Pereira, J.A. Simöes and Asta Tvarijonaviciute. Their work appears in journals such as Food Research International, Archives of Oral Biology, Applied Sciences, Agroforestry Systems and Foods.

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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