L.A.M. Gomide

488 citations
16 papers · 378 · h-index 12

Impact in

Papers in

    • Meat and Animal Product Quality 12
    • Animal Nutrition and Physiology 5
    • Effects of Environmental Stressors on Livestock 1
    • Sensory Analysis and Statistical Methods 2

L.A.M. Gomide

16 papers receiving 360 citations

Peers

L.A.M. Gomide
Comparison fields: 5 of 64
  • Animal Science and Zoology 298
  • Food Science 115
  • Biotechnology 22
  • Insect Science 29
  • Agronomy and Crop Science 22
Replace C. C. Daly with:
C. C. Daly New Zealand
David Dang United States
M. W. Orcutt United States
Y.H. LAN United States
S.H. Lee South Korea
Ralston Lawrie United Kingdom
Lu Dou China
M Barge Italy
B S Bidner United States
S. Gigli Italy
L.A.M. Gomide relative to C. C. Daly New Zealand C. C. Daly's profile →
Citations per field
00.5×3.4×
C. C. Daly · 1×
Citations per year

Countries citing papers authored by L.A.M. Gomide

Since Specialization
Citations

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

Fields of papers citing papers by L.A.M. Gomide

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L.A.M. Gomide. 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 L.A.M. Gomide. The network helps show where L.A.M. Gomide may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201680
2 200577
3 201146
4 200427
5 201025
6 201024
7 201419
8 200414
9 200514
10 199913
11 199411
12 201511
13 200510
14 19973
15 19972
16
Performance, carcass yield and meat quality traits of F2 crosses between Brazilian native and commercial pigs for QTL mapping.
20022

About L.A.M. Gomide

L.A.M. Gomide is a scholar working on Animal Science and Zoology, Food Science, Genetics, Biomedical Engineering and Molecular Biology, having authored 16 papers that have together received 378 indexed citations. Recurring topics across this work include Meat and Animal Product Quality (12 papers), Animal Nutrition and Physiology (5 papers), Advanced Chemical Sensor Technologies (3 papers), Genetic and phenotypic traits in livestock (3 papers), Biochemical effects in animals (2 papers), Sensory Analysis and Statistical Methods (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers) and Effects of Environmental Stressors on Livestock (1 paper). The work is most often cited by research in Animal Science and Zoology (298 citations), Food Science (115 citations), Biotechnology (22 citations), Insect Science (29 citations) and Agronomy and Crop Science (22 citations). L.A.M. Gomide has collaborated with scholars based in Brazil and United States. Frequent co-authors include Eduardo Mendes Ramos, Paulo Rogério Fontes, E. de S. Viana, Alcinéia de Lemos Souza Ramos, Márcio Machado Ladeira, Edimar Aparecida Filomeno Fontes, Luíz Alexandre Peternelli, Simone Eliza Facioni Guimarães, Paulo Sávio Lopes and Mozart Alves Fonseca. Their work appears in journals such as Meat Science, Aquaculture, LWT, Journal of Animal Science and Food Chemistry.

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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