Mariane Beline

423 total citations
25 papers, 295 citations indexed

About

Mariane Beline is a scholar working on Animal Science and Zoology, Genetics and Molecular Biology. According to data from OpenAlex, Mariane Beline has authored 25 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Animal Science and Zoology, 7 papers in Genetics and 5 papers in Molecular Biology. Recurrent topics in Mariane Beline's work include Meat and Animal Product Quality (21 papers), Animal Nutrition and Physiology (12 papers) and Genetic and phenotypic traits in livestock (6 papers). Mariane Beline is often cited by papers focused on Meat and Animal Product Quality (21 papers), Animal Nutrition and Physiology (12 papers) and Genetic and phenotypic traits in livestock (6 papers). Mariane Beline collaborates with scholars based in United States, Brazil and Uruguay. Mariane Beline's co-authors include David E. Gerrard, Saulo da Luz e Silva, Daniel Silva Antonelo, Sulaiman K. Matarneh, Santiago Luzardo, Nara Regina Brandão Cônsolo, Hao Shi, Rodrigo Silva Goulart, Luiz Alberto Colnago and Surendranath P. Suman and has published in prestigious journals such as Food Research International, Journal of Animal Science and Meat Science.

In The Last Decade

Mariane Beline

20 papers receiving 293 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mariane Beline United States 11 233 85 70 53 48 25 295
Hao Shi United States 8 230 1.0× 93 1.1× 73 1.0× 53 1.0× 40 0.8× 14 330
E. M. England United States 10 207 0.9× 107 1.3× 42 0.6× 49 0.9× 54 1.1× 16 332
Daniel Silva Antonelo Brazil 12 259 1.1× 95 1.1× 50 0.7× 37 0.7× 45 0.9× 32 324
Yanru Hou China 10 242 1.0× 118 1.4× 55 0.8× 26 0.5× 25 0.5× 32 354
C.A. Stahl United States 12 280 1.2× 40 0.5× 37 0.5× 45 0.8× 75 1.6× 18 357
Jéssica Moraes Malheiros Brazil 10 228 1.0× 110 1.3× 28 0.4× 55 1.0× 88 1.8× 31 336
Kaiqi Weng China 12 294 1.3× 161 1.9× 77 1.1× 28 0.5× 53 1.1× 28 457
David Dang United States 8 163 0.7× 102 1.2× 40 0.6× 54 1.0× 14 0.3× 16 292
Seok-Hyeon Beak South Korea 5 158 0.7× 67 0.8× 41 0.6× 14 0.3× 98 2.0× 12 278
Nara Regina Brandão Cônsolo Brazil 13 355 1.5× 120 1.4× 62 0.9× 43 0.8× 78 1.6× 61 524

Countries citing papers authored by Mariane Beline

Since Specialization
Citations

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

Fields of papers citing papers by Mariane Beline

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mariane Beline

This figure shows the co-authorship network connecting the top 25 collaborators of Mariane Beline. A scholar is included among the top collaborators of Mariane Beline 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 Mariane Beline. Mariane Beline 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
3.
Beline, Mariane, Fernando H. Biase, M. Koohmaraie, et al.. (2024). In vitro proteolysis mirrors intact muscle maturation in beef carcasses. Meat Science. 220. 109695–109695.
4.
Mourão, Gérson Barreto, Raluca G. Mateescu, Mirele Poleti, et al.. (2024). Exploring candidate genes for heat tolerance in ovine through liver gene expression. Heliyon. 10(4). e25692–e25692. 4 indexed citations
5.
Beline, Mariane, et al.. (2024). Determining muscle plasticity and meat quality development of low-input extended fed market-ready steers. Translational Animal Science. 8. txae064–txae064. 2 indexed citations
6.
Beline, Mariane, et al.. (2024). Aging increases lightness of grass-fed beef. Translational Animal Science. 8. txae140–txae140.
7.
Scheffler, Tracy L., et al.. (2023). Challenges and opportunities of using Bos indicus cattle to meet consumers' demand for quality beef. Meat Science. 207. 109375–109375. 12 indexed citations
8.
Beline, Mariane, et al.. (2023). Muscle of dark and normal beef differs metabolically. Meat Science. 206. 109344–109344. 8 indexed citations
9.
Matarneh, Sulaiman K., Jennifer Elgin, Mariane Beline, et al.. (2023). Time of dehairing alters pork quality development. Meat Science. 203. 109233–109233. 2 indexed citations
10.
Beline, Mariane, et al.. (2023). Postmortem Metabolism and Pork Quality Development Are Affected by Electrical Stimulation across Three Genetic Lines. Animals. 13(16). 2599–2599. 2 indexed citations
11.
Beline, Mariane, et al.. (2023). Fetal Programming and Its Effects on Meat Quality of Nellore Bulls. Veterinary Sciences. 10(12). 672–672. 5 indexed citations
12.
Antonelo, Daniel Silva, Saulo da Luz e Silva, Mariane Beline, et al.. (2022). Proteome basis for the biological variations in color and tenderness of longissimus thoracis muscle from beef cattle differing in growth rate and feeding regime. Food Research International. 153. 110947–110947. 22 indexed citations
13.
Cônsolo, Nara Regina Brandão, Daniel Silva Antonelo, Mariane Beline, et al.. (2022). Impact of Cattle Feeding Strategy on the Beef Metabolome. Metabolites. 12(7). 640–640. 12 indexed citations
14.
Cônsolo, Nara Regina Brandão, Mariane Beline, Taiane da Silva Martins, et al.. (2021). Effect of Different Selection Criteria on Performance, Carcass and Meat Quality of Nellore Young Bulls. Agriculture. 11(4). 294–294. 3 indexed citations
15.
Antonelo, Daniel Silva, Mariane Beline, Paulo Fantinato Neto, et al.. (2021). Feeding strategies impact animal growth and beef color and tenderness. Meat Science. 183. 108599–108599. 25 indexed citations
16.
Antonelo, Daniel Silva, Mariane Beline, Saulo da Luz e Silva, et al.. (2021). Variations in Intramuscular Fat Content and Profile in Angus × Nellore Steers Under Different Feeding Strategies Contribute to Color and Tenderness Development in Longissimus thoracis. Meat and Muscle Biology. 6(1). 5 indexed citations
17.
Beline, Mariane, Daniel Silva Antonelo, Nara Regina Brandão Cônsolo, et al.. (2020). Muscle fiber type, postmortem metabolism, and meat quality of Nellore cattle with different post-weaning growth potential. Livestock Science. 244. 104348–104348. 11 indexed citations
18.
Antonelo, Daniel Silva, Rodrigo Silva Goulart, Mariane Beline, et al.. (2020). Performance, carcass traits, meat quality and composition of non-castrated Nellore and crossbred male cattle fed soybean oil. Livestock Science. 236. 104059–104059. 11 indexed citations
19.
Matarneh, Sulaiman K., Jennifer Elgin, Mariane Beline, et al.. (2018). Phosphofructokinase and mitochondria partially explain the high ultimate pH of broiler pectoralis major muscle. Poultry Science. 97(5). 1808–1817. 21 indexed citations
20.
Matarneh, Sulaiman K., Mariane Beline, Saulo da Luz e Silva, Hao Shi, & David E. Gerrard. (2017). Mitochondrial F1-ATPase extends glycolysis and pH decline in an in vitro model. Meat Science. 137. 85–91. 39 indexed citations

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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