A. M. Ramos

1.9k total citations
28 papers, 602 citations indexed

About

A. M. Ramos is a scholar working on Genetics, Animal Science and Zoology and Molecular Biology. According to data from OpenAlex, A. M. Ramos has authored 28 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Genetics, 9 papers in Animal Science and Zoology and 7 papers in Molecular Biology. Recurrent topics in A. M. Ramos's work include Genetic and phenotypic traits in livestock (17 papers), Genetic Mapping and Diversity in Plants and Animals (16 papers) and Meat and Animal Product Quality (6 papers). A. M. Ramos is often cited by papers focused on Genetic and phenotypic traits in livestock (17 papers), Genetic Mapping and Diversity in Plants and Animals (16 papers) and Meat and Animal Product Quality (6 papers). A. M. Ramos collaborates with scholars based in United States, Portugal and Netherlands. A. M. Ramos's co-authors include M. F. Rothschild, R.P.M.A. Crooijmans, Martien A. M. Groenen, M. C. T. Penedo, Ana Usié, Catherine W. Ernst, Hoa T. Truong, Feyruz Yalçin, Michiel J. T. van Eijk and Antoine Janssen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Meat Science.

In The Last Decade

A. M. Ramos

28 papers receiving 586 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. M. Ramos United States 16 317 189 181 152 57 28 602
Fang‐Xi Yang China 12 268 0.8× 204 1.1× 118 0.7× 163 1.1× 79 1.4× 25 588
Thomas Faraut France 14 387 1.2× 277 1.5× 322 1.8× 49 0.3× 73 1.3× 34 749
Mike Kearsey United Kingdom 8 605 1.9× 159 0.8× 519 2.9× 99 0.7× 42 0.7× 9 841
Henrik Hornshøj Denmark 11 143 0.5× 208 1.1× 83 0.5× 60 0.4× 24 0.4× 15 412
Hervé Garreau France 16 286 0.9× 209 1.1× 95 0.5× 427 2.8× 44 0.8× 46 896
Y. H. Wang Australia 10 168 0.5× 168 0.9× 45 0.2× 106 0.7× 32 0.6× 11 376
Maurício A. Mudadu Brazil 16 655 2.1× 265 1.4× 108 0.6× 174 1.1× 196 3.4× 45 945
S. H. Phua New Zealand 13 340 1.1× 264 1.4× 80 0.4× 37 0.2× 23 0.4× 45 531
Takeshi Honda Japan 12 375 1.2× 59 0.3× 67 0.4× 118 0.8× 66 1.2× 38 479
Renata Veroneze Brazil 15 481 1.5× 74 0.4× 109 0.6× 254 1.7× 79 1.4× 77 680

Countries citing papers authored by A. M. Ramos

Since Specialization
Citations

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

Fields of papers citing papers by A. M. Ramos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. M. Ramos

This figure shows the co-authorship network connecting the top 25 collaborators of A. M. Ramos. A scholar is included among the top collaborators of A. M. Ramos 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 A. M. Ramos. A. M. Ramos 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
1.
Ramos, A. M., et al.. (2022). Ovine footrot in Southern Portugal: Detection of Dichelobacter nodosus and Fusobacterium necrophorum in sheep with different lesion scores. Veterinary Microbiology. 266. 109339–109339. 5 indexed citations
2.
Barbosa, Pedro, Ana Usié, A. M. Ramos, et al.. (2018). ChIP-Seq reveals that QsMYB1 directly targets genes involved in lignin and suberin biosynthesis pathways in cork oak (Quercus suber). BMC Plant Biology. 18(1). 198–198. 38 indexed citations
3.
Usié, Ana, Pedro Barbosa, Ana Margarida Fortes, et al.. (2018). Characterization of the cork formation and production transcriptome in Quercus cerris × suber hybrids. Physiology and Molecular Biology of Plants. 24(4). 535–549. 8 indexed citations
4.
Truong, Hoa T., A. M. Ramos, Feyruz Yalçin, et al.. (2012). Sequence-Based Genotyping for Marker Discovery and Co-Dominant Scoring in Germplasm and Populations. PLoS ONE. 7(5). e37565–e37565. 111 indexed citations
5.
Steibel, Juan P., R. O. Bates, Guilherme J. M. Rosa, et al.. (2011). Genome-Wide Linkage Analysis of Global Gene Expression in Loin Muscle Tissue Identifies Candidate Genes in Pigs. PLoS ONE. 6(2). e16766–e16766. 40 indexed citations
6.
Ramos, A. M., Naomi Duijvesteijn, E.F. Knol, et al.. (2011). The distal end of porcine chromosome 6p is involved in the regulation of skatole levels in boars. BMC Genetics. 12(1). 35–35. 20 indexed citations
7.
Hu, Zhi‐Liang, A. M. Ramos, Sean Humphray, et al.. (2011). Use of Genome Sequence Information for Meat Quality Trait QTL Mining for Casual Genes and Mutations on Pig Chromosome 17. SHILAP Revista de lepidopterología. 2. 43–43. 4 indexed citations
8.
Ramos, A. M., Hendrik‐Jan Megens, R.P.M.A. Crooijmans, Lawrence B. Schook, & Martien A. M. Groenen. (2011). Identification of high utility SNPs for population assignment and traceability purposes in the pig using high-throughput sequencing. Animal Genetics. 42(6). 613–620. 49 indexed citations
9.
Steibel, Juan P., Michał Wysocki, Joan K. Lunney, et al.. (2009). Assessment of the swine protein‐annotated oligonucleotide microarray. Animal Genetics. 40(6). 883–893. 24 indexed citations
10.
Ramos, A. M., et al.. (2009). Candidate genes for milk production traits in Portuguese dairy sheep. Small Ruminant Research. 82(2-3). 117–121. 33 indexed citations
11.
Ramos, A. M., et al.. (2008). Genetic markers for the production of US country hams. Journal of Animal Breeding and Genetics. 125(4). 248–257. 20 indexed citations
12.
Martínez, Michelle, G. M. Hill, Nancy E. Raney, et al.. (2008). Gene expression profiling in hepatic tissue of newly weaned pigs fed pharmacological zinc and phytase supplemented diets. BMC Genomics. 9(1). 421–421. 25 indexed citations
13.
Ramos, A. M., et al.. (2007). Analysis of FMO genes and off flavour in pork. Journal of Animal Breeding and Genetics. 124(1). 35–38. 16 indexed citations
14.
Ramos, A. M., T. Serenius, Kenneth J. Stalder, & M. F. Rothschild. (2007). Phenotypic correlations among quality traits of fresh and dry-cured hams. Meat Science. 77(2). 182–189. 16 indexed citations
15.
Ramos, A. M., et al.. (2006). Mapping of 21 genetic markers to a QTL region for meat quality on pig chromosome 17. Animal Genetics. 37(3). 296–297. 11 indexed citations
16.
Ramos, A. M., et al.. (2004). Characterization of an X‐chromosome PCR–RFLP marker associated with fat deposition and growth in the pig. Animal Genetics. 35(5). 401–403. 5 indexed citations
17.
Hu, Zhi‐Liang, et al.. (2004). Expeditor: A Pipeline for Designing Primers Using Human Gene Structure and Livestock Animal EST Information. Journal of Heredity. 96(1). 80–82. 8 indexed citations
18.
Penedo, M. C. T., et al.. (2004). Genetic diversity and differentiation in Portuguese cattle breeds using microsatellites. Animal Genetics. 35(2). 106–113. 57 indexed citations
19.
Ramos, A. M., et al.. (2002). Linkage and physical mapping of the porcine thyroglobulin (TG) gene. Animal Genetics. 33(3). 228–229. 2 indexed citations
20.
Wagner, A., Wanpeng Tan, Kevin J. Chalut, et al.. (2001). Energy resolution and energy–light response of CsI(Tl) scintillators for charged particle detection. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 456(3). 290–299. 25 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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