M. S. Lopes

2.2k total citations
29 papers, 1.2k citations indexed

About

M. S. Lopes is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, M. S. Lopes has authored 29 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Plant Science, 12 papers in Genetics and 6 papers in Molecular Biology. Recurrent topics in M. S. Lopes's work include Horticultural and Viticultural Research (9 papers), Genetic diversity and population structure (8 papers) and Genetic and phenotypic traits in livestock (6 papers). M. S. Lopes is often cited by papers focused on Horticultural and Viticultural Research (9 papers), Genetic diversity and population structure (8 papers) and Genetic and phenotypic traits in livestock (6 papers). M. S. Lopes collaborates with scholars based in Portugal, Austria and Germany. M. S. Lopes's co-authors include Artur da Câmara Machado, Kristina M. Sefc, D. Mendonça, Margit Laimer, Margarida Rodrigues Santos, Herta Steinkellner, Hadwig Wagner, François Lefort, Kalliopi A. Roubelakis–Angelakis and I. Pejić and has published in prestigious journals such as SHILAP Revista de lepidopterología, Molecular Ecology and Theoretical and Applied Genetics.

In The Last Decade

M. S. Lopes

27 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. S. Lopes Portugal 14 876 480 413 314 271 29 1.2k
Artur da Câmara Machado Portugal 21 1.3k 1.5× 324 0.7× 459 1.1× 169 0.5× 767 2.8× 64 1.8k
D. Mendonça Portugal 13 489 0.6× 165 0.3× 327 0.8× 62 0.2× 193 0.7× 27 768
Silvia Vezzulli Italy 20 990 1.1× 422 0.9× 98 0.2× 108 0.3× 368 1.4× 49 1.2k
Graham Collins Australia 21 904 1.0× 136 0.3× 195 0.5× 12 0.0× 726 2.7× 55 1.3k
Summaira Riaz United States 25 2.1k 2.4× 1.1k 2.2× 199 0.5× 458 1.5× 516 1.9× 72 2.2k
Eva Zyprian Germany 28 2.1k 2.4× 1.1k 2.2× 210 0.5× 330 1.1× 713 2.6× 72 2.4k
Delphine Sicard France 27 883 1.0× 904 1.9× 217 0.5× 66 0.2× 675 2.5× 52 1.8k
Dario Copetti United States 15 907 1.0× 262 0.5× 244 0.6× 24 0.1× 456 1.7× 34 1.2k
Beatriz Herrera‐Malaver Belgium 14 453 0.5× 664 1.4× 76 0.2× 68 0.2× 500 1.8× 28 1.1k
Angela M. Baldo United States 16 1.2k 1.4× 89 0.2× 228 0.6× 25 0.1× 486 1.8× 26 1.5k

Countries citing papers authored by M. S. Lopes

Since Specialization
Citations

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

Fields of papers citing papers by M. S. Lopes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. S. Lopes

This figure shows the co-authorship network connecting the top 25 collaborators of M. S. Lopes. A scholar is included among the top collaborators of M. S. Lopes 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 M. S. Lopes. M. S. Lopes 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.
Parsons, Jonathan, Jordi Riudavets, & M. S. Lopes. (2025). Assessing the efficacy and generational stability of commercial transgenic maize resistance against key stored-product insect pests. Journal of Pest Science. 98(3). 1541–1550. 2 indexed citations
2.
Lopes, M. S., Andreas Ihle, Élvio Rúbio Gouveia, Adilson Marques, & Cíntia França. (2024). Analyzing Parental Involvement in Youth Basketball. Sports. 12(12). 350–350.
4.
Lopes, M. S., et al.. (2023). First Report of Cucumber Mosaic Virus Infecting Azorina vidalii in Azores Islands. Plant Disease. 107(9). 2896–2896.
5.
Lopes, M. S., et al.. (2023). Morphological and genetic characterization of the Graciosa donkey breed. Journal of Applied Animal Research. 51(1). 166–173. 1 indexed citations
6.
Lopes, M. S., et al.. (2015). Morphological and genetic characterization of an emerging Azorean horse breed: the Terceira Pony. Frontiers in Genetics. 6. 62–62. 11 indexed citations
7.
Mendonça, D., et al.. (2015). In vitro propagation of Picconia azorica (Tutin) Knobl. (Oleaceae) an Azorean endangered endemic plant species. Acta Physiologiae Plantarum. 37(3). 3 indexed citations
8.
Lopes, M. S., et al.. (2013). Diagnosis of Theileria equi infections in horses in the Azores using cELISA and nested PCR. Ticks and Tick-borne Diseases. 4(3). 242–245. 29 indexed citations
9.
Metzger, Julia, U. Philipp, M. S. Lopes, et al.. (2013). Analysis of copy number variants by three detection algorithms and their association with body size in horses. BMC Genomics. 14(1). 487–487. 47 indexed citations
10.
Baron, Erica Elias, M. S. Lopes, D. Mendonça, & Artur da Câmara Machado. (2011). SNP identification and polymorphism analysis in exon 2 of the horse myostatin gene. Animal Genetics. 43(2). 229–232. 15 indexed citations
11.
Lopes, M. S. & Matthew Reynolds. (2010). Dissecting drought adaptation into its phenotypic and genetic components in wheat. Aspects of applied biology. 105(105). 7–11. 11 indexed citations
12.
Felicetti, Michela, M. S. Lopes, Artur da Câmara Machado, et al.. (2010). Genetic diversity in the Maremmano horse and its relationship with other European horse breeds. Animal Genetics. 41(s2). 53–55. 17 indexed citations
13.
Lopes, M. S., Ulrike S. Diesterbeck, Artur da Câmara Machado, & O. Distl. (2010). Refinement of quantitative trait loci on equine chromosome 10 for radiological signs of navicular disease in Hanoverian warmblood horses. Animal Genetics. 41(s2). 36–40. 2 indexed citations
14.
Lopes, M. S., D. Mendonça, Margarida Rodrigues Santos, José Eiras‐Dias, & Artur da Câmara Machado. (2009). New insights on the genetic basis of Portuguese grapevine and on grapevine domestication. Genome. 52(9). 790–800. 40 indexed citations
15.
Lopes, M. S., Ulrike S. Diesterbeck, Artur da Câmara Machado, & O. Distl. (2009). Fine mapping a quantitative trait locus on horse chromosome 2 associated with radiological signs of navicular disease in Hanoverian warmblood horses. Animal Genetics. 40(6). 955–957. 5 indexed citations
16.
Lopes, M. S., et al.. (2006). Discrimination of Portuguese grapevines based on microsatellite markers. Journal of Biotechnology. 127(1). 34–44. 44 indexed citations
17.
Lopes, M. S., et al.. (2005). The Lusitano horse maternal lineage based on mitochondrial D‐loop sequence variation. Animal Genetics. 36(3). 196–202. 43 indexed citations
18.
Sefc, Kristina M., M. S. Lopes, D. Mendonça, et al.. (2000). Identification of microsatellite loci in olive (Olea europaea) and their characterization in Italian and Iberian olive trees. Molecular Ecology. 9(8). 1171–1173. 319 indexed citations
19.
Sefc, Kristina M., M. S. Lopes, François Lefort, et al.. (2000). Microsatellite variability in grapevine cultivars from different European regions and evaluation of assignment testing to assess the geographic origin of cultivars. Theoretical and Applied Genetics. 100(3-4). 498–505. 269 indexed citations
20.
Lopes, M. S., et al.. (1999). The use of microsatellites for germplasm management in a Portuguese grapevine collection. Theoretical and Applied Genetics. 99(3-4). 733–739. 117 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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