María do Mar Oom

1.2k total citations
32 papers, 660 citations indexed

About

María do Mar Oom is a scholar working on Genetics, Molecular Biology and Small Animals. According to data from OpenAlex, María do Mar Oom has authored 32 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Genetics, 7 papers in Molecular Biology and 4 papers in Small Animals. Recurrent topics in María do Mar Oom's work include Genetic and phenotypic traits in livestock (18 papers), Genetic diversity and population structure (17 papers) and Identification and Quantification in Food (4 papers). María do Mar Oom is often cited by papers focused on Genetic and phenotypic traits in livestock (18 papers), Genetic diversity and population structure (17 papers) and Identification and Quantification in Food (4 papers). María do Mar Oom collaborates with scholars based in Portugal, United States and Spain. María do Mar Oom's co-authors include Cristina Luı́s, E. Gus Cothran, Luı́s Vicente, Rytis Juras, Maria João Collares‐Pereira, L.T. Gama, Joana Malta-Vacas, Francisco Petrucci‐Fonseca, Gus Cothran and O. Distl and has published in prestigious journals such as PLoS ONE, Journal of Archaeological Science and European Journal of Epidemiology.

In The Last Decade

María do Mar Oom

32 papers receiving 623 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
María do Mar Oom Portugal 16 422 142 134 87 75 32 660
Teresa Abáigar Spain 17 382 0.9× 24 0.2× 373 2.8× 65 0.7× 184 2.5× 44 1.1k
Mélanie Pruvost France 13 565 1.3× 57 0.4× 273 2.0× 276 3.2× 12 0.2× 24 1.1k
Frank Goeritz Germany 20 248 0.6× 28 0.2× 246 1.8× 147 1.7× 132 1.8× 43 821
Bruce Read United States 12 580 1.4× 13 0.1× 282 2.1× 79 0.9× 68 0.9× 23 823
G.W. Asher New Zealand 20 372 0.9× 32 0.2× 529 3.9× 51 0.6× 128 1.7× 50 985
Kristin Leus Belgium 15 165 0.4× 12 0.1× 266 2.0× 67 0.8× 123 1.6× 46 573
Vera Warmuth Germany 12 384 0.9× 31 0.2× 105 0.8× 203 2.3× 10 0.1× 15 577
Xavier Rognon France 23 796 1.9× 15 0.1× 196 1.5× 189 2.2× 78 1.0× 53 1.3k
R. Achmann Austria 18 546 1.3× 65 0.5× 131 1.0× 213 2.4× 4 0.1× 26 929
Tetsuro Nomura Japan 13 634 1.5× 10 0.1× 91 0.7× 65 0.7× 21 0.3× 77 744

Countries citing papers authored by María do Mar Oom

Since Specialization
Citations

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

Fields of papers citing papers by María do Mar Oom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María do Mar Oom. 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 María do Mar Oom. The network helps show where María do Mar Oom may publish in the future.

Co-authorship network of co-authors of María do Mar Oom

This figure shows the co-authorship network connecting the top 25 collaborators of María do Mar Oom. A scholar is included among the top collaborators of María do Mar Oom 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 María do Mar Oom. María do Mar Oom 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.
Adega, Filomena, Terje Raudsepp, Maria João Collares‐Pereira, et al.. (2018). Comparative Chromosome Painting in Genets (Carnivora, Viverridae, <b><i>Genetta</i></b>), the Only Known Feliforms with a Highly Rearranged Karyotype. Cytogenetic and Genome Research. 156(1). 35–44. 3 indexed citations
2.
Cortés, O., S. Dunner, L.T. Gama, et al.. (2017). The legacy of Columbus in American horse populations assessed by microsatellite markers. Journal of Animal Breeding and Genetics. 134(4). 340–350. 22 indexed citations
3.
Oom, María do Mar, et al.. (2016). Fertility Assessment in Sorraia Stallions by Sperm‐Fish and Fkbp6 Genotyping. Reproduction in Domestic Animals. 51(3). 351–359. 2 indexed citations
4.
Adega, Filomena, et al.. (2016). Classical and Molecular Cytogenetics of the Panther Genet <b><i>Genetta maculata</i></b> (Mammalia, Carnivora, Viverridae). Cytogenetic and Genome Research. 149(4). 274–281. 4 indexed citations
5.
Rebordão, Maria Rosa, et al.. (2016). In vivo fertilizing ability of stallion spermatozoa processed by single layer centrifugation with Androcoll-E™. Saudi Journal of Biological Sciences. 24(7). 1489–1496. 3 indexed citations
6.
Landi, Vincenzo, Amparo Martínez, Juan Vicente Delgado Bermejo, et al.. (2016). Genetic diversity of the semi-feral Marismeño horse breed assessed with microsatellites. Italian Journal of Animal Science. 16(1). 14–21. 7 indexed citations
7.
Warmuth, Vera, Anders Eriksson, Mim A. Bower, et al.. (2011). European Domestic Horses Originated in Two Holocene Refugia. PLoS ONE. 6(3). e18194–e18194. 58 indexed citations
8.
Warmuth, Vera, Anders Eriksson, Mim A. Bower, et al.. (2011). Correction: European Domestic Horses Originated in Two Holocene Refugia. PLoS ONE. 6(5). 7 indexed citations
9.
Pires, Ana Elisabete, Isabel R. Amorim, Catarina Ginja, et al.. (2009). Molecular structure in peripheral dog breeds: Portuguese native breeds as a case study. Animal Genetics. 40(4). 383–392. 12 indexed citations
10.
Luı́s, Cristina, et al.. (2008). Genetic variation in BoLA microsatellite loci in Portuguese cattle breeds. Animal Genetics. 40(1). 101–105. 3 indexed citations
11.
Luı́s, Cristina, Rytis Juras, María do Mar Oom, & E. Gus Cothran. (2007). Genetic diversity and relationships of Portuguese and other horse breeds based on protein and microsatellite loci variation. Animal Genetics. 38(1). 20–27. 79 indexed citations
12.
Luı́s, Cristina, E. Gus Cothran, & María do Mar Oom. (2007). Inbreeding and Genetic Structure in the Endangered Sorraia Horse Breed: Implications for its Conservation and Management. Journal of Heredity. 98(3). 232–237. 42 indexed citations
13.
Oom, María do Mar, et al.. (2006). Social relationships in a herd of Sorraia horses. Behavioural Processes. 73(3). 231–239. 61 indexed citations
14.
Luı́s, Cristina, et al.. (2006). Iberian Origins of New World Horse Breeds. Journal of Heredity. 97(2). 107–113. 52 indexed citations
15.
Luı́s, Cristina, et al.. (2006). A lost Sorraia maternal lineage found in the Lusitano horse breed. Journal of Animal Breeding and Genetics. 123(6). 399–402. 14 indexed citations
16.
Oom, María do Mar, et al.. (2005). Genetic Structure of an Endangered Portuguese Semiferal Pony Breed, the Garrano. Biochemical Genetics. 43(7-8). 347–364. 25 indexed citations
17.
Luı́s, Cristina, E. Gus Cothran, María do Mar Oom, & E. Bailey. (2005). Major histocompatibility complex locus DRA polymorphism in the endangered Sorraia horse and related breeds. Journal of Animal Breeding and Genetics. 122(1). 69–72. 18 indexed citations
18.
Valera, M., et al.. (2000). La Raça Equina Autóctone Puro Sangue Lusitano: Estudo genético dos parâmetros reproductivos de importância nos esquemas de conservaçao e melhoramento.. Archivos de Zootecnia. 49(186). 147–156. 6 indexed citations
19.
Collares‐Pereira, Maria João, H Korver, W. J. Terpstra, et al.. (1997). First epidemiological data on pathogenic leptospires isolated on the Azorean islands. European Journal of Epidemiology. 13(4). 435–441. 24 indexed citations
20.
Oom, María do Mar, et al.. (1996). Bacteriogical evidence of leptospira infetion in wild mammals from Azores archipelago, Portugal (short report). 46. 1 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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