M. Flores

593 total citations
40 papers, 415 citations indexed

About

M. Flores is a scholar working on Agronomy and Crop Science, Animal Science and Zoology and Genetics. According to data from OpenAlex, M. Flores has authored 40 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Agronomy and Crop Science, 14 papers in Animal Science and Zoology and 11 papers in Genetics. Recurrent topics in M. Flores's work include Reproductive Physiology in Livestock (18 papers), Effects of Environmental Stressors on Livestock (11 papers) and Genetic and phenotypic traits in livestock (9 papers). M. Flores is often cited by papers focused on Reproductive Physiology in Livestock (18 papers), Effects of Environmental Stressors on Livestock (11 papers) and Genetic and phenotypic traits in livestock (9 papers). M. Flores collaborates with scholars based in Mexico, Spain and Australia. M. Flores's co-authors include A. Agüero, Deborah Margarita Neild, M.T. Beconi, J.A. Delgadillo, José Alfredo Flores, César A. Rosales-Nieto, César A. Meza‐Herrera, H. Hernández, Venancio Cuevas Reyes and Marcelo Miragaya and has published in prestigious journals such as Scientific Reports, Journal of Dairy Science and Journal of Animal Science.

In The Last Decade

M. Flores

36 papers receiving 397 citations

Peers

M. Flores
M. Flores
Citations per year, relative to M. Flores M. Flores (= 1×) peers István Egerszegi

Countries citing papers authored by M. Flores

Since Specialization
Citations

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

Fields of papers citing papers by M. Flores

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Flores

This figure shows the co-authorship network connecting the top 25 collaborators of M. Flores. A scholar is included among the top collaborators of M. Flores 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. Flores. M. Flores 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
4.
Delgadillo, J.A., José Alfredo Flores, Jesús Vielma, et al.. (2021). Milk let‐down in goats can be influenced by the type of stimuli applied or to which goats are exposed during suckling and hand milking. Animal Science Journal. 92(1). e13646–e13646. 1 indexed citations
6.
Rosales-Nieto, César A., Maribel Rodríguez‐Aguilar, Venancio Cuevas Reyes, et al.. (2021). Periconceptional nutrition with spineless cactus (Opuntia ficus-indica) improves metabolomic profiles and pregnancy outcomes in sheep. Scientific Reports. 11(1). 7214–7214. 4 indexed citations
7.
Reyes, Venancio Cuevas, M. Flores, Morteza Hosseini Ghaffari, et al.. (2020). Intake of Spineless Cladodes of Opuntia ficus-indica During Late Pregnancy Improves Progeny Performance in Underfed Sheep. Animals. 10(6). 995–995. 8 indexed citations
9.
Flores, M., et al.. (2020). Milk yield and composition and body weight of offsprings of mixed-breed goats on semi-arid rangelands with different rainfall. Tropical Animal Health and Production. 52(6). 3799–3808. 12 indexed citations
10.
Flores, M., Venancio Cuevas Reyes, César A. Meza‐Herrera, et al.. (2020). Diet selected by goats on xerophytic shrubland with different milk yield potential. Journal of Arid Environments. 186. 104429–104429. 11 indexed citations
11.
Ferrini, Mónica G., et al.. (2019). Exogenous l-ARGININE does not stimulate production OF NO or cGMP within the rat corporal smooth muscle cells in culture. Nitric Oxide. 89. 64–70. 3 indexed citations
12.
Avilés, Ricardo, J.A. Delgadillo, José Alfredo Flores, et al.. (2019). Melatonin administration during the dry period stimulates subsequent milk yield and weight gain of offspring in subtropical does kidding in summer. Journal of Dairy Science. 102(12). 11536–11543. 11 indexed citations
15.
Flores, M., et al.. (2010). Artificial long-day photoperiod in the subtropics increases milk production in goats giving birth in late autumn12. Journal of Animal Science. 89(3). 856–862. 18 indexed citations
16.
Pinto, M., et al.. (2009). Effect of eCG Superstimulation and Buserelin on Cumulus–Oocyte Complexes Recovery and Maturation in Llamas (Lama glama). Reproduction in Domestic Animals. 44(3). 359–364. 17 indexed citations
17.
Cortés, Carmen María Aránzazu Cejudo, et al.. (2003). The effects of superior ovarian nerve sectioning on ovulation in the guinea pig. Reproductive Biology and Endocrinology. 1(1). 61–61. 9 indexed citations
18.
Neild, Deborah Margarita, María G. Cháves, M. Flores, et al.. (2000). The HOS test and its relationship to fertility in the stallion. Andrologia. 32(6). 351–355. 39 indexed citations
19.
Neild, Deborah Margarita, et al.. (1999). Hypoosmotic test in equine spermatozoa. Theriogenology. 51(4). 721–727. 124 indexed citations
20.
Delgadillo, J.A., et al.. (1998). Length of postpartum anestrus in goats in subtropical Mexico: Effect of season of parturition and duration of nursing. Theriogenology. 49(6). 1209–1218. 27 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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