M.A. Gil

125 papers receiving 3.0k citations

Peers

M.A. Gil
Comparison fields: 5 of 100
  • Reproductive Medicine 2.1k
  • Public Health, Environmental and Occupational Health 2.5k
  • Physiology 271
  • Agronomy and Crop Science 571
  • Genetics 811
Replace Cristina Cuello with:
Cristina Cuello Spain
Inmaculada Parrilla Spain
C. E. Pope United States
D. Rath Germany
J.S. Vicente Spain
J. Gadea Spain
Pilar Coy Spain
B. N. Day United States
H. Woelders Netherlands
Takeshige Otoi Japan
M.A. Gil relative to Cristina Cuello Spain Cristina Cuello's profile →
Citations per field
00.5×1.5×1.8×
Cristina Cuello · 1×
Citations per year

Countries citing papers authored by M.A. Gil

Since Specialization
Citations

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

Fields of papers citing papers by M.A. Gil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M.A. Gil, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M.A. Gil Line = papers co-authored together M.A. Gil links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005165
2 2004140
3 2010100
4 200293
5 201491
6 200186
7 200779
8 200371
9 201270
10 200664
11 200360
12 200456
13 201155
14 200850
15 201449
16 200448
17 201545
18 200844
19 200544
20 200344

About M.A. Gil

M.A. Gil is a scholar working on Public Health, Environmental and Occupational Health, Reproductive Medicine, Genetics, Molecular Biology and Agronomy and Crop Science, having authored 131 papers that have together received 3.2k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (114 papers), Sperm and Testicular Function (76 papers), Animal Genetics and Reproduction (31 papers), Pluripotent Stem Cells Research (20 papers), Reproductive Physiology in Livestock (19 papers), Ovarian function and disorders (17 papers), Reproductive Health and Technologies (15 papers) and Reproductive System and Pregnancy (12 papers). The work is most often cited by research in Reproductive Medicine (2.1k citations), Public Health, Environmental and Occupational Health (2.5k citations), Physiology (271 citations), Agronomy and Crop Science (571 citations) and Genetics (811 citations). M.A. Gil has collaborated with scholars based in Spain, Sweden and United States. Frequent co-authors include Emilio A. Martı́nez, Jordi Roca, J.M. Vázquez, Inmaculada Parrilla, Cristina Cuello, Heriberto Rodríguez‐Martínez, C. Almiñana, Xiomara Lucas, Cristina A. Martínez and J. Sánchez-Osorio. Their work appears in journals such as Theriogenology, Reproduction in Domestic Animals, Animal Reproduction Science, Reproduction Fertility and Development and Scientific Reports.

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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