M.C. Gil

71 papers receiving 1.6k citations

Peers

M.C. Gil
Comparison fields: 5 of 95
  • Reproductive Medicine 1.1k
  • Physiology 205
  • Public Health, Environmental and Occupational Health 906
  • Equine 35
  • Microbiology 100
Replace Wojciech Niżański with:
Wojciech Niżański Poland
Elisabeth Pinart Spain
L. Fraser Poland
J. Strzeżek Poland
Zamira Gibb Australia
M. Briz Spain
S. Sancho Spain
M. Wallgren Sweden
Władysław Kordan Poland
Mongkol Techakumphu Thailand
M.C. Gil relative to Wojciech Niżański Poland Wojciech Niżański's profile →
Citations per field
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Wojciech Niżański · 1×
Citations per year

Countries citing papers authored by M.C. Gil

Since Specialization
Citations

This map shows the geographic impact of M.C. 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.C. 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.C. Gil more than expected).

Fields of papers citing papers by M.C. Gil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M.C. 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.C. Gil Line = papers co-authored together M.C. Gil links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200889
2 201975
3 201172
4 200571
5 201270
6 201663
7 202156
8 200756
9 201354
10 200453
11 201448
12 202045
13 200544
14 200639
15 201438
16 201335
17 200734
18 200633
19 200333
20 200931

About M.C. Gil

M.C. Gil is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health, Molecular Biology, Physiology and Epidemiology, having authored 76 papers that have together received 1.7k indexed citations. Recurring topics across this work include Sperm and Testicular Function (49 papers), Reproductive Biology and Fertility (43 papers), Reproductive biology and impacts on aquatic species (10 papers), Ovarian function and disorders (7 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers), Reproductive Physiology in Livestock (6 papers), Microbial infections and disease research (5 papers) and Pancreatic function and diabetes (4 papers). The work is most often cited by research in Reproductive Medicine (1.1k citations), Physiology (205 citations), Public Health, Environmental and Occupational Health (906 citations), Equine (35 citations) and Microbiology (100 citations). M.C. Gil has collaborated with scholars based in Spain, Sweden and United States. Frequent co-authors include Luis García, Fernando J. Peña, Marı́a J. Bragado, I.M. Aparicio, Cristina Ortega‐Ferrusola, David Martín‐Hidalgo, José M. Ortiz-Rodríguez, Manuel García‐Herreros, Francisco E. Martín‐Cano and Ana Hurtado de Llera. Their work appears in journals such as Theriogenology, Animal Reproduction Science, Reproduction, Biology of Reproduction and Reproduction in Domestic Animals.

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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