M.G. Gil

842 citations
45 papers · 645 indexed · h-index 15

M.G. Gil

41 papers receiving 595 citations

Peers

M.G. Gil
Comparison fields: 5 of 85
  • Animal Science and Zoology 377
  • Developmental Biology 59
  • Small Animals 169
  • Reproductive Medicine 86
  • Physiology 27
Replace S.G. Dávila with:
S.G. Dávila Spain
P. D. Lewis United Kingdom
Avi Rosenstrauch Israel
G. Beuving Belgium
C. McCorquodale United Kingdom
K. L. Bunter Australia
A. Gómez-Brunet Spain
J Faure France
K.A. Uitdehaag Netherlands
D. L. Kuhlers United States
M.G. Gil relative to S.G. Dávila Spain S.G. Dávila's profile →
Citations per field
00.5×3.3×
S.G. Dávila · 1×
Citations per year

Countries citing papers authored by M.G. Gil

Since Specialization
Citations

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

Fields of papers citing papers by M.G. Gil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20237
3 20224
4 20219
5 202020
6 201810
7 20177
8 20162
9 20124
10 201150
11 20101
12 200949
13 20077
14 200742
15
The genetics of three welfare indicators: tonic immobility duration, heterophil to lymphocyte ratio, and fluctuating asymmetry.
20064
16 20051
17 20052
18 200515
19 200542
20 200129

About M.G. Gil

M.G. Gil is a scholar working on Animal Science and Zoology, Small Animals, Physiology, Reproductive Medicine and Geometry and Topology, having authored 45 papers that have together received 645 indexed citations. Recurring topics across this work include Animal Nutrition and Physiology (22 papers), Animal Behavior and Welfare Studies (10 papers), Sperm and Testicular Function (8 papers), Morphological variations and asymmetry (8 papers), Livestock and Poultry Management (7 papers), Reproductive biology and impacts on aquatic species (6 papers), Genetic and phenotypic traits in livestock (5 papers) and Reproductive Biology and Fertility (4 papers). The work is most often cited by research in Animal Science and Zoology (377 citations), Developmental Biology (59 citations), Small Animals (169 citations), Reproductive Medicine (86 citations) and Physiology (27 citations). M.G. Gil has collaborated with scholars based in Spain, France and Netherlands. Frequent co-authors include J.L. Campo, S.G. Dávila, Iciar Muñoz, Olga Torres, J. Santiago‐Moreno, Cristina Castaño, María T. Prieto‐Sánchez, Adolfo Toledano‐Díaz, A. López-Sebastián and Élisabeth Blesbois. Their work appears in journals such as Poultry Science, Applied Animal Behaviour Science, British Poultry Science, Annals of Oncology and Journal of Animal Breeding and Genetics.

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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