G. M. Machado

456 citations
12 papers · 337 · h-index 8

Impact in

Papers in

G. M. Machado

12 papers receiving 329 citations

Peers

G. M. Machado
Comparison fields: 5 of 47
  • Reproductive Medicine 189
  • Public Health, Environmental and Occupational Health 258
  • Agronomy and Crop Science 73
  • Genetics 128
  • Physiology 10
Replace J.F. Cox with:
J.F. Cox Chile
Ivo Pivato Brazil
M.A. Nowshari Germany
Lucia Boccia Italy
A.M. Brad United States
M. G. Catalá Spain
S. Matoba Japan
Ignacio Cabeza del Salvador Spain
Naiara Zoccal Saraiva Brazil
S. Chaubal United States
G. M. Machado relative to J.F. Cox Chile J.F. Cox's profile →
Citations per field
00.5×1.5×1.8×
J.F. Cox · 1×
Citations per year

Countries citing papers authored by G. M. Machado

Since Specialization
Citations

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

Fields of papers citing papers by G. M. Machado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside G. M. Machado, 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 G. M. Machado Line = papers co-authored together G. M. Machado links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2009121
2 201093
3 201336
4 201428
5 201022
6 201012
7 20069
8 20087
9 20095
10 20072
11 20081
12 20091

About G. M. Machado

G. M. Machado is a scholar working on Public Health, Environmental and Occupational Health, Genetics, Molecular Biology, Reproductive Medicine and Agronomy and Crop Science, having authored 12 papers that have together received 337 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (9 papers), Animal Genetics and Reproduction (4 papers), Sperm and Testicular Function (4 papers), Reproductive Physiology in Livestock (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), Renal and related cancers (2 papers), Epigenetics and DNA Methylation (1 paper) and Congenital Ear and Nasal Anomalies (1 paper). The work is most often cited by research in Reproductive Medicine (189 citations), Public Health, Environmental and Occupational Health (258 citations), Agronomy and Crop Science (73 citations), Genetics (128 citations) and Physiology (10 citations). G. M. Machado has collaborated with scholars based in Brazil and United States. Frequent co-authors include Margot Alves Nunes Dode, J. O. Carvalho, Maurício Machaim Franco, R. Rumpf, Roberto Sartori, Ester Siqueira Caixeta, Gérson Barreto Mourão, José Felipe Warmling Sprícigo, Carolina Madeira Lucci and Eduardo O. Melo. Their work appears in journals such as Reproduction Fertility and Development, Theriogenology, Veterinary Pathology, Molecular Human 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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