G Vaca

44 papers receiving 381 citations

Peers

G Vaca
Comparison fields: 5 of 63
  • Pediatrics, Perinatology and Child Health 174
  • Developmental Biology 14
  • Genetics 131
  • Clinical Biochemistry 30
  • Genetics 41
Replace D.A. Beckman with:
D.A. Beckman United States
Kyrieckos A. Aleck United States
Richard L. Neu United States
A. Bou� France
A Fidanza United Kingdom
G Fioretti Italy
Ira S. Salafsky United States
Jai Rup Singh India
Martin B. Lee Singapore
Kazuso Iinuma Japan
G Vaca relative to D.A. Beckman United States D.A. Beckman's profile →
Citations per field
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D.A. Beckman · 1×
Citations per year

Countries citing papers authored by G Vaca

Since Specialization
Citations

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

Fields of papers citing papers by G Vaca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199242
2 199240
3 197731
4 198224
5
Trisomy 22q12 leads to qter: "aneusomie de recombinaison" of a pericentric inversion.
198123
6 198722
7 198221
8 198019
9 198117
10
Tetrasomy 9p: clinical aspects and enzymatic gene dosage expression.
198217
11
Partial trisomy and monosomy 21 in an infant with an unusual de novo 21/21 translocation.
198016
12 198012
13 198310
14 19849
15 19839
16 19819
17 19818
18
Bloom syndrome in a Mexican mestizo girl.
19867
19
Abnormal hemoglobins in Northwestern Mexico.
19827
20 19926

About G Vaca

G Vaca is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health, Physiology, Clinical Biochemistry and Surgery, having authored 49 papers that have together received 415 indexed citations. Recurring topics across this work include Neonatal Health and Biochemistry (11 papers), Metabolism and Genetic Disorders (11 papers), Erythrocyte Function and Pathophysiology (9 papers), Aldose Reductase and Taurine (7 papers), Genomic variations and chromosomal abnormalities (6 papers), Hemoglobinopathies and Related Disorders (4 papers), Pancreatic function and diabetes (4 papers) and Amino Acid Enzymes and Metabolism (4 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (174 citations), Developmental Biology (14 citations), Genetics (131 citations), Clinical Biochemistry (30 citations) and Genetics (41 citations). G Vaca has collaborated with scholars based in Mexico, United States and Ecuador. Frequent co-authors include B Ibarra, Jaime Font de Mora, J. M. Cantú, Beryl Westwood, JT Prchal, Luciano Baronciani, Ernest Beutler, Cantú Jm, Horacio Rivera and J. M. Cant�. Their work appears in journals such as Human Genetics, Journal of Bacteriology, Blood, Acta Paediatrica and Atherosclerosis Supplements.

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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