Gabriela A. Vasques

854 citations
21 papers · 544 indexed · h-index 12
Topics
Growth Hormone and Insulin-like Growth Factors (13 papers)Genetic factors in colorectal cancer (6 papers)Genetic Syndromes and Imprinting (3 papers)
Partner nations
BrazilUnited StatesSpain

In The Last Decade

Gabriela A. Vasques

19 papers receiving 534 citations

Peers

Gabriela A. Vasques
Comparison fields: 5 of 49
  • Genetics 308
  • Endocrinology, Diabetes and Metabolism 293
  • Molecular Biology 291
  • Pathology and Forensic Medicine 74
  • Pediatrics, Perinatology and Child Health 61
Replace Walter Zumkeller with:
Walter Zumkeller Germany
Masamichi Ogawa Japan
Laurence Michel‐Calemard France
James Turton United Kingdom
Mary Anne Berg United States
Alicia S. Martínez Argentina
Güven Toksoy Türkiye
Julia E. Ostberg United Kingdom
Natalie Canham United Kingdom
H. U. Tietze Germany
Gabriela A. Vasques relative to Walter Zumkeller Germany Walter Zumkeller's profile →
Citations per field
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Walter Zumkeller · 1×
Citations per year

Countries citing papers authored by Gabriela A. Vasques

Since Specialization
Citations

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

Fields of papers citing papers by Gabriela A. Vasques

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriela A. Vasques

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriela A. Vasques. A scholar is included among the top collaborators of Gabriela A. Vasques based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gabriela A. Vasques. Gabriela A. Vasques is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 6
3 7
4 8
5 2
6 2
7 9
8 14
9 29
10 9
11 12
12 1
13 52
14 46
15 21
16 14
17 51
18 52
19 102
20 82

About Gabriela A. Vasques

Gabriela A. Vasques is a scholar working on Endocrinology, Diabetes and Metabolism, Developmental Biology and Genetics, having authored 21 papers that have together received 544 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (13 papers), Genetic factors in colorectal cancer (6 papers) and Genetic Syndromes and Imprinting (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (293 citations), Genetics (308 citations) and Developmental Biology (14 citations). Gabriela A. Vasques has collaborated with scholars based in Brazil, United States and Spain. Frequent co-authors include Alexander A.L. Jorge, Ivo J.P. Arnhold, Mariana F.A. Funari, Antônio Marcondes Lerário, Berenice B. Mendonça, Mirian Yumie Nishi, Bruna Lucheze Freire, Tomonobu Hasegawa, Naoko Amano and Everlayny F. Costalonga. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Molecular and Cellular Endocrinology.

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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