Gabriel Miranda Nava

1.1k citations
24 papers · 918 indexed · h-index 15
Topics
Growth Hormone and Insulin-like Growth Factors (4 papers)Retinal Diseases and Treatments (3 papers)Hypothalamic control of reproductive hormones (3 papers)

In The Last Decade

Gabriel Miranda Nava

21 papers receiving 886 citations

Peers

Gabriel Miranda Nava
Comparison fields: 5 of 99
  • Molecular Biology 224
  • Endocrinology, Diabetes and Metabolism 186
  • Social Psychology 159
  • Behavioral Neuroscience 121
  • Reproductive Medicine 119
Replace Fumiaki Cho with:
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Countries citing papers authored by Gabriel Miranda Nava

Since Specialization
Citations

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

Fields of papers citing papers by Gabriel Miranda Nava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gabriel Miranda Nava. 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 Gabriel Miranda Nava. The network helps show where Gabriel Miranda Nava may publish in the future.

Co-authorship network of co-authors of Gabriel Miranda Nava

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriel Miranda Nava. A scholar is included among the top collaborators of Gabriel Miranda Nava 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 Gabriel Miranda Nava. Gabriel Miranda Nava 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
Calidad de vida en pacientes diabéticos a través del uso de la escala DQOL. Hospital Militar Regional de Puebla, 2012
0
2 27
3 3
4
CONFLICTOS QUE SE PRESENTAN DENTRO DE LOS EQUIPOS DE TRABAJO EN MEXICO
1
5
Myoclonic epilepsy with ragged red fibers
2
6 46
7 30
8
La calidad de vida de los pacientes epilépticos determinada por la aplicación de la escala QOLIE-31
3
9 10
10 63
11 57
12 118
13 73
14 52
15
Distrofia muscular oculofaríngea: informe del caso clínico de una familia y revisión en la literatura
1
16 31
17 176
18
Expression of prolactin gene and secretion of prolactin by rat retinal capillary endothelial cells.
37
19 46
20 14

About Gabriel Miranda Nava

Gabriel Miranda Nava is a scholar working on Reproductive Medicine, Ophthalmology and Behavioral Neuroscience, having authored 24 papers that have together received 918 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (4 papers), Retinal Diseases and Treatments (3 papers) and Hypothalamic control of reproductive hormones (3 papers). The work is most often cited by research in Behavioral Neuroscience (121 citations), Reproductive Medicine (119 citations) and Endocrine and Autonomic Systems (84 citations). Gabriel Miranda Nava has collaborated with scholars based in Mexico, United States and Germany. Frequent co-authors include Carmen Clapp, Gonzalo Martı́nez de la Escalera, Luz Torner, Inga D. Neumann, Nicola Toschi, Todd R. Callaway, L.R. Bielke, José Carlos Rivera, Yazmín Macotela and Jorge Aranda. Their work appears in journals such as Journal of Biological Chemistry, Journal of Cell Science and FEBS Letters.

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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