J.A. Vega

35 papers receiving 622 citations

Peers

J.A. Vega
Comparison fields: 5 of 86
  • Cancer Research 120
  • Neurology 65
  • Cellular and Molecular Neuroscience 147
  • Developmental Neuroscience 28
  • Behavioral Neuroscience 18
Replace Colin T. Maguire with:
Colin T. Maguire United States
Naomi L. Baker Australia
Josée Prud’homme Canada
CA Bondy United States
Françoise Gofflot Belgium
Silvia Maretto Italy
Christopher J. Krebs United States
L. Gerhard Germany
Sanda Iacobaş United States
David Ramonet Spain
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Citations per field
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Citations per year

Countries citing papers authored by J.A. Vega

Since Specialization
Citations

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

Fields of papers citing papers by J.A. Vega

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Collagenase-3 (MMP-13) is expressed during human fetal ossification and re-expressed in postnatal bone remodeling and in rheumatoid arthritis.
1997207
2 199241
3
Presence of catecholamine-related enzymes in a subpopulation of primary sensory neurons in dorsal root ganglia of the rat.
199130
4 199629
5 199526
6 199525
7 199125
8 199124
9 199517
10 199316
11 199416
12 200113
13 199613
14 197013
15 199412
16 199412
17 200811
18 199411
19
Expression of cytoskeletal proteins in glial cells of dorsal root ganglia.
198911
20 199510

About J.A. Vega

J.A. Vega is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Cognitive Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 35 papers that have together received 641 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Pain Mechanisms and Treatments (3 papers), Neurobiology and Insect Physiology Research (3 papers), Alzheimer's disease research and treatments (3 papers), Skin and Cellular Biology Research (3 papers), Neuropeptides and Animal Physiology (3 papers), Neuroendocrine regulation and behavior (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Cancer Research (120 citations), Neurology (65 citations), Cellular and Molecular Neuroscience (147 citations), Developmental Neuroscience (28 citations) and Behavioral Neuroscience (18 citations). J.A. Vega has collaborated with scholars based in Spain, Italy and Argentina. Frequent co-authors include Francesco Amenta, Alberto Rícci, Carlos López-Otı́n, Anders Lindahl, María Jiménez, Mona Ståhle‐Bäckdahl, K.D. Bruce, Bengt Sandstedt, D Zaccheo and Miguel del Valle Soto. Their work appears in journals such as Mechanisms of Ageing and Development, Journal of Neuroimmunology, The Anatomical Record, General and Comparative Endocrinology and Annals of Anatomy - Anatomischer Anzeiger.

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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