Sergio Veiga

23 papers receiving 1.4k citations

Peers

Sergio Veiga
Comparison fields: 5 of 100
  • Behavioral Neuroscience 321
  • Developmental Neuroscience 179
  • Neurology 284
  • Biological Psychiatry 68
  • Endocrinology, Diabetes and Metabolism 420
Replace Bernard Eychenne with:
Bernard Eychenne France
Thuy‐Vi V. Nguyen United States
Zaorui Zhao United States
Eva Küppers Germany
Jun Ming Wang United States
Pamela J. McMillan United States
Gérard Alonso France
Gunther Kauselmann Germany
Paulina Roig Argentina
Christophe Crochemore Italy
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Citations per field
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Citations per year

Countries citing papers authored by Sergio Veiga

Since Specialization
Citations

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

Fields of papers citing papers by Sergio Veiga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001224
2 2002219
3 2003156
4 2007153
5 2003119
6 200589
7 200372
8 200361
9 200755
10 200453
11 200650
12 200642
13 200537
14 200331
15 201817
16 200415
17 202010
18 20049
19 20106
20 20184

About Sergio Veiga

Sergio Veiga is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience, Behavioral Neuroscience and Neurology, having authored 24 papers that have together received 1.4k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (11 papers), Menopause: Health Impacts and Treatments (6 papers), Stress Responses and Cortisol (6 papers), Hypothalamic control of reproductive hormones (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Hereditary Neurological Disorders (3 papers) and Nerve injury and regeneration (3 papers). The work is most often cited by research in Behavioral Neuroscience (321 citations), Developmental Neuroscience (179 citations), Neurology (284 citations), Biological Psychiatry (68 citations) and Endocrinology, Diabetes and Metabolism (420 citations). Sergio Veiga has collaborated with scholars based in Spain, Italy and United States. Frequent co-authors include Luis Miguel García‐Segura, Íñigo Azcoitia, Amanda Sierra, Daniel García‐Ovejero, Roberto Cosimo Melcangi, Lydia L. DonCarlos, Nobuhiro Harada, Shin‐ichiro Honda, George E. Barreto and Emanuela Leonelli. Their work appears in journals such as Scientific Reports, Progress in Neurobiology, Hormone Research in Paediatrics, Alzheimer s Research & Therapy and European Journal of Neuroscience.

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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