Maite La Vega‐Talbott

516 citations
13 papers · 314 indexed · h-index 8
Topics
Epilepsy research and treatment (8 papers)Neurological disorders and treatments (5 papers)Neonatal and fetal brain pathology (4 papers)
Journals
SHILAP Revista de lepidopterologíaNeurologyNeurosurgery
Partner nations
United States

In The Last Decade

Maite La Vega‐Talbott

12 papers receiving 314 citations

Peers

Maite La Vega‐Talbott
Comparison fields: 5 of 41
  • Neurology 184
  • Psychiatry and Mental health 170
  • Cellular and Molecular Neuroscience 101
  • Neurology 100
  • Cognitive Neuroscience 66
Replace Elisabetta Cesaroni with:
Elisabetta Cesaroni Italy
Marcelo Bartuluchi Argentina
Ariane Veilleux Carpentier United States
Marie-Andrée Panzini Canada
Maria Roberta Cilio Italy
Ahmed Abdelmoity United States
Ester Cuenca-León Spain
Hrisimir Kostov Norway
István Balás Hungary
David G. Brohawn United States
Maite La Vega‐Talbott relative to Elisabetta Cesaroni Italy Elisabetta Cesaroni's profile →
Citations per field
00.5×1.7×
Elisabetta Cesaroni · 1×
Citations per year

Countries citing papers authored by Maite La Vega‐Talbott

Since Specialization
Citations

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

Fields of papers citing papers by Maite La Vega‐Talbott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maite La Vega‐Talbott. 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 Maite La Vega‐Talbott. The network helps show where Maite La Vega‐Talbott may publish in the future.

Co-authorship network of co-authors of Maite La Vega‐Talbott

This figure shows the co-authorship network connecting the top 25 collaborators of Maite La Vega‐Talbott. A scholar is included among the top collaborators of Maite La Vega‐Talbott 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 Maite La Vega‐Talbott. Maite La Vega‐Talbott is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 4
2 0
3 3
4 29
5 40
6 60
7 68
8 3
9 18
10 4
11 26
12 49
13 10

About Maite La Vega‐Talbott

Maite La Vega‐Talbott is a scholar working on Psychiatry and Mental health, Neurology and Cellular and Molecular Neuroscience, having authored 13 papers that have together received 314 indexed citations. Recurring topics across this work include Epilepsy research and treatment (8 papers), Neurological disorders and treatments (5 papers) and Neonatal and fetal brain pathology (4 papers). The work is most often cited by research in Neurology (100 citations), Neurology (184 citations) and Psychiatry and Mental health (170 citations). Maite La Vega‐Talbott has collaborated with scholars based in United States. Frequent co-authors include Saadi Ghatan, Fedor Panov, Steven M. Wolf, Patricia E. McGoldrick, Gail E. Solomon, Syed Hosain, Madeline Fields, Lara Marcuse, Churl‐Su Kwon and Alexander J. Schüpper. Their work appears in journals such as SHILAP Revista de lepidopterología, Neurology and Neurosurgery.

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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