María Celeste Leal

878 citations
25 papers · 715 indexed · h-index 14
Topics
Alzheimer's disease research and treatments (11 papers)Neuroinflammation and Neurodegeneration Mechanisms (7 papers)Nerve injury and regeneration (4 papers)

In The Last Decade

María Celeste Leal

25 papers receiving 708 citations

Peers

María Celeste Leal
Comparison fields: 5 of 84
  • Molecular Biology 333
  • Physiology 321
  • Neurology 169
  • Cellular and Molecular Neuroscience 151
  • Neurology 93
Replace Daniel Jiménez-Blasco with:
Daniel Jiménez-Blasco Spain
Seung Jae Hyeon South Korea
Shabnam Baig United Kingdom
Julio Leon Japan
Patrick Wunderlich Germany
Nicha Puangmalai United States
Mary Dabney Davis United States
Mònica Bosch-Morató Spain
Joseph M. Martinez United States
María Celeste Leal relative to Daniel Jiménez-Blasco Spain Daniel Jiménez-Blasco's profile →
Citations per field
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Citations per year

Countries citing papers authored by María Celeste Leal

Since Specialization
Citations

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

Fields of papers citing papers by María Celeste Leal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María Celeste Leal. 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 María Celeste Leal. The network helps show where María Celeste Leal may publish in the future.

Co-authorship network of co-authors of María Celeste Leal

This figure shows the co-authorship network connecting the top 25 collaborators of María Celeste Leal. A scholar is included among the top collaborators of María Celeste Leal 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 María Celeste Leal. María Celeste Leal 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 4
2 3
3 4
4 1
5 13
6 23
7 17
8 49
9 19
10 49
11 13
12 134
13 27
14 18
15 34
16 125
17 37
18 16
19 67
20 5

About María Celeste Leal

María Celeste Leal is a scholar working on Neurology, Developmental Neuroscience and Physiology, having authored 25 papers that have together received 715 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (11 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers) and Nerve injury and regeneration (4 papers). The work is most often cited by research in Biological Psychiatry (52 citations), Neurology (169 citations) and Physiology (321 citations). María Celeste Leal has collaborated with scholars based in Argentina, United States and United Kingdom. Frequent co-authors include Laura Morelli, Eduardo M. Castaño, Fernando J. Pitossi, Mariana Puntel, Huaxi Xu, Carina Cintia Ferrari, Thomas Wısnıewskı, Einar M. Sigurdsson, Verónica Berta Dorfman and Blas Frangione. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Scientific Reports.

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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