Graça Baltazar

2.0k citations
53 papers · 1.5k · h-index 21

Impact in

  • Neurology top 2%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Parkinson's Disease Mechanisms and Treatments
    • Neurogenesis and neuroplasticity mechanisms

Papers in

Graça Baltazar

52 papers receiving 1.5k citations

Peers

Graça Baltazar
Comparison fields: 5 of 95
  • Neurology 335
  • Developmental Neuroscience 152
  • Cellular and Molecular Neuroscience 471
  • Biological Psychiatry 58
  • Neurology 314
Replace Qian Jiang with:
Qian Jiang China
Mariaelena Repici Italy
Jee Y. Lee South Korea
Pascal Dournaud France
Marianna Storto Italy
David Virley United Kingdom
Stephan Brecht Germany
Katarzyna Kuter Poland
Jae‐Hong Kim South Korea
Graça Baltazar relative to Qian Jiang China Qian Jiang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Graça Baltazar

Since Specialization
Citations

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

Fields of papers citing papers by Graça Baltazar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012148
2 2013147
3 2009141
4 2012103
5 200883
6 201570
7 202159
8 200851
9 200651
10 201544
11 201743
12 201238
13 201736
14 200933
15 201932
16 200832
17 202330
18 200630
19 200826
20 201523

About Graça Baltazar

Graça Baltazar is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Neurology, Neurology and Genetics, having authored 53 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (12 papers), Nerve injury and regeneration (10 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Neuroscience and Neuropharmacology Research (6 papers), Nuclear Receptors and Signaling (6 papers), Estrogen and related hormone effects (6 papers), Receptor Mechanisms and Signaling (5 papers) and Neuroscience and Neural Engineering (5 papers). The work is most often cited by research in Neurology (335 citations), Developmental Neuroscience (152 citations), Cellular and Molecular Neuroscience (471 citations), Biological Psychiatry (58 citations) and Neurology (314 citations). Graça Baltazar has collaborated with scholars based in Portugal, United States and Spain. Frequent co-authors include Ana Clara Cristóvão, Emı́lia P. Duarte, Filipa L. Campos, Carla P. Fonseca, Ana Saavedra, Sandra M. Rocha, Liliana Bernardino, Yoon-Seong Kim, M. Flint Beal and Dong-Hee Choi. Their work appears in journals such as International Journal of Molecular Sciences, Neurobiology of Disease, Cellular and Molecular Neurobiology, Journal of Visualized Experiments and Brain Research.

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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