Gladys L. Caldeira

550 total citations
9 papers, 435 citations indexed

About

Gladys L. Caldeira is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Gladys L. Caldeira has authored 9 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 4 papers in Molecular Biology and 3 papers in Physiology. Recurrent topics in Gladys L. Caldeira's work include Neuroscience and Neuropharmacology Research (5 papers), Alzheimer's disease research and treatments (3 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). Gladys L. Caldeira is often cited by papers focused on Neuroscience and Neuropharmacology Research (5 papers), Alzheimer's disease research and treatments (3 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). Gladys L. Caldeira collaborates with scholars based in Portugal, Canada and United Kingdom. Gladys L. Caldeira's co-authors include A. Cristina Rego, Ildete L. Ferreira, Catarina R. Oliveira, Ana Luı́sa Carvalho, João Peça, Cláudia Pereira, Rui O. Costa, Ana Catarina R. G. Fonseca, Sandra I. Mota and Catarina Cunha and has published in prestigious journals such as Nature Communications, Journal of Neurochemistry and Current Opinion in Neurobiology.

In The Last Decade

Gladys L. Caldeira

8 papers receiving 430 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gladys L. Caldeira Portugal 7 224 127 112 47 44 9 435
Yeojin Bang South Korea 14 183 0.8× 83 0.7× 127 1.1× 51 1.1× 18 0.4× 19 527
Kenichi Kakefuda Japan 9 201 0.9× 66 0.5× 116 1.0× 49 1.0× 37 0.8× 12 399
Yoo Sung Kim South Korea 11 145 0.6× 104 0.8× 129 1.2× 20 0.4× 25 0.6× 16 443
Andrés Jiménez Spain 14 287 1.3× 105 0.8× 238 2.1× 31 0.7× 21 0.5× 25 652
Weiguo Dong China 13 142 0.6× 224 1.8× 45 0.4× 25 0.5× 26 0.6× 21 468
Damien Toulorge France 9 201 0.9× 96 0.8× 168 1.5× 17 0.4× 16 0.4× 9 561
Piotr Chmielarz Poland 14 301 1.3× 94 0.7× 231 2.1× 13 0.3× 17 0.4× 28 720
Shane Rowley United States 12 360 1.6× 142 1.1× 385 3.4× 16 0.3× 57 1.3× 13 778
Xinxing Yu United States 11 238 1.1× 431 3.4× 122 1.1× 14 0.3× 51 1.2× 11 700

Countries citing papers authored by Gladys L. Caldeira

Since Specialization
Citations

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

Fields of papers citing papers by Gladys L. Caldeira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gladys L. Caldeira. 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 Gladys L. Caldeira. The network helps show where Gladys L. Caldeira may publish in the future.

Co-authorship network of co-authors of Gladys L. Caldeira

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

All Works

9 of 9 papers shown
2.
Ferreira, Ildete L., et al.. (2024). Linking activation of synaptic NMDA receptors‐induced CREB signaling to brief exposure of cortical neurons to oligomeric amyloid‐beta peptide. Journal of Neurochemistry. 169(1). e16222–e16222. 1 indexed citations
3.
Caldeira, Gladys L., Ângela Inácio, Joana R. Guedes, et al.. (2022). Aberrant hippocampal transmission and behavior in mice with a stargazin mutation linked to intellectual disability. Molecular Psychiatry. 27(5). 2457–2469. 9 indexed citations
4.
Guedes, Joana R., M. Carvalho, Xianhua Gao, et al.. (2019). Abnormal mGluR-mediated synaptic plasticity and autism-like behaviours in Gprasp2 mutant mice. Nature Communications. 10(1). 1431–1431. 40 indexed citations
5.
Caldeira, Gladys L., João Peça, & Ana Luı́sa Carvalho. (2019). New insights on synaptic dysfunction in neuropsychiatric disorders. Current Opinion in Neurobiology. 57. 62–70. 45 indexed citations
6.
Louros, Susana R., Gladys L. Caldeira, & Ana Luı́sa Carvalho. (2018). Stargazin Dephosphorylation Mediates Homeostatic Synaptic Downscaling of Excitatory Synapses. Frontiers in Molecular Neuroscience. 11. 328–328. 15 indexed citations
7.
Naia, Luana, Tatiana R. Rosenstock, Ana M. Oliveira, et al.. (2016). Comparative Mitochondrial-Based Protective Effects of Resveratrol and Nicotinamide in Huntington’s Disease Models. Molecular Neurobiology. 54(7). 5385–5399. 109 indexed citations
8.
Mota, Sandra I., Rui O. Costa, Ildete L. Ferreira, et al.. (2015). Oxidative stress involving changes in Nrf2 and ER stress in early stages of Alzheimer's disease. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1852(7). 1428–1441. 154 indexed citations
9.
Caldeira, Gladys L., Ildete L. Ferreira, & A. Cristina Rego. (2013). Impaired Transcription in Alzheimer's Disease: Key Role in Mitochondrial Dysfunction and Oxidative Stress. Journal of Alzheimer s Disease. 34(1). 115–131. 62 indexed citations

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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