Stella C. Junqueira

419 total citations
8 papers, 341 citations indexed

About

Stella C. Junqueira is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Oncology. According to data from OpenAlex, Stella C. Junqueira has authored 8 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pathology and Forensic Medicine, 2 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Stella C. Junqueira's work include Multiple Sclerosis Research Studies (3 papers), Adenosine and Purinergic Signaling (2 papers) and Essential Oils and Antimicrobial Activity (2 papers). Stella C. Junqueira is often cited by papers focused on Multiple Sclerosis Research Studies (3 papers), Adenosine and Purinergic Signaling (2 papers) and Essential Oils and Antimicrobial Activity (2 papers). Stella C. Junqueira collaborates with scholars based in Brazil and United Kingdom. Stella C. Junqueira's co-authors include Adair R.S. Santos, Rafael C. Dutra, João Β. Calixto, Maurício P. Cunha, Vicente Lieberknecht, Ana Lúcia S. Rodrigues, Priscila S. Souza, Talita Tuon, Alcir Luiz Dafré and Maíra Cola and has published in prestigious journals such as Journal of Neurochemistry, Journal of Ethnopharmacology and Behavioural Brain Research.

In The Last Decade

Stella C. Junqueira

8 papers receiving 337 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stella C. Junqueira Brazil 7 89 82 67 66 54 8 341
Xiaotian Xu China 9 114 1.3× 172 2.1× 80 1.2× 30 0.5× 25 0.5× 13 413
Danijela Laketa Serbia 12 95 1.1× 119 1.5× 44 0.7× 22 0.3× 25 0.5× 25 337
Onésia Cristina Oliveira‐Lima Brazil 11 141 1.6× 128 1.6× 57 0.9× 64 1.0× 29 0.5× 20 429
Xiao-Xia Fang China 9 85 1.0× 64 0.8× 88 1.3× 22 0.3× 21 0.4× 15 286
Amir Ghanbari Iran 12 141 1.6× 65 0.8× 41 0.6× 69 1.0× 39 0.7× 19 426
Kévin Carvalho France 10 99 1.1× 179 2.2× 117 1.7× 19 0.3× 73 1.4× 16 401
Emmanuel Villanueva United States 3 105 1.2× 290 3.5× 85 1.3× 23 0.3× 110 2.0× 3 477
Kenji Kawabe Japan 13 161 1.8× 128 1.6× 117 1.7× 21 0.3× 71 1.3× 23 486
Enji Zhang South Korea 11 132 1.5× 75 0.9× 157 2.3× 22 0.3× 14 0.3× 19 388

Countries citing papers authored by Stella C. Junqueira

Since Specialization
Citations

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

Fields of papers citing papers by Stella C. Junqueira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stella C. Junqueira. 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 Stella C. Junqueira. The network helps show where Stella C. Junqueira may publish in the future.

Co-authorship network of co-authors of Stella C. Junqueira

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

All Works

8 of 8 papers shown
1.
Junqueira, Stella C., et al.. (2023). Guanosine increases global SUMO1‐ylation in the hippocampus of young and aged mice and improves the short‐term memory of young mice. Journal of Neurochemistry. 168(8). 1503–1513. 2 indexed citations
2.
Junqueira, Stella C., Eduarda Gervini Zampieri Centeno, Kevin A. Wilkinson, & Helena Cimarosti. (2018). Post-translational modifications of Parkinson's disease-related proteins: Phosphorylation, SUMOylation and Ubiquitination. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1865(8). 2001–2007. 33 indexed citations
4.
Souza, Priscila S., Giulia S. Pedroso, Hémelin Resende Farias, et al.. (2016). Physical Exercise Attenuates Experimental Autoimmune Encephalomyelitis by Inhibiting Peripheral Immune Response and Blood-Brain Barrier Disruption. Molecular Neurobiology. 54(6). 4723–4737. 143 indexed citations
5.
Lieberknecht, Vicente, Stella C. Junqueira, Maurício P. Cunha, et al.. (2016). Pramipexole, a Dopamine D2/D3 Receptor-Preferring Agonist, Prevents Experimental Autoimmune Encephalomyelitis Development in Mice. Molecular Neurobiology. 54(2). 1033–1045. 53 indexed citations
6.
Lieberknecht, Vicente, Maurício P. Cunha, Stella C. Junqueira, et al.. (2016). Antidepressant-like effect of pramipexole in an inflammatory model of depression. Behavioural Brain Research. 320. 365–373. 39 indexed citations
7.
Junqueira, Stella C., Vicente Lieberknecht, Maurício P. Cunha, et al.. (2016). Inosine, an Endogenous Purine Nucleoside, Suppresses Immune Responses and Protects Mice from Experimental Autoimmune Encephalomyelitis: a Role for A2A Adenosine Receptor. Molecular Neurobiology. 54(5). 3271–3285. 42 indexed citations
8.
Simões, Róli Rodrigues, Stella C. Junqueira, Ademir F. Morel, et al.. (2015). Pharmacological evidence favouring the traditional use of the root bark of Condalia buxifolia Reissek in the relief of pain and inflammation in mice. Journal of Ethnopharmacology. 175. 370–377. 7 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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