Anita Čarija

495 total citations
9 papers, 384 citations indexed

About

Anita Čarija is a scholar working on Physiology, Neurology and Molecular Biology. According to data from OpenAlex, Anita Čarija has authored 9 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Physiology, 5 papers in Neurology and 3 papers in Molecular Biology. Recurrent topics in Anita Čarija's work include Alzheimer's disease research and treatments (8 papers), Parkinson's Disease Mechanisms and Treatments (5 papers) and Protein Structure and Dynamics (2 papers). Anita Čarija is often cited by papers focused on Alzheimer's disease research and treatments (8 papers), Parkinson's Disease Mechanisms and Treatments (5 papers) and Protein Structure and Dynamics (2 papers). Anita Čarija collaborates with scholars based in Spain, Germany and United Kingdom. Anita Čarija's co-authors include Salvador Ventura, Susanna Navarro, Tiago F. Outeiro, Francisca Pinheiro, Diana F. Lázaro, Jordi Pujols, Esther Dalfó, Samuel Peña‐Díaz, Jesús García and Xavier Salvatella and has published in prestigious journals such as Proceedings of the National Academy of Sciences, European Journal of Medicinal Chemistry and Redox Biology.

In The Last Decade

Anita Čarija

9 papers receiving 383 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anita Čarija Spain 8 245 198 125 87 33 9 384
Richard M. Meade United Kingdom 7 222 0.9× 151 0.8× 150 1.2× 79 0.9× 42 1.3× 12 395
José D. Camino Spain 6 256 1.0× 214 1.1× 157 1.3× 82 0.9× 42 1.3× 7 431
Kevin J. Barnham Australia 7 227 0.9× 262 1.3× 202 1.6× 87 1.0× 63 1.9× 13 496
Daniel Weckbecker Germany 11 260 1.1× 180 0.9× 220 1.8× 141 1.6× 53 1.6× 15 546
Luis Fonseca‐Ornelas Germany 10 289 1.2× 189 1.0× 151 1.2× 134 1.5× 58 1.8× 13 458
Michael M. Wördehoff Germany 11 174 0.7× 224 1.1× 180 1.4× 44 0.5× 34 1.0× 17 379
Woo Shik Shin United States 5 305 1.2× 319 1.6× 200 1.6× 63 0.7× 48 1.5× 13 526
Rani Moons Belgium 7 182 0.7× 202 1.0× 152 1.2× 58 0.7× 17 0.5× 9 369
Eftychia Vasili Germany 9 214 0.9× 171 0.9× 104 0.8× 80 0.9× 63 1.9× 12 367
Ronit Shaltiel‐Karyo Israel 11 161 0.7× 232 1.2× 213 1.7× 94 1.1× 34 1.0× 14 491

Countries citing papers authored by Anita Čarija

Since Specialization
Citations

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

Fields of papers citing papers by Anita Čarija

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anita Čarija

This figure shows the co-authorship network connecting the top 25 collaborators of Anita Čarija. A scholar is included among the top collaborators of Anita Čarija 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 Anita Čarija. Anita Čarija 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
1.
Čarija, Anita, Francisca Pinheiro, Valentín Iglesias, & Salvador Ventura. (2019). Computational Assessment of Bacterial Protein Structures Indicates a Selection Against Aggregation. Cells. 8(8). 856–856. 9 indexed citations
2.
Čarija, Anita, Francisca Pinheiro, Jordi Pujols, et al.. (2019). Biasing the native α-synuclein conformational ensemble towards compact states abolishes aggregation and neurotoxicity. Redox Biology. 22. 101135–101135. 24 indexed citations
3.
Peña‐Díaz, Samuel, Jordi Pujols, Anita Čarija, et al.. (2019). ZPD-2, a Small Compound That Inhibits α-Synuclein Amyloid Aggregation and Its Seeded Polymerization. Frontiers in Molecular Neuroscience. 12. 306–306. 31 indexed citations
4.
Pujols, Jordi, Samuel Peña‐Díaz, Diana F. Lázaro, et al.. (2018). Small molecule inhibits α-synuclein aggregation, disrupts amyloid fibrils, and prevents degeneration of dopaminergic neurons. Proceedings of the National Academy of Sciences. 115(41). 10481–10486. 175 indexed citations
5.
Čarija, Anita, Susanna Navarro, Natalia Sánchez de Groot, & Salvador Ventura. (2017). Protein aggregation into insoluble deposits protects from oxidative stress. Redox Biology. 12. 699–711. 32 indexed citations
6.
Lázaro, Diana F., Mariana Castro Dias, Anita Čarija, et al.. (2016). The effects of the novel A53E alpha-synuclein mutation on its oligomerization and aggregation. Acta Neuropathologica Communications. 4(1). 128–128. 31 indexed citations
7.
Villar‐Piqué, Anna, Tomás Lopes da Fonseca, Ricardo Sant’Anna, et al.. (2016). Environmental and genetic factors support the dissociation between α-synuclein aggregation and toxicity. Proceedings of the National Academy of Sciences. 113(42). E6506–E6515. 73 indexed citations
8.
Čarija, Anita, Susanna Navarro, & Salvador Ventura. (2016). Data on correlation between Aβ42 structural aggregation propensity and toxicity in bacteria. Data in Brief. 7. 143–147. 1 indexed citations
9.
Navarro, Susanna, Anita Čarija, Diego Muñoz‐Torrero, & Salvador Ventura. (2015). A fast and specific method to screen for intracellular amyloid inhibitors using bacterial model systems. European Journal of Medicinal Chemistry. 121. 785–792. 8 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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