Soledad Urra

430 total citations
7 papers, 326 citations indexed

About

Soledad Urra is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Soledad Urra has authored 7 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Soledad Urra's work include Nerve injury and regeneration (2 papers), Thyroid Cancer Diagnosis and Treatment (2 papers) and interferon and immune responses (1 paper). Soledad Urra is often cited by papers focused on Nerve injury and regeneration (2 papers), Thyroid Cancer Diagnosis and Treatment (2 papers) and interferon and immune responses (1 paper). Soledad Urra collaborates with scholars based in Chile, United States and Belgium. Soledad Urra's co-authors include Francisca C. Bronfman, Marcela Colombres, Nibaldo C. Inestrosa, Bruce Carter, Chhavy Tep, Željka Korade, Rajappa S. Kenchappa, Sung Ok Yoon, Hernán González and Sergio L. Vargas and has published in prestigious journals such as Journal of Biological Chemistry, Oncotarget and Endocrine Related Cancer.

In The Last Decade

Soledad Urra

7 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Soledad Urra Chile 7 124 118 80 52 48 7 326
Yasuhiko Kanou Japan 13 71 0.6× 196 1.7× 74 0.9× 49 0.9× 36 0.8× 17 357
Kristen Frenzel United States 10 64 0.5× 187 1.6× 72 0.9× 31 0.6× 13 0.3× 18 381
Kevin J. Paavola United States 7 255 2.1× 376 3.2× 25 0.3× 36 0.7× 71 1.5× 9 530
Cindy K. Pon Australia 10 113 0.9× 166 1.4× 39 0.5× 15 0.3× 50 1.0× 11 459
Christopher MacKenzie United Kingdom 12 203 1.6× 220 1.9× 23 0.3× 41 0.8× 35 0.7× 16 437
Kazuhiko Namikawa Japan 9 160 1.3× 236 2.0× 16 0.2× 52 1.0× 26 0.5× 9 412
Maria Troullinaki Germany 11 48 0.4× 159 1.3× 28 0.3× 34 0.7× 28 0.6× 15 440
Tracy M. Wright United States 4 160 1.3× 198 1.7× 29 0.4× 33 0.6× 45 0.9× 6 367
Nuria Palacios Spain 11 60 0.5× 118 1.0× 145 1.8× 51 1.0× 53 1.1× 17 338
Ditte Olsen Denmark 8 78 0.6× 106 0.9× 15 0.2× 82 1.6× 85 1.8× 12 318

Countries citing papers authored by Soledad Urra

Since Specialization
Citations

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

Fields of papers citing papers by Soledad Urra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Soledad Urra

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

All Works

7 of 7 papers shown
1.
Vargas, Sergio L., Soledad Urra, José Miguel Domínguez, et al.. (2019). The Combination of RET, BRAF and Demographic Data Identifies Subsets of Patients with Aggressive Papillary Thyroid Cancer. Hormones and Cancer. 10(2-3). 97–106. 8 indexed citations
2.
Vargas, Sergio L., et al.. (2017). Genetic testing for indeterminate thyroid cytology: review and meta-analysis. Endocrine Related Cancer. 25(3). R163–R177. 73 indexed citations
3.
Urra, Soledad, Martin C. Fischer, Antonieta Solar, et al.. (2017). Differential expression profile of CXCR3 splicing variants is associated with thyroid neoplasia. Potential role in papillary thyroid carcinoma oncogenesis?. Oncotarget. 9(2). 2445–2467. 16 indexed citations
4.
Kenchappa, Rajappa S., Chhavy Tep, Željka Korade, et al.. (2010). p75 Neurotrophin Receptor-mediated Apoptosis in Sympathetic Neurons Involves a Biphasic Activation of JNK and Up-regulation of Tumor Necrosis Factor-α-converting Enzyme/ADAM17. Journal of Biological Chemistry. 285(26). 20358–20368. 97 indexed citations
5.
Urra, Soledad, Patricio Ramos, Fernanda Lisbona, et al.. (2007). TrkA Receptor Activation by Nerve Growth Factor Induces Shedding of the p75 Neurotrophin Receptor Followed by Endosomal γ-Secretase-mediated Release of the p75 Intracellular Domain. Journal of Biological Chemistry. 282(10). 7606–7615. 74 indexed citations
6.
Inestrosa, Nibaldo C., Soledad Urra, & Marcela Colombres. (2004). Acetylcholinesterase (AChE) - Amyloid-β-Peptide Complexes in Alzheimers Disease. The Wnt Signaling Pathway. Current Alzheimer Research. 1(4). 249–254. 44 indexed citations
7.
Opazo, Patricio, Ilse Müller, Pablo Valenzuela, et al.. (1999). Serological response to Helicobacter pylori recombinant antigens in Chilean infected patients with duodenal ulcer, non‐ulcer dyspepsia and gastric cancer. Apmis. 107(7-12). 1069–1078. 14 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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