Alicia Collado-Hidalgo

849 total citations
7 papers, 663 citations indexed

About

Alicia Collado-Hidalgo is a scholar working on Oncology, Behavioral Neuroscience and Immunology. According to data from OpenAlex, Alicia Collado-Hidalgo has authored 7 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 2 papers in Behavioral Neuroscience and 2 papers in Immunology. Recurrent topics in Alicia Collado-Hidalgo's work include Stress Responses and Cortisol (2 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (2 papers) and Immune Cell Function and Interaction (2 papers). Alicia Collado-Hidalgo is often cited by papers focused on Stress Responses and Cortisol (2 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (2 papers) and Immune Cell Function and Interaction (2 papers). Alicia Collado-Hidalgo collaborates with scholars based in United States and Japan. Alicia Collado-Hidalgo's co-authors include Steve W. Cole, Michael R. Irwin, Julienne E. Bower, Patricia A. Ganz, Caroline Y. Sung, Tatyana Yufit, Milton W. Taylor, Weihua Yuan, John Varga and Zoran Galić and has published in prestigious journals such as Genes & Development, Journal of Virology and Clinical Cancer Research.

In The Last Decade

Alicia Collado-Hidalgo

7 papers receiving 648 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alicia Collado-Hidalgo United States 7 313 162 158 124 108 7 663
Bang‐Ning Lee United States 8 408 1.3× 77 0.5× 201 1.3× 137 1.1× 49 0.5× 8 754
Krzysztof Małyszczak Poland 12 295 0.9× 94 0.6× 29 0.2× 44 0.4× 82 0.8× 57 714
David E. McGinnis United States 15 75 0.2× 66 0.4× 292 1.8× 96 0.8× 20 0.2× 25 753
J. Naudin France 12 46 0.1× 109 0.7× 64 0.4× 18 0.1× 252 2.3× 49 684
Nicole L. Johnson United States 15 191 0.6× 21 0.1× 43 0.3× 113 0.9× 17 0.2× 44 858
Nannette A. T. M. Huizenga Netherlands 8 82 0.3× 19 0.1× 94 0.6× 124 1.0× 72 0.7× 8 1.4k
Deepa Anand United States 7 73 0.2× 93 0.6× 48 0.3× 60 0.5× 50 0.5× 14 373
Diana Winston United States 7 128 0.4× 35 0.2× 70 0.4× 68 0.5× 26 0.2× 11 603
Heather L. Benson United States 6 55 0.2× 39 0.2× 100 0.6× 11 0.1× 52 0.5× 8 593
Joana Hygino Brazil 18 59 0.2× 41 0.3× 50 0.3× 15 0.1× 167 1.5× 29 924

Countries citing papers authored by Alicia Collado-Hidalgo

Since Specialization
Citations

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

Fields of papers citing papers by Alicia Collado-Hidalgo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alicia Collado-Hidalgo. 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 Alicia Collado-Hidalgo. The network helps show where Alicia Collado-Hidalgo may publish in the future.

Co-authorship network of co-authors of Alicia Collado-Hidalgo

This figure shows the co-authorship network connecting the top 25 collaborators of Alicia Collado-Hidalgo. A scholar is included among the top collaborators of Alicia Collado-Hidalgo 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 Alicia Collado-Hidalgo. Alicia Collado-Hidalgo 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.
Miranda‐Carboni, Gustavo A., Susan A. Krum, Shehla Pervin, et al.. (2008). A functional link between Wnt signaling and SKP2-independent p27 turnover in mammary tumors. Genes & Development. 22(22). 3121–3134. 66 indexed citations
2.
Collado-Hidalgo, Alicia, Julienne E. Bower, Patricia A. Ganz, Michael R. Irwin, & Steve W. Cole. (2008). Cytokine gene polymorphisms and fatigue in breast cancer survivors: Early findings. Brain Behavior and Immunity. 22(8). 1197–1200. 101 indexed citations
3.
Collado-Hidalgo, Alicia, Julienne E. Bower, Patricia A. Ganz, Steve W. Cole, & Michael R. Irwin. (2006). Inflammatory Biomarkers for Persistent Fatigue in Breast Cancer Survivors. Clinical Cancer Research. 12(9). 2759–2766. 313 indexed citations
4.
Collado-Hidalgo, Alicia, Caroline Y. Sung, & Steve W. Cole. (2006). Adrenergic inhibition of innate anti-viral response: PKA blockade of Type I interferon gene transcription mediates catecholamine support for HIV-1 replication. Brain Behavior and Immunity. 20(6). 552–563. 61 indexed citations
5.
Collado-Hidalgo, Alicia, Julienne E. Bower, Patricia A. Ganz, Steve W. Cole, & Michael R. Irwin. (2006). Inflammatory biomarkers for persistent fatigue in breast cancer survivors. Brain Behavior and Immunity. 20(3). 12–12. 10 indexed citations
6.
Chang, Margaret H., Helen Brown, Alicia Collado-Hidalgo, et al.. (2005). β-Adrenoreceptors Reactivate Kaposi's Sarcoma-Associated Herpesvirus Lytic Replication via PKA-Dependent Control of Viral RTA. Journal of Virology. 79(21). 13538–13547. 45 indexed citations
7.
Yuan, Weihua, Alicia Collado-Hidalgo, Tatyana Yufit, Milton W. Taylor, & John Varga. (1998). Modulation of cellular tryptophan metabolism in human fibroblasts by transforming growth factor-β: Selective inhibition of indoleamine 2,3-dioxygenase and tryptophanyl-tRNA synthetase gene expression. Journal of Cellular Physiology. 177(1). 174–186. 67 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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