Romina E. Araya

1.1k total citations · 1 hit paper
8 papers, 734 citations indexed

About

Romina E. Araya is a scholar working on Immunology, Oncology and Gastroenterology. According to data from OpenAlex, Romina E. Araya has authored 8 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 3 papers in Oncology and 3 papers in Gastroenterology. Recurrent topics in Romina E. Araya's work include Immune cells in cancer (3 papers), Celiac Disease Research and Management (3 papers) and Immune Cell Function and Interaction (3 papers). Romina E. Araya is often cited by papers focused on Immune cells in cancer (3 papers), Celiac Disease Research and Management (3 papers) and Immune Cell Function and Interaction (3 papers). Romina E. Araya collaborates with scholars based in Argentina, United States and Canada. Romina E. Araya's co-authors include Romina S. Goldszmid, Amélie Lopès, Maxwell P. Lee, April Huang, Catharine M. Bosio, Benjamin Schwarz, Eric Bohrnsen, Martina Di Modica, Khiem C. Lam and Sarah B. Johnson and has published in prestigious journals such as Cell, The Journal of Immunology and PLoS ONE.

In The Last Decade

Romina E. Araya

8 papers receiving 731 citations

Hit Papers

Microbiota triggers STING-type I IFN-dependent monocyte r... 2021 2026 2022 2024 2021 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Romina E. Araya Argentina 8 341 292 269 124 92 8 734
Hideki Osawa Japan 11 222 0.7× 257 0.9× 134 0.5× 49 0.4× 94 1.0× 28 650
Daehee Han South Korea 11 593 1.7× 351 1.2× 174 0.6× 36 0.3× 65 0.7× 12 978
Kimberley V. Walburg Netherlands 10 253 0.7× 153 0.5× 148 0.6× 40 0.3× 49 0.5× 16 537
Yanru Ma China 12 98 0.3× 664 2.3× 161 0.6× 25 0.2× 70 0.8× 18 930
Axel Dignaß Germany 8 173 0.5× 192 0.7× 111 0.4× 49 0.4× 243 2.6× 24 605
Vincent O’Reilly Ireland 10 441 1.3× 154 0.5× 141 0.5× 25 0.2× 104 1.1× 15 780
Ghaith Bakdash Netherlands 16 676 2.0× 220 0.8× 238 0.9× 15 0.1× 42 0.5× 23 934
Ian J. Bristol United States 10 240 0.7× 209 0.7× 189 0.7× 40 0.3× 245 2.7× 13 798
Rut Mora‐Buch Spain 8 356 1.0× 209 0.7× 207 0.8× 23 0.2× 91 1.0× 13 710
Emmanuelle Godefroy United States 15 555 1.6× 238 0.8× 203 0.8× 12 0.1× 30 0.3× 25 838

Countries citing papers authored by Romina E. Araya

Since Specialization
Citations

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

Fields of papers citing papers by Romina E. Araya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Romina E. Araya. 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 Romina E. Araya. The network helps show where Romina E. Araya may publish in the future.

Co-authorship network of co-authors of Romina E. Araya

This figure shows the co-authorship network connecting the top 25 collaborators of Romina E. Araya. A scholar is included among the top collaborators of Romina E. Araya 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 Romina E. Araya. Romina E. Araya 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.
Lam, Khiem C., Romina E. Araya, April Huang, et al.. (2021). Microbiota triggers STING-type I IFN-dependent monocyte reprogramming of the tumor microenvironment. Cell. 184(21). 5338–5356.e21. 401 indexed citations breakdown →
2.
Araya, Romina E. & Romina S. Goldszmid. (2019). Characterization of the tumor immune infiltrate by multiparametric flow cytometry and unbiased high-dimensional data analysis. Methods in enzymology on CD-ROM/Methods in enzymology. 632. 309–337. 7 indexed citations
3.
Ziblat, Andrea, Nicolás I. Torres, Jessica Mariel Sierra, et al.. (2017). Human M2 Macrophages Limit NK Cell Effector Functions through Secretion of TGF-β and Engagement of CD85j. The Journal of Immunology. 200(3). 1008–1015. 65 indexed citations
4.
Iraolagoitia, Ximena L. Raffo, Raúl G. Spallanzani, Nicolás I. Torres, et al.. (2016). NK Cells Restrain Spontaneous Antitumor CD8+ T Cell Priming through PD-1/PD-L1 Interactions with Dendritic Cells. The Journal of Immunology. 197(3). 953–961. 86 indexed citations
5.
Araya, Romina E., María Florencia Gómez Castro, Paula Carasi, et al.. (2016). Mechanisms of innate immune activation by gluten peptide p31-43 in mice. American Journal of Physiology-Gastrointestinal and Liver Physiology. 311(1). G40–G49. 39 indexed citations
6.
Araya, Romina E., Jennifer Jury, Constanza Bondar, Elena F. Verdú, & Fernando G. Chirdo. (2014). Intraluminal Administration of Poly I:C Causes an Enteropathy That Is Exacerbated by Administration of Oral Dietary Antigen. PLoS ONE. 9(6). e99236–e99236. 22 indexed citations
7.
Bondar, Constanza, et al.. (2014). Role of CXCR3/CXCL10 Axis in Immune Cell Recruitment into the Small Intestine in Celiac Disease. PLoS ONE. 9(2). e89068–e89068. 59 indexed citations
8.
Galipeau, Heather J., Nestor E. Rulli, Jennifer Jury, et al.. (2011). Sensitization to Gliadin Induces Moderate Enteropathy and Insulitis in Nonobese Diabetic-DQ8 Mice. The Journal of Immunology. 187(8). 4338–4346. 55 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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