Roxana Loperena

2.0k total citations
10 papers, 768 citations indexed

About

Roxana Loperena is a scholar working on Nutrition and Dietetics, Immunology and Molecular Biology. According to data from OpenAlex, Roxana Loperena has authored 10 papers receiving a total of 768 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Nutrition and Dietetics, 4 papers in Immunology and 3 papers in Molecular Biology. Recurrent topics in Roxana Loperena's work include Sodium Intake and Health (4 papers), Blood Pressure and Hypertension Studies (2 papers) and Immune cells in cancer (2 papers). Roxana Loperena is often cited by papers focused on Sodium Intake and Health (4 papers), Blood Pressure and Hypertension Studies (2 papers) and Immune cells in cancer (2 papers). Roxana Loperena collaborates with scholars based in United States, Poland and United Kingdom. Roxana Loperena's co-authors include David G. Harrison, Liang Xiao, Hana A. Itani, Raymond L. Mernaugh, Jason D. Foss, Annet Kirabo, Wei Chen, Sergey Dikalov, Natália R. Barbaro and Jens Titze and has published in prestigious journals such as Blood, Circulation Research and The FASEB Journal.

In The Last Decade

Roxana Loperena

10 papers receiving 760 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Roxana Loperena United States	7	315	206	163	152	144	10	768
Justin P. Van Beusecum United States	13	304 1.0×	200 1.0×	162 1.0×	203 1.3×	261 1.8×	30	927
Jaimar C. Rincon Venezuela	17	259 0.8×	204 1.0×	189 1.2×	254 1.7×	168 1.2×	43	1.1k
Hicham Labazi United States	10	134 0.4×	219 1.1×	214 1.3×	107 0.7×	111 0.8×	25	673
Shalini M Krishnan Australia	8	285 0.9×	227 1.1×	202 1.2×	285 1.9×	398 2.8×	9	1.0k
Mayerly Nava Venezuela	7	229 0.7×	134 0.7×	149 0.9×	74 0.5×	75 0.5×	8	646
Anna Konior Poland	7	113 0.4×	154 0.7×	87 0.5×	207 1.4×	165 1.1×	9	681
Natália R. Barbaro Brazil	15	530 1.7×	431 2.1×	310 1.9×	221 1.5×	262 1.8×	32	1.3k
Aleksandar Kibel Croatia	13	120 0.4×	244 1.2×	109 0.7×	69 0.5×	124 0.9×	49	704
Dale A. Kinzenbaw United States	16	137 0.4×	227 1.1×	95 0.6×	196 1.3×	227 1.6×	19	845
Avshalom Leibowitz Israel	18	164 0.5×	290 1.4×	274 1.7×	68 0.4×	256 1.8×	58	1.1k

Countries citing papers authored by Roxana Loperena

Since Specialization

Citations

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

Fields of papers citing papers by Roxana Loperena

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roxana Loperena

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

All Works

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10 of 10 papers shown

Baxter, Sally L., Bharanidharan Radha Saseendrakumar, Paulina Paul, et al.. (2021). Predictive Analytics for Glaucoma Using Data From the All of Us Research Program. American Journal of Ophthalmology. 227. 74–86. 38 indexed citations

Beusecum, Justin P. Van, Natália R. Barbaro, Charles D Smart, et al.. (2021). Growth Arrest Specific-6 and Axl Coordinate Inflammation and Hypertension. Circulation Research. 129(11). 975–991. 29 indexed citations

Loperena, Roxana, Justin P. Van Beusecum, Hana A. Itani, et al.. (2018). Hypertension and increased endothelial mechanical stretch promote monocyte differentiation and activation: roles of STAT3, interleukin 6 and hydrogen peroxide. Cardiovascular Research. 114(11). 1547–1563. 139 indexed citations

Carmo, Luciana S, et al.. (2018). Abstract P160: Hypertension is Associated With Monocytes Activation in the Blood in Mice and Humans. Hypertension. 72(Suppl_1). 2 indexed citations

Barbaro, Natália R., Jason D. Foss, Dmytro O. Kryshtal, et al.. (2017). Dendritic Cell Amiloride-Sensitive Channels Mediate Sodium-Induced Inflammation and Hypertension. Cell Reports. 21(4). 1009–1020. 216 indexed citations

Loperena, Roxana, et al.. (2017). Abstract 063: Mechanical Stretch on Endothelial Cells Promotes Monocyte Activation and Differentiation into Immunogenic Dendritic Cells via STAT3. Hypertension. 70(suppl_1). 1 indexed citations

Loperena, Roxana & David G. Harrison. (2016). Oxidative Stress and Hypertensive Diseases. Medical Clinics of North America. 101(1). 169–193. 143 indexed citations

Xiao, Liang, Annet Kirabo, Jing Wu, et al.. (2015). Renal Denervation Prevents Immune Cell Activation and Renal Inflammation in Angiotensin II–Induced Hypertension. Circulation Research. 117(6). 547–557. 189 indexed citations

Kirabo, Annet, Vanessa Fontana, Sean S. Davies, et al.. (2014). Dendritic cell superoxide and isoketals activate T cells and promote angiotensin II hypertension (1153.2). The FASEB Journal. 28(S1). 2 indexed citations

10.

Dusaban, Stephanie S., et al.. (2011). The c-Myb target gene neuromedin U functions as a novel cofactor during the early stages of erythropoiesis. Blood. 117(21). 5733–5743. 9 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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