Stephany Vasquez‐Perez

643 total citations
8 papers, 474 citations indexed

About

Stephany Vasquez‐Perez is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Stephany Vasquez‐Perez has authored 8 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Epidemiology. Recurrent topics in Stephany Vasquez‐Perez's work include Gut microbiota and health (4 papers), Immunodeficiency and Autoimmune Disorders (2 papers) and Dietary Effects on Health (2 papers). Stephany Vasquez‐Perez is often cited by papers focused on Gut microbiota and health (4 papers), Immunodeficiency and Autoimmune Disorders (2 papers) and Dietary Effects on Health (2 papers). Stephany Vasquez‐Perez collaborates with scholars based in United States, Australia and Austria. Stephany Vasquez‐Perez's co-authors include Andrey Morgun, Natalia Shulzhenko, Renee L. Greer, Ivan J. Fuss, Warren Strober, Ekaterina Peremyslova, Michael Yao, Xiaoxi Dong, Manoj Gurung and Sandra Roberta G. Ferreira and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and Gastroenterology.

In The Last Decade

Stephany Vasquez‐Perez

8 papers receiving 470 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stephany Vasquez‐Perez United States	6	333	158	73	68	57	8	474
Weronika Ratajczak Poland	6	368 1.1×	124 0.8×	66 0.9×	65 1.0×	71 1.2×	13	565
Willian R. Ribeiro Brazil	8	426 1.3×	247 1.6×	53 0.7×	70 1.0×	73 1.3×	15	646
Rodrigo Aguilera Olvera United States	5	313 0.9×	133 0.8×	48 0.7×	125 1.8×	45 0.8×	7	525
Lingyi Wu China	10	402 1.2×	91 0.6×	61 0.8×	96 1.4×	96 1.7×	18	650
Giulia Pignataro Italy	9	235 0.7×	75 0.5×	51 0.7×	58 0.9×	61 1.1×	20	444
Kees Meijer Netherlands	8	262 0.8×	184 1.2×	101 1.4×	133 2.0×	59 1.0×	16	646
Rohini Emani Finland	7	318 1.0×	98 0.6×	58 0.8×	37 0.5×	61 1.1×	7	460
Michaela C. Stanton United States	6	260 0.8×	146 0.9×	55 0.8×	111 1.6×	51 0.9×	7	471
Jefferson Elias‐Oliveira Brazil	7	240 0.7×	93 0.6×	37 0.5×	36 0.5×	42 0.7×	18	379

Countries citing papers authored by Stephany Vasquez‐Perez

Since Specialization

Citations

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

Fields of papers citing papers by Stephany Vasquez‐Perez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephany Vasquez‐Perez. 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 Stephany Vasquez‐Perez. The network helps show where Stephany Vasquez‐Perez may publish in the future.

Co-authorship network of co-authors of Stephany Vasquez‐Perez

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

All Works

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8 of 8 papers shown

Newman, Nolan K., Richard R. Rodrigues, Manoj Gurung, et al.. (2024). Host response to cholestyramine can be mediated by the gut microbiota. PubMed. 3(3). 40–40. 2 indexed citations

Li, Zhipeng, Manoj Gurung, Richard R. Rodrigues, et al.. (2022). Microbiota and adipocyte mitochondrial damage in type 2 diabetes are linked by Mmp12+ macrophages. The Journal of Experimental Medicine. 219(7). 38 indexed citations

Rodrigues, Richard R., Manoj Gurung, Zhipeng Li, et al.. (2021). Transkingdom interactions between Lactobacilli and hepatic mitochondria attenuate western diet-induced diabetes. Nature Communications. 12(1). 101–101. 125 indexed citations

Shulzhenko, Natalia, Thomas J. Sharpton, Gerd Bobe, et al.. (2021). Xanthohumol Requires the Intestinal Microbiota to Improve Glucose Metabolism in Diet‐Induced Obese Mice. Molecular Nutrition & Food Research. 65(21). e2100389–e2100389. 16 indexed citations

Bobe, Gerd, Cristobal L. Miranda, Stephany Vasquez‐Perez, et al.. (2020). Germ-Free Swiss Webster Mice on a High-Fat Diet Develop Obesity, Hyperglycemia, and Dyslipidemia. Microorganisms. 8(4). 520–520. 21 indexed citations

Shulzhenko, Natalia, Xiaoxi Dong, Renee L. Greer, et al.. (2018). CVID enteropathy is characterized by exceeding low mucosal IgA levels and interferon-driven inflammation possibly related to the presence of a pathobiont. Clinical Immunology. 197. 139–153. 51 indexed citations

Shulzhenko, Natalia, Xiaoxi Dong, Renee L. Greer, et al.. (2017). Low Intestinal IGA Production in CVID Facilitates Pathobiont-Mediated IFN Responses and Enteropathy. Gastroenterology. 152(5). S997–S998. 1 indexed citations

Greer, Renee L., Xiaoxi Dong, Ana Carolina Franco de Moraes, et al.. (2016). Akkermansia muciniphila mediates negative effects of IFNγ on glucose metabolism. Nature Communications. 7(1). 13329–13329. 220 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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