Victoria Campos‐Peña

1.6k total citations
33 papers, 1.3k citations indexed

About

Victoria Campos‐Peña is a scholar working on Physiology, Molecular Biology and Pharmacology. According to data from OpenAlex, Victoria Campos‐Peña has authored 33 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Physiology, 10 papers in Molecular Biology and 9 papers in Pharmacology. Recurrent topics in Victoria Campos‐Peña's work include Alzheimer's disease research and treatments (16 papers), Neuroscience and Neuropharmacology Research (6 papers) and Cholinesterase and Neurodegenerative Diseases (5 papers). Victoria Campos‐Peña is often cited by papers focused on Alzheimer's disease research and treatments (16 papers), Neuroscience and Neuropharmacology Research (6 papers) and Cholinesterase and Neurodegenerative Diseases (5 papers). Victoria Campos‐Peña collaborates with scholars based in Mexico, United States and Spain. Victoria Campos‐Peña's co-authors include Danira Toral-Ríos, Marco Antonio Meraz‐Ríos, Diana Franco-Bocanegra, Juana Villeda‐Hernández, Karla Carvajal, Mario Alonso‐Vanegas, Carmen Sánchez‐Torres, Erika González‐Domínguez, Ángel L. Corbí and Rogélio Hernández‐Pando and has published in prestigious journals such as The Journal of Immunology, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Victoria Campos‐Peña

30 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Victoria Campos‐Peña Mexico 17 613 439 299 208 155 33 1.3k
Dibbanti HariKrishnaReddy India 16 569 0.9× 515 1.2× 390 1.3× 205 1.0× 115 0.7× 36 1.4k
Rishika Dhapola India 12 526 0.9× 467 1.1× 385 1.3× 187 0.9× 106 0.7× 26 1.2k
Weina Yang China 22 404 0.7× 403 0.9× 307 1.0× 187 0.9× 138 0.9× 44 1.2k
Chul Ju Hwang South Korea 21 279 0.5× 411 0.9× 269 0.9× 171 0.8× 93 0.6× 42 1.2k
Young Hae Chong South Korea 22 652 1.1× 731 1.7× 232 0.8× 215 1.0× 272 1.8× 37 1.6k
Kohichi Kawahara Japan 16 346 0.6× 443 1.0× 272 0.9× 167 0.8× 190 1.2× 36 1.2k
Seokjo Kang South Korea 14 601 1.0× 405 0.9× 568 1.9× 94 0.5× 115 0.7× 19 1.3k
Hantamalala Ralay Ranaivo United States 19 349 0.6× 386 0.9× 400 1.3× 96 0.5× 188 1.2× 41 1.2k
Marie‐Victoire Guillot‐Sestier United States 14 636 1.0× 502 1.1× 655 2.2× 95 0.5× 120 0.8× 21 1.3k

Countries citing papers authored by Victoria Campos‐Peña

Since Specialization
Citations

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

Fields of papers citing papers by Victoria Campos‐Peña

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Victoria Campos‐Peña. 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 Victoria Campos‐Peña. The network helps show where Victoria Campos‐Peña may publish in the future.

Co-authorship network of co-authors of Victoria Campos‐Peña

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

All Works

20 of 20 papers shown
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Toral-Ríos, Danira, Elizabeth Ruiz-Sánchez, Óscar Rosas‐Carrasco, et al.. (2024). Synergistic Effect between the APOE ε4 Allele with Genetic Variants of GSK3B and MAPT: Differential Profile between Refractory Epilepsy and Alzheimer Disease. International Journal of Molecular Sciences. 25(18). 10228–10228. 2 indexed citations
4.
Rivera-Gutiérrez, Sandra, et al.. (2023). Presence of indicator bacteria, Shiga toxin-producing Escherichia coli, and nontuberculous mycobacteria in oregano. Food Science and Technology. 43. 1 indexed citations
5.
Gonsebatt, María E., Cristina Trejo‐Solís, Victoria Campos‐Peña, et al.. (2023). Transsulfuration pathway: a targeting neuromodulator in Parkinson’s disease. Reviews in the Neurosciences. 34(8). 915–932. 10 indexed citations
6.
Valencia‐Quintana, Rafael, et al.. (2023). Effect of Pesticide Exposure over DNA Damage in Farmers from Los Reyes, Michoacan in Mexico. Toxics. 11(2). 122–122. 6 indexed citations
7.
Toral-Ríos, Danira, Elizabeth Ruiz-Sánchez, Nancy Martínez‐Rodríguez, et al.. (2022). SORL1 Polymorphisms in Mexican Patients with Alzheimer’s Disease. Genes. 13(4). 587–587. 3 indexed citations
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Campos‐Peña, Victoria, Ana Luisa Sosa, Sandra Orozco‐Suárez, et al.. (2021). Plasma Levels of Amyloid-β Peptides and Tau Protein in Mexican Patients with Alzheimer’s Disease. Journal of Alzheimer s Disease. 82(s1). S271–S281. 5 indexed citations
10.
Toral-Ríos, Danira, Genaro Patiño‐López, Gisela Gómez‐Lira, et al.. (2020). Activation of STAT3 Regulates Reactive Astrogliosis and Neuronal Death Induced by AβO Neurotoxicity. International Journal of Molecular Sciences. 21(20). 7458–7458. 39 indexed citations
11.
González‐Domínguez, Erika, Germán Vargas‐Ayala, Victoria Campos‐Peña, et al.. (2020). Specific macrophage subsets accumulate in human subcutaneous and omental fat depots during obesity. Immunology and Cell Biology. 98(10). 868–882. 16 indexed citations
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Toral-Ríos, Danira, et al.. (2020). GSK3β and Tau Protein in Alzheimer’s Disease and Epilepsy. Frontiers in Cellular Neuroscience. 14. 19–19. 126 indexed citations
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Campos‐Peña, Victoria, et al.. (2016). Metabolic Syndrome as a Risk Factor for Alzheimer's Disease: Is Aβ a Crucial Factor in Both Pathologies?. Antioxidants and Redox Signaling. 26(10). 542–560. 47 indexed citations
14.
González‐Domínguez, Erika, Ángeles Domínguez‐Soto, Concha Nieto, et al.. (2016). Atypical Activin A and IL-10 Production Impairs Human CD16+ Monocyte Differentiation into Anti-Inflammatory Macrophages. The Journal of Immunology. 196(3). 1327–1337. 48 indexed citations
15.
González‐Domínguez, Erika, Rafael Samaniego, Azucena Salas, et al.. (2015). CD163L1 and CLEC5A discriminate subsets of human resident and inflammatory macrophages in vivo. Journal of Leukocyte Biology. 98(4). 453–466. 76 indexed citations
16.
Toral-Ríos, Danira, et al.. (2015). Evaluation of inflammation-related genes polymorphisms in Mexican with Alzheimer’s disease: a pilot study. Frontiers in Cellular Neuroscience. 9. 148–148. 17 indexed citations
17.
Carvajal, Karla, et al.. (2014). Oxidative Stress and Metabolic Syndrome: Cause or Consequence of Alzheimer's Disease?. Oxidative Medicine and Cellular Longevity. 2014. 1–11. 128 indexed citations
18.
Meraz‐Ríos, Marco Antonio, et al.. (2009). Tau oligomers and aggregation in Alzheimer’s disease. Journal of Neurochemistry. 112(6). 1353–1367. 140 indexed citations
19.
Campos‐Peña, Victoria, et al.. (2006). Macrophage and T lymphocyte apoptosis during experimental pulmonary tuberculosis: their relationship to mycobacterial virulence. European Journal of Immunology. 36(2). 345–353. 60 indexed citations
20.
Campos‐Peña, Victoria, et al.. (2006). Marcadores moleculares de la enfermedad de Alzheimer. 7(4). 293–299. 1 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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