Vanessa Núñez

2.5k total citations
26 papers, 1.8k citations indexed

About

Vanessa Núñez is a scholar working on Molecular Biology, Immunology and General Health Professions. According to data from OpenAlex, Vanessa Núñez has authored 26 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 12 papers in Immunology and 4 papers in General Health Professions. Recurrent topics in Vanessa Núñez's work include Retinoids in leukemia and cellular processes (5 papers), Immune cells in cancer (5 papers) and CAR-T cell therapy research (3 papers). Vanessa Núñez is often cited by papers focused on Retinoids in leukemia and cellular processes (5 papers), Immune cells in cancer (5 papers) and CAR-T cell therapy research (3 papers). Vanessa Núñez collaborates with scholars based in United States, Spain and United Kingdom. Vanessa Núñez's co-authors include Mercedes Ricote, Ashley K. Woods, Daniel Alameda, T Fischer, María Piedad Menéndez-Gutierrez, Peter G. Schultz, Lucı́a Fuentes, Tamás Rőszer, Eric Hampton and Travis S. Young and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Vanessa Núñez

24 papers receiving 1.7k citations

Peers

Vanessa Núñez
Zaoqu Liu China
Jin Ren United States
Shinji Kuroda Japan
Dinesh Thotala United States
Michele Reibaldi Italy
Sergey Apasov United States
Tokunori Ikeda Japan
Nicholas J. Roberts United States
Shun Li China
Joachim Burman Sweden
Zaoqu Liu China
Vanessa Núñez
Citations per year, relative to Vanessa Núñez Vanessa Núñez (= 1×) peers Zaoqu Liu

Countries citing papers authored by Vanessa Núñez

Since Specialization
Citations

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

Fields of papers citing papers by Vanessa Núñez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vanessa Núñez

This figure shows the co-authorship network connecting the top 25 collaborators of Vanessa Núñez. A scholar is included among the top collaborators of Vanessa Núñez 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 Vanessa Núñez. Vanessa Núñez 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
1.
Heras‐Murillo, Ignacio, Vanessa Núñez, Maite Álvarez, et al.. (2025). Immunotherapy with conventional type-1 dendritic cells induces immune memory and limits tumor relapse. Nature Communications. 16(1). 3369–3369. 3 indexed citations
2.
3.
Blegen, M., Vanessa Núñez, Daniel González, et al.. (2024). Frontline perspectives on barriers to care for patients with California Medicaid: a qualitative study. International Journal for Equity in Health. 23(1). 102–102. 1 indexed citations
4.
Legha, Rupinder, et al.. (2022). An Abolitionist Approach to Antiracist Medical Education. The AMA Journal of Ethic. 24(3). E194–200. 16 indexed citations
5.
Menéndez-Gutierrez, María Piedad, Ramesh C. Nayak, Ana Paredes, et al.. (2022). Retinoid X receptor promotes hematopoietic stem cell fitness and quiescence and preserves hematopoietic homeostasis. Blood. 141(6). 592–608. 11 indexed citations
6.
Carson, Savanna L., Vanessa Núñez, Clemens S. Hong, et al.. (2021). Community-based organizations’ perspectives on improving health and social service integration. BMC Public Health. 21(1). 452–452. 30 indexed citations
7.
Woods, Ashley, Andrew L. Doedens, Yunyi Kang, et al.. (2021). IND-Enabling Studies of a Switchable Chimeric Antigen Receptor-T Cell (CLBR001+SWI019) to Support First in Human Clinical Study. Blood. 138(Supplement 1). 1695–1695.
8.
Alonso-Herranz, Laura, Ana Paredes, Pilar Gonzalo, et al.. (2020). Macrophages promote endothelial-to-mesenchymal transition via MT1-MMP/TGFβ1 after myocardial infarction. eLife. 9. 62 indexed citations
9.
Casanova-Acebes, María, María Piedad Menéndez-Gutierrez, Damiana Álvarez‐Errico, et al.. (2020). RXRs control serous macrophage neonatal expansion and identity and contribute to ovarian cancer progression. Nature Communications. 11(1). 1655–1655. 46 indexed citations
10.
Binek, Aleksandra, David Rojo, Joanna Godzień, et al.. (2018). Flow Cytometry Has a Significant Impact on the Cellular Metabolome. Journal of Proteome Research. 18(1). 169–181. 88 indexed citations
11.
Clemente, Antonio, Carmen Calles, Vanessa Núñez, et al.. (2018). Relapsing–Remitting Multiple Sclerosis Is Characterized by a T Follicular Cell Pro-Inflammatory Shift, Reverted by Dimethyl Fumarate Treatment. Frontiers in Immunology. 9. 1097–1097. 37 indexed citations
12.
Walter, Wencke, Laura Alonso-Herranz, Verdiana Trappetti, et al.. (2018). Deciphering the Dynamic Transcriptional and Post-transcriptional Networks of Macrophages in the Healthy Heart and after Myocardial Injury. Cell Reports. 23(2). 622–636. 48 indexed citations
13.
Clemente, Cristina, Cristina Rius, Laura Alonso-Herranz, et al.. (2018). MT4-MMP deficiency increases patrolling monocyte recruitment to early lesions and accelerates atherosclerosis. Nature Communications. 9(1). 910–910. 35 indexed citations
14.
Natrajan, Muktha S., Alerie Guzman de la Fuente, Abbe Crawford, et al.. (2015). Retinoid X receptor activation reverses age-related deficiencies in myelin debris phagocytosis and remyelination. Brain. 138(12). 3581–3597. 162 indexed citations
15.
Liu, Tao, Yong Zhang, Yan Liu, et al.. (2015). Functional human antibody CDR fusions as long-acting therapeutic endocrine agonists. Proceedings of the National Academy of Sciences. 112(5). 1356–1361. 29 indexed citations
16.
Ma, Feng, Bahram Razani, Bing Li, et al.. (2014). Retinoid X receptor α attenuates host antiviral response by suppressing type I interferon. Nature Communications. 5(1). 5494–5494. 48 indexed citations
17.
Lawless, George, et al.. (2014). Synergistic effects on dopamine cell death in a Drosophila model of chronic toxin exposure. NeuroToxicology. 44. 344–351. 16 indexed citations
18.
Prieur, Xavier, Vidya Velagapudi, Vanessa Núñez, et al.. (2011). Differential Lipid Partitioning Between Adipocytes and Tissue Macrophages Modulates Macrophage Lipotoxicity and M2/M1 Polarization in Obese Mice. Diabetes. 60(3). 797–809. 295 indexed citations
19.
Rőszer, Tamás, María Piedad Menéndez-Gutierrez, Martina I. Lefterova, et al.. (2010). Autoimmune Kidney Disease and Impaired Engulfment of Apoptotic Cells in Mice with Macrophage Peroxisome Proliferator-Activated Receptor γ or Retinoid X Receptor α Deficiency. The Journal of Immunology. 186(1). 621–631. 151 indexed citations
20.
González‐Álvaro, Isidoro, Carmen Domı́nguez-Jiménez, Ana M. Ortiz, et al.. (2006). Interleukin-15 and interferon-γ participate in the cross-talk between natural killer and monocytic cells required for tumour necrosis factor production. Arthritis Research & Therapy. 8(4). R88–R88. 32 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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