Miguel A. Vázquez

723 total citations
15 papers, 335 citations indexed

About

Miguel A. Vázquez is a scholar working on Immunology, Nutrition and Dietetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Miguel A. Vázquez has authored 15 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Nutrition and Dietetics and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Miguel A. Vázquez's work include Fatty Acid Research and Health (4 papers), Nitric Oxide and Endothelin Effects (3 papers) and Eicosanoids and Hypertension Pharmacology (3 papers). Miguel A. Vázquez is often cited by papers focused on Fatty Acid Research and Health (4 papers), Nitric Oxide and Endothelin Effects (3 papers) and Eicosanoids and Hypertension Pharmacology (3 papers). Miguel A. Vázquez collaborates with scholars based in United States, Russia and Puerto Rico. Miguel A. Vázquez's co-authors include Christopher Y. Lu, S C Sicher, Raymond W. Redline, Dianne B. McKay, Gyung-Ho Chung, Kenichiro Kitamura, R. Tyler Miller, Virginia E. Papaioannou, John E. Rectenwald and Mariusz L. Kielar and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and The Journal of Immunology.

In The Last Decade

Miguel A. Vázquez

15 papers receiving 326 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Miguel A. Vázquez United States 12 125 111 61 52 47 15 335
Jan Ramakers Germany 8 101 0.8× 35 0.3× 133 2.2× 56 1.1× 27 0.6× 14 513
Elizabeth E. Mannick United States 11 85 0.7× 76 0.7× 71 1.2× 76 1.5× 17 0.4× 18 402
Stefan Dehmel Germany 8 49 0.4× 34 0.3× 142 2.3× 23 0.4× 35 0.7× 12 339
Benoy B. Paul United States 6 105 0.8× 37 0.3× 66 1.1× 19 0.4× 14 0.3× 8 340
Cherie Lambert United States 6 132 1.1× 32 0.3× 153 2.5× 83 1.6× 18 0.4× 9 501
Fareed K. N. Arthur Ghana 10 37 0.3× 34 0.3× 56 0.9× 19 0.4× 19 0.4× 27 319
Shaun K. McMaster United Kingdom 9 268 2.1× 38 0.3× 183 3.0× 46 0.9× 57 1.2× 9 560
Margareta Holub Austria 8 137 1.1× 29 0.3× 84 1.4× 9 0.2× 10 0.2× 8 347
Stacy Dorris United States 7 32 0.3× 14 0.1× 46 0.8× 40 0.8× 28 0.6× 10 267
Shinobu Sato Japan 12 83 0.7× 81 0.7× 67 1.1× 98 1.9× 5 0.1× 32 433

Countries citing papers authored by Miguel A. Vázquez

Since Specialization
Citations

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

Fields of papers citing papers by Miguel A. Vázquez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miguel A. Vázquez. 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 Miguel A. Vázquez. The network helps show where Miguel A. Vázquez may publish in the future.

Co-authorship network of co-authors of Miguel A. Vázquez

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

All Works

15 of 15 papers shown
1.
Ali, Joseph, David Magnus, Benjamin S. Wilfond, et al.. (2025). Disentangling informing participants from obtaining their consent. Learning Health Systems. 9(4). e70014–e70014. 1 indexed citations
2.
Avilés‐Santa, Larissa, John Heintzman, Nangel M. Lindberg, et al.. (2017). Personalized medicine and Hispanic health: improving health outcomes and reducing health disparities – a National Heart, Lung, and Blood Institute workshop report. BMC Proceedings. 11(S11). 11–11. 20 indexed citations
3.
Rectenwald, John E., et al.. (2016). How Can the Complications of Central Vein Catheters Be Reduced?. Seminars in Dialysis. 29(3). 201–203. 11 indexed citations
4.
Martín, José Luis Martín, et al.. (2015). The Prevalence of Sexually Transmitted Infections on Teen Pregnancies and Their Association With Adverse Pregnancy Outcomes [100]. Obstetrics and Gynecology. 125(Supplement 1). 38S–38S. 1 indexed citations
5.
Richer, Edmond, Matthew A. Lewis, Clarita V. Odvina, et al.. (2005). Reduction in normalized bone elasticity following long-term bisphosphonate treatment as measured by ultrasound critical angle reflectometry. Osteoporosis International. 16(11). 1384–1392. 15 indexed citations
6.
Lu, Christopher Y., Jeffrey G. Penfield, S C Sicher, et al.. (1998). Docosahexaenoic acid, a constituent of fetal and neonatal serum, inhibits nitric oxide production by murine macrophages stimulated by IFNγ plus LPS, or by IFNγ plus Listeria monocytogenes. Journal of Reproductive Immunology. 38(1). 31–53. 20 indexed citations
7.
Sicher, S C, et al.. (1996). Inhibition of Macrophage Nitric‐Oxide Production and Ia‐Expression by Docosahexaenoic Acid, a Constituent of Fetal and Neonatal Serum. American Journal of Reproductive Immunology. 36(1). 1–10. 16 indexed citations
8.
Sicher, S C, et al.. (1996). Transcription of the murine iNOS gene is inhibited by docosahexaenoic acid, a major constituent of fetal and neonatal sera as well as fish oils.. The Journal of Experimental Medicine. 183(3). 1241–1246. 54 indexed citations
9.
Vázquez, Miguel A., et al.. (1996). Differential regulation of Ia expression and antigen presentation by listeriolysin-producing versus non-producing strains of Listeria monocytogenes. Journal of Leukocyte Biology. 59(5). 683–690. 5 indexed citations
10.
Vázquez, Miguel A., et al.. (1995). Differential regulation of TNF-α production by listeriolysin-producing versus nonproducing strains of Listeria monocytogenes. Journal of Leukocyte Biology. 58(5). 556–562. 17 indexed citations
11.
Sicher, S C, Gyung-Ho Chung, Miguel A. Vázquez, & Christopher Y. Lu. (1995). Augmentation or inhibition of IFN-γ-induced MHC class II expression by lipopolysaccharides. The roles of TNF-α and nitric oxide, and the importance of the sequence of signaling. The Journal of Immunology. 155(12). 5826–5834. 36 indexed citations
12.
Sicher, S C, et al.. (1995). Docosahexaenoic acid, a major constituent of fetal serum and fish oil diets, inhibits IFN gamma-induced Ia-expression by murine macrophages in vitro.. The Journal of Immunology. 154(3). 1296–1306. 58 indexed citations
13.
Lu, Christopher Y., S C Sicher, & Miguel A. Vázquez. (1993). Prevention and treatment of renal allograft rejection. Journal of the American Society of Nephrology. 4(6). 1239–1256. 25 indexed citations
14.
McKay, Dianne B., Miguel A. Vázquez, Raymond W. Redline, & Christopher Y. Lu. (1992). Macrophage functions are regulated by murine decidual and tumor extracellular matrices.. Journal of Clinical Investigation. 89(1). 134–142. 25 indexed citations
15.
Redline, Raymond W., Dianne B. McKay, Miguel A. Vázquez, Virginia E. Papaioannou, & Christopher Y. Lu. (1990). Macrophage functions are regulated by the substratum of murine decidual stromal cells.. Journal of Clinical Investigation. 85(6). 1951–1958. 31 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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