Jon Salazar

1.0k total citations · 1 hit paper
8 papers, 829 citations indexed

About

Jon Salazar is a scholar working on Surgery, Immunology and Molecular Biology. According to data from OpenAlex, Jon Salazar has authored 8 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 4 papers in Immunology and 3 papers in Molecular Biology. Recurrent topics in Jon Salazar's work include Cholesterol and Lipid Metabolism (4 papers), Peroxisome Proliferator-Activated Receptors (3 papers) and Drug Transport and Resistance Mechanisms (2 papers). Jon Salazar is often cited by papers focused on Cholesterol and Lipid Metabolism (4 papers), Peroxisome Proliferator-Activated Receptors (3 papers) and Drug Transport and Resistance Mechanisms (2 papers). Jon Salazar collaborates with scholars based in United States, Spain and Jordan. Jon Salazar's co-authors include Cynthia Hong, Peter Tontonoz, Michelle N. Bradley, Antonio Castrillo, Steven J. Bensinger, Moises Díaz, John S. Parks, Félix López, Peter A. Edwards and Miguel Andújar and has published in prestigious journals such as Immunity, Journal of Lipid Research and Frontiers in Immunology.

In The Last Decade

Jon Salazar

8 papers receiving 820 citations

Hit Papers

Apoptotic Cells Promote Their Own Clearance and Immune To... 2009 2026 2014 2020 2009 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jon Salazar United States 8 528 282 275 115 115 8 829
Juan Vladimir de la Rosa Spain 11 348 0.7× 251 0.9× 141 0.5× 72 0.6× 87 0.8× 19 644
Ada Weinstock United States 15 686 1.3× 426 1.5× 114 0.4× 102 0.9× 310 2.7× 21 1.1k
Karishma Rahman United States 9 645 1.2× 430 1.5× 127 0.5× 68 0.6× 250 2.2× 15 1.1k
Ana Teijeiro Spain 8 280 0.5× 250 0.9× 80 0.3× 130 1.1× 258 2.2× 10 787
Maria Wigren Sweden 21 838 1.6× 258 0.9× 95 0.3× 90 0.8× 272 2.4× 34 1.1k
Goran Marinković Netherlands 14 413 0.8× 332 1.2× 84 0.3× 64 0.6× 93 0.8× 25 794
Flora Saint-Charles France 11 354 0.7× 147 0.5× 164 0.6× 42 0.4× 135 1.2× 14 604
Jeong-Euy Park South Korea 17 405 0.8× 369 1.3× 132 0.5× 105 0.9× 109 0.9× 27 1.0k
Lynda Zeboudj United Kingdom 14 294 0.6× 206 0.7× 75 0.3× 62 0.5× 85 0.7× 18 576
Eva Kritikou Netherlands 10 361 0.7× 347 1.2× 114 0.4× 91 0.8× 107 0.9× 13 626

Countries citing papers authored by Jon Salazar

Since Specialization
Citations

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

Fields of papers citing papers by Jon Salazar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jon Salazar

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

All Works

8 of 8 papers shown
1.
Lee, Jack Y., Bianca Nguyen, Anandaroop Mukhopadhyay, et al.. (2022). Amplification of the CXCR3/CXCL9 axis via intratumoral electroporation of plasmid CXCL9 synergizes with plasmid IL-12 therapy to elicit robust anti-tumor immunity. Molecular Therapy — Oncolytics. 25. 174–188. 10 indexed citations
2.
Alachkar, Amal, et al.. (2022). L-methionine enhances neuroinflammation and impairs neurogenesis: Implication for Alzheimer's disease. Journal of Neuroimmunology. 366. 577843–577843. 18 indexed citations
3.
Agrawal, Sudhanshu, et al.. (2021). Sex-Related Differences in Innate and Adaptive Immune Responses to SARS-CoV-2. Frontiers in Immunology. 12. 739757–739757. 19 indexed citations
4.
Ito, Ayaka, Cynthia Hong, Kazuhiro Oka, et al.. (2016). Cholesterol Accumulation in CD11c+ Immune Cells Is a Causal and Targetable Factor in Autoimmune Disease. Immunity. 45(6). 1311–1326. 96 indexed citations
5.
Hong, Cynthia, Xin Rong, Xuping Wang, et al.. (2012). LXRα is uniquely required for maximal reverse cholesterol transport and atheroprotection in ApoE-deficient mice. Journal of Lipid Research. 53(6). 1126–1133. 37 indexed citations
6.
Hong, Cynthia, Robert Walczak, Helena Dhamko, et al.. (2010). Constitutive activation of LXR in macrophages regulates metabolic and inflammatory gene expression: identification of ARL7 as a direct target. Journal of Lipid Research. 52(3). 531–539. 59 indexed citations
7.
A-González, Noelia, Steven J. Bensinger, Cynthia Hong, et al.. (2009). Apoptotic Cells Promote Their Own Clearance and Immune Tolerance through Activation of the Nuclear Receptor LXR. Immunity. 31(2). 245–258. 544 indexed citations breakdown →
8.
Marathe, Chaitra, Michelle N. Bradley, Cynthia Hong, et al.. (2008). Preserved glucose tolerance in high-fat-fed C57BL/6 mice transplanted with PPARγ−/−, PPARδ−/−, PPARγδ−/−, or LXRαβ−/− bone marrow. Journal of Lipid Research. 50(2). 214–224. 46 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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