Jon C. Gonzales

875 total citations
11 papers, 706 citations indexed

About

Jon C. Gonzales is a scholar working on Cell Biology, Surgery and Molecular Biology. According to data from OpenAlex, Jon C. Gonzales has authored 11 papers receiving a total of 706 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cell Biology, 4 papers in Surgery and 4 papers in Molecular Biology. Recurrent topics in Jon C. Gonzales's work include Lipid metabolism and disorders (3 papers), Proteoglycans and glycosaminoglycans research (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Jon C. Gonzales is often cited by papers focused on Lipid metabolism and disorders (3 papers), Proteoglycans and glycosaminoglycans research (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Jon C. Gonzales collaborates with scholars based in United States, Germany and Brazil. Jon C. Gonzales's co-authors include Jeffrey D. Esko, Erin M. Foley, Philip L.S.M. Gordts, Joseph L. Witztum, Kristin I. Stanford, Joseph R. Bishop, Ingrid R. Niesman, Ni-Huiping Son, Debapriya Basu and Bryan E. Thacker and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and PLoS ONE.

In The Last Decade

Jon C. Gonzales

11 papers receiving 699 citations

Peers

Jon C. Gonzales
Shumei Zhong Canada
Joseph C. Obunike United States
Pia Stillemark-Billton Sweden
Jorge Villoria United States
Sanae Teshigawara Japan
Marie‐Elisabeth Samson‐Bouma France
S I Skarlatos United States
Kazumi Ishimura‐Oka United States
Boris B. Boyanovsky United States
Yuanhong Ma Canada
Shumei Zhong Canada
Jon C. Gonzales
Citations per year, relative to Jon C. Gonzales Jon C. Gonzales (= 1×) peers Shumei Zhong

Countries citing papers authored by Jon C. Gonzales

Since Specialization
Citations

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

Fields of papers citing papers by Jon C. Gonzales

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jon C. Gonzales

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

All Works

11 of 11 papers shown
1.
Lamanna, William C., Chrissa A. Dwyer, Daniel R. Sandoval, et al.. (2022). Impaired mitophagy in Sanfilippo a mice causes hypertriglyceridemia and brown adipose tissue activation. Journal of Biological Chemistry. 298(8). 102159–102159. 3 indexed citations
2.
Gordts, Philip L.S.M., Ni-Huiping Son, Bastian Ramms, et al.. (2016). ApoC-III inhibits clearance of triglyceride-rich lipoproteins through LDL family receptors. Journal of Clinical Investigation. 126(8). 2855–2866. 193 indexed citations
3.
Gonzales, Jon C., Philip L.S.M. Gordts, Erin M. Foley, & Jeffrey D. Esko. (2013). Apolipoproteins E and AV mediate lipoprotein clearance by hepatic proteoglycans. Journal of Clinical Investigation. 123(6). 2742–2751. 63 indexed citations
4.
Foley, Erin M., Philip L.S.M. Gordts, Kristin I. Stanford, et al.. (2013). Hepatic Remnant Lipoprotein Clearance by Heparan Sulfate Proteoglycans and Low-Density Lipoprotein Receptors Depend on Dietary Conditions in Mice. Arteriosclerosis Thrombosis and Vascular Biology. 33(9). 2065–2074. 61 indexed citations
5.
Deng, Yiping, Erin M. Foley, Jon C. Gonzales, et al.. (2011). Shedding of Syndecan–1 From Human Hepatocytes Alters Very Low Density Lipoprotein Clearance. Hepatology. 55(1). 277–286. 37 indexed citations
6.
Gentile, Christopher L., Jon C. Gonzales, Kyle T. Pfaffenbach, et al.. (2011). Experimental evidence for therapeutic potential of taurine in the treatment of nonalcoholic fatty liver disease. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 301(6). R1710–R1722. 97 indexed citations
7.
Bishop, Joseph R., Maria Rita Passos‐Bueno, Loren G. Fong, et al.. (2010). Deletion of the Basement Membrane Heparan Sulfate Proteoglycan Type XVIII Collagen Causes Hypertriglyceridemia in Mice and Humans. PLoS ONE. 5(11). e13919–e13919. 40 indexed citations
8.
Stanford, Kristin I., Joseph R. Bishop, Erin M. Foley, et al.. (2009). Syndecan-1 is the primary heparan sulfate proteoglycan mediating hepatic clearance of triglyceride-rich lipoproteins in mice. Journal of Clinical Investigation. 119(11). 3236–45. 190 indexed citations
9.
10.
Gonzales, Jon C., Yuren Wei, Dong Wang, & Michael J. Pagliassotti. (2006). Endoplasmic reticulum stress increases glucose production in vivo via effects on liver glycogenolysis and glucose‐6‐phosphatase activity. The FASEB Journal. 20(5). 1 indexed citations
11.
Lefebvre, Guylaine, D. Vauthier-Brouzes, Y Darbois, et al.. (1991). [Celioscopy with peridural anesthesia. Techniques, indications, results in 220 cases].. PubMed. 20(3). 355–60. 2 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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