David DeSantis

1.0k total citations
16 papers, 799 citations indexed

About

David DeSantis is a scholar working on Molecular Biology, Epidemiology and Physiology. According to data from OpenAlex, David DeSantis has authored 16 papers receiving a total of 799 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Epidemiology and 3 papers in Physiology. Recurrent topics in David DeSantis's work include Liver Disease Diagnosis and Treatment (5 papers), Plant nutrient uptake and metabolism (2 papers) and MicroRNA in disease regulation (2 papers). David DeSantis is often cited by papers focused on Liver Disease Diagnosis and Treatment (5 papers), Plant nutrient uptake and metabolism (2 papers) and MicroRNA in disease regulation (2 papers). David DeSantis collaborates with scholars based in United States, Australia and France. David DeSantis's co-authors include Colleen M. Croniger, Noa Noy, Daniel C. Berry, Hooman Soltanian, Jonathan D. Pollack, S. Mallal, George R. Stark, Sarmishtha De, Frank Christiansen and Hao Zhou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Diabetes.

In The Last Decade

David DeSantis

16 papers receiving 790 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David DeSantis United States 11 401 182 182 144 102 16 799
Nora Benhabilès France 11 234 0.6× 134 0.7× 218 1.2× 103 0.7× 28 0.3× 20 666
Thomas Montange France 16 400 1.0× 121 0.7× 254 1.4× 42 0.3× 55 0.5× 30 936
Anindita Biswas United States 13 557 1.4× 137 0.8× 84 0.5× 78 0.5× 16 0.2× 22 1.1k
M. Sudo Japan 15 315 0.8× 289 1.6× 138 0.8× 139 1.0× 12 0.1× 40 859
Julie Norseen United States 10 800 2.0× 232 1.3× 84 0.5× 381 2.6× 101 1.0× 10 1.2k
Martine Glorian France 15 484 1.2× 133 0.7× 66 0.4× 270 1.9× 18 0.2× 21 1.1k
Joo Chun Yoon South Korea 12 255 0.6× 377 2.1× 256 1.4× 54 0.4× 21 0.2× 19 984
Bailin Liang United States 16 155 0.4× 53 0.3× 385 2.1× 39 0.3× 49 0.5× 34 832
Kathryn L. Gilliland United States 14 374 0.9× 118 0.6× 96 0.5× 30 0.2× 48 0.5× 15 1.3k
Yuhui Shi United States 10 185 0.5× 107 0.6× 265 1.5× 64 0.4× 31 0.3× 13 727

Countries citing papers authored by David DeSantis

Since Specialization
Citations

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

Fields of papers citing papers by David DeSantis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David DeSantis

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

All Works

16 of 16 papers shown
1.
Erokwu, Bernadette O., David DeSantis, Colleen M. Croniger, et al.. (2015). Initial evaluation of hepatic T1 relaxation time as an imaging marker of liver disease associated with autosomal recessive polycystic kidney disease (ARPKD). NMR in Biomedicine. 29(1). 84–89. 6 indexed citations
2.
DeSantis, David, et al.. (2015). Constitutive Activation of the Nlrc4 Inflammasome Prevents Hepatic Fibrosis and Promotes Hepatic Regeneration after Partial Hepatectomy. Mediators of Inflammation. 2015(1). 909827–909827. 10 indexed citations
3.
De, Sarmishtha, Hao Zhou, David DeSantis, et al.. (2015). Erlotinib protects against LPS-induced Endotoxicity because TLR4 needs EGFR to signal. Proceedings of the National Academy of Sciences. 112(31). 9680–9685. 73 indexed citations
4.
Berry, Daniel C., Hugues Jacobs, Gurdeep Marwarha, et al.. (2013). The STRA6 Receptor Is Essential for Retinol-binding Protein-induced Insulin Resistance but Not for Maintaining Vitamin A Homeostasis in Tissues Other Than the Eye. Journal of Biological Chemistry. 288(34). 24528–24539. 113 indexed citations
5.
DeSantis, David, Peter Lee, Chih‐Wei Ko, et al.. (2013). Genetic Resistance to Liver Fibrosis on A/J Mouse Chromosome 17. Alcoholism Clinical and Experimental Research. 37(10). 1668–1679. 10 indexed citations
6.
DeSantis, David, et al.. (2013). Alcohol-Induced Liver Injury Is Modulated by Nlrp3 and Nlrc4 Inflammasomes in Mice. Mediators of Inflammation. 2013. 1–12. 57 indexed citations
7.
Berry, Daniel C., David DeSantis, Hooman Soltanian, Colleen M. Croniger, & Noa Noy. (2012). Retinoic Acid Upregulates Preadipocyte Genes to Block Adipogenesis and Suppress Diet-Induced Obesity. Diabetes. 61(5). 1112–1121. 149 indexed citations
8.
Millward, Carrie A., David DeSantis, Jason D. Heaney, et al.. (2010). Phosphoenolpyruvate carboxykinase (Pck1) helps regulate the triglyceride/fatty acid cycle and development of insulin resistance in mice. Journal of Lipid Research. 51(6). 1452–1463. 79 indexed citations
9.
Markiewski, Maciej M., David A. Buchner, Haiyan Shao, et al.. (2009). Diet-induced hepatocellular carcinoma in genetically predisposed mice. Human Molecular Genetics. 18(16). 2975–2988. 122 indexed citations
10.
Millward, Carrie A., David DeSantis, Sorana Pisano, et al.. (2009). Reduced Milk Triglycerides in Mice Lacking Phosphoenolpyruvate Carboxykinase in Mammary Gland Adipocytes and White Adipose Tissue Contribute to the Development of Insulin Resistance in Pups ,. Journal of Nutrition. 139(12). 2257–2265. 11 indexed citations
11.
Buchner, David A., Maciej M. Markiewski, David DeSantis, et al.. (2009). Diet‐induced hepatocellular carcinoma in genetically‐predisposed mice. The FASEB Journal. 23(S1). 4 indexed citations
12.
Gaudieri, Silvana, David DeSantis, E. McKinnon, et al.. (2005). Killer immunoglobulin-like receptors and HLA act both independently and synergistically to modify HIV disease progression. Genes and Immunity. 6(8). 683–690. 99 indexed citations
13.
Petzel, J P, et al.. (1989). Enzymic activities of carbohydrate, purine, and pyrimidine metabolism in the Anaeroplasmataceae (class Mollicutes). Archives of Microbiology. 152(4). 309–316. 17 indexed citations
14.
DeSantis, David, Victor V. Tryon, & Jonathan D. Pollack. (1989). Metabolism of Mollicutes: the Embden--Meyerhof--Parnas Pathway and the Hexose Monophosphate Shunt. Microbiology. 135(3). 683–691. 34 indexed citations
15.
Pollack, Jonathan D., David DeSantis, Joseph G. Tully, et al.. (1989). Metabolism of Members of the Spiroplasmataceae. International Journal of Systematic Bacteriology. 39(4). 406–412. 14 indexed citations
16.
DeSantis, David. (1988). Carbohydrate metabolism in Mollicutes : the Embden-Meyerhof-Parnas pathway and the hexose monophosphate shunt /. OhioLink ETD Center (Ohio Library and Information Network). 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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