David Contador

667 total citations
11 papers, 510 citations indexed

About

David Contador is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, David Contador has authored 11 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Genetics and 4 papers in Cancer Research. Recurrent topics in David Contador's work include Mesenchymal stem cell research (4 papers), Cardiovascular Disease and Adiposity (3 papers) and Peroxisome Proliferator-Activated Receptors (3 papers). David Contador is often cited by papers focused on Mesenchymal stem cell research (4 papers), Cardiovascular Disease and Adiposity (3 papers) and Peroxisome Proliferator-Activated Receptors (3 papers). David Contador collaborates with scholars based in Chile, Argentina and Italy. David Contador's co-authors include Fernando Ezquer, Paulette Conget, Marcelo Ezquer, Valeska Simon, M Ricca, Sebastián D. Calligaris, Martha L. Arango-Rodríguez, Luis León, Mario Campero and Flavia Bruna and has published in prestigious journals such as Journal of Biological Chemistry, Scientific Reports and Journal of Lipid Research.

In The Last Decade

David Contador

11 papers receiving 504 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 Contador Chile 10 189 178 133 94 82 11 510
Carlotta Reni United Kingdom 11 278 1.5× 134 0.8× 169 1.3× 50 0.5× 51 0.6× 13 617
Guodong Tie United States 12 348 1.8× 131 0.7× 180 1.4× 96 1.0× 96 1.2× 25 770
Jinglian Yan United States 11 325 1.7× 134 0.8× 169 1.3× 79 0.8× 97 1.2× 18 697
Brandon Liebelt United States 13 179 0.9× 144 0.8× 133 1.0× 101 1.1× 40 0.5× 27 699
Wee Kiat Ong Singapore 8 192 1.0× 228 1.3× 194 1.5× 29 0.3× 104 1.3× 10 494
Mako Ohshima Japan 15 253 1.3× 248 1.4× 226 1.7× 68 0.7× 60 0.7× 19 621
Joon-Seok Choi South Korea 11 138 0.7× 238 1.3× 110 0.8× 62 0.7× 66 0.8× 12 524
Qing-jun Zhang China 11 303 1.6× 181 1.0× 157 1.2× 97 1.0× 29 0.4× 31 645
Jacek Stępniewski Poland 18 567 3.0× 90 0.5× 172 1.3× 113 1.2× 68 0.8× 47 820
Silvana Baglioni Italy 14 294 1.6× 175 1.0× 204 1.5× 123 1.3× 139 1.7× 16 796

Countries citing papers authored by David Contador

Since Specialization
Citations

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

Fields of papers citing papers by David Contador

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Contador

This figure shows the co-authorship network connecting the top 25 collaborators of David Contador. A scholar is included among the top collaborators of David Contador 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 Contador. David Contador 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.
2.
Contador, David, Daniela Santapau, Lorena Lobos‐González, et al.. (2020). Human adipose-derived mesenchymal stem cell-conditioned medium ameliorates polyneuropathy and foot ulceration in diabetic BKS db/db mice. Stem Cell Research & Therapy. 11(1). 168–168. 87 indexed citations
3.
Bruna, Flavia, et al.. (2019). Human renal adipose tissue from normal and tumor kidney: its influence on renal cell carcinoma. Oncotarget. 10(52). 5454–5467. 15 indexed citations
4.
Contador, David, et al.. (2018). Characterization of diabetic neuropathy progression in a mouse model of type 2 diabetes mellitus. Biology Open. 7(9). 35 indexed citations
5.
León, Luis, et al.. (2017). Circulating miR-19b and miR-181b are potential biomarkers for diabetic cardiomyopathy. Scientific Reports. 7(1). 13514–13514. 71 indexed citations
6.
Bruna, Flavia, David Contador, Constanza M. López-Fontana, et al.. (2017). Human renal adipose tissue induces the invasion and progression of renal cell carcinoma. Oncotarget. 8(55). 94223–94234. 22 indexed citations
7.
Bruna, Flavia, David Contador, Paulette Conget, et al.. (2016). Regenerative Potential of Mesenchymal Stromal Cells: Age‐Related Changes. Stem Cells International. 2016(1). 1461648–1461648. 40 indexed citations
8.
Contador, David, Fernando Ezquer, Martha L. Arango-Rodríguez, et al.. (2015). Featured Article: Dexamethasone and rosiglitazone are sufficient and necessary for producing functional adipocytes from mesenchymal stem cells. Experimental Biology and Medicine. 240(9). 1235–1246. 48 indexed citations
9.
10.
Gatica, Arnaldo, David Contador, Claudio Pinto, et al.. (2007). P450 CYP2C epoxygenase and CYP4A ω-hydroxylase mediate ciprofibrate-induced PPARα-dependent peroxisomal proliferation. Journal of Lipid Research. 48(4). 924–934. 9 indexed citations
11.
Fuenzalida, Karen, Patricio Ramos, David Contador, et al.. (2005). Peroxisome Proliferator-activated Receptor γ Is a Novel Target of the Nerve Growth Factor Signaling Pathway in PC12 Cells. Journal of Biological Chemistry. 280(10). 9604–9609. 36 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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2026