Danielle J. Sanchez

966 total citations
8 papers, 678 citations indexed

About

Danielle J. Sanchez is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Danielle J. Sanchez has authored 8 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cancer Research and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Danielle J. Sanchez's work include Cancer, Hypoxia, and Metabolism (3 papers), Epigenetics and DNA Methylation (3 papers) and Renal cell carcinoma treatment (2 papers). Danielle J. Sanchez is often cited by papers focused on Cancer, Hypoxia, and Metabolism (3 papers), Epigenetics and DNA Methylation (3 papers) and Renal cell carcinoma treatment (2 papers). Danielle J. Sanchez collaborates with scholars based in United States, Slovakia and Switzerland. Danielle J. Sanchez's co-authors include M. Celeste Simon, Brian Keith, Bo Li, Joshua D. Ochocki, Bo Qiu, Ekaterina Bobrovnikova-Marjon, Alison Grazioli, J. Alan Diehl, Daniel Ackerman and Guoji Guo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Cancer Discovery.

In The Last Decade

Danielle J. Sanchez

8 papers receiving 672 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Danielle J. Sanchez United States	7	419	320	185	112	106	8	678
Noga Gadir United States	10	696 1.7×	186 0.6×	110 0.6×	41 0.4×	88 0.8×	18	871
Bert Cruys Belgium	8	324 0.8×	230 0.7×	37 0.2×	39 0.3×	62 0.6×	10	533
Bethany C. Prudner United States	12	263 0.6×	214 0.7×	190 1.0×	33 0.3×	23 0.2×	19	586
Nicole J. Croteau United States	6	300 0.7×	230 0.7×	41 0.2×	41 0.4×	31 0.3×	6	495
Yuanyuan Ban China	11	518 1.2×	426 1.3×	43 0.2×	36 0.3×	26 0.2×	11	690
Songbing He China	20	736 1.8×	519 1.6×	112 0.6×	24 0.2×	75 0.7×	34	957
Christopher Fiore United States	11	631 1.5×	303 0.9×	261 1.4×	19 0.2×	32 0.3×	13	962
Soumen Kahali United States	8	373 0.9×	157 0.5×	48 0.3×	29 0.3×	60 0.6×	9	539
Zachary L. Quinn United States	4	227 0.5×	219 0.7×	46 0.2×	37 0.3×	43 0.4×	9	372
Adam Naguib United States	11	434 1.0×	133 0.4×	66 0.4×	16 0.1×	79 0.7×	12	589

Countries citing papers authored by Danielle J. Sanchez

Since Specialization

Citations

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

Fields of papers citing papers by Danielle J. Sanchez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle J. Sanchez. 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 Danielle J. Sanchez. The network helps show where Danielle J. Sanchez may publish in the future.

Co-authorship network of co-authors of Danielle J. Sanchez

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

All Works

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8 of 8 papers shown

Sanchez, Danielle J., Rindert Missiaen, Nicolas Skuli, David J. Steger, & M. Celeste Simon. (2021). Cell-Intrinsic Tumorigenic Functions of PPARγ in Bladder Urothelial Carcinoma. Molecular Cancer Research. 19(4). 598–611. 9 indexed citations

Bansal, Ankita, et al.. (2019). Gamma-Glutamyltransferase 1 Promotes Clear Cell Renal Cell Carcinoma Initiation and Progression. Molecular Cancer Research. 17(9). 1881–1892. 35 indexed citations

Xie, Hong, Chih-Hang Anthony Tang, Jun Song, et al.. (2018). IRE1α RNase–dependent lipid homeostasis promotes survival in Myc-transformed cancers. Journal of Clinical Investigation. 128(4). 1300–1316. 101 indexed citations

Sanchez, Danielle J., David J. Steger, Nicolas Skuli, Ankita Bansal, & M. Celeste Simon. (2018). PPARγ is dispensable for clear cell renal cell carcinoma progression. Molecular Metabolism. 14. 139–149. 17 indexed citations

Sanchez, Danielle J. & M. Celeste Simon. (2018). Genetic and metabolic hallmarks of clear cell renal cell carcinoma. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1870(1). 23–31. 110 indexed citations

Qiu, Bo, Daniel Ackerman, Danielle J. Sanchez, et al.. (2016). Abstract PR04: HIF-2α dependent lipid storage promotes endoplasmic reticulum homeostasis in clear cell renal cell carcinoma. Molecular Cancer Research. 14(1_Supplement). PR04–PR04. 1 indexed citations

Qiu, Bo, Daniel Ackerman, Danielle J. Sanchez, et al.. (2015). HIF2α-Dependent Lipid Storage Promotes Endoplasmic Reticulum Homeostasis in Clear-Cell Renal Cell Carcinoma. Cancer Discovery. 5(6). 652–667. 298 indexed citations

MacLean, Glenn, Tobias Menne, Guoji Guo, et al.. (2012). Altered hematopoiesis in trisomy 21 as revealed through in vitro differentiation of isogenic human pluripotent cells. Proceedings of the National Academy of Sciences. 109(43). 17567–17572. 107 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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