Daniel E. Foxler

417 total citations
9 papers, 286 citations indexed

About

Daniel E. Foxler is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Daniel E. Foxler has authored 9 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Surgery. Recurrent topics in Daniel E. Foxler's work include RNA modifications and cancer (6 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Congenital Diaphragmatic Hernia Studies (2 papers). Daniel E. Foxler is often cited by papers focused on RNA modifications and cancer (6 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Congenital Diaphragmatic Hernia Studies (2 papers). Daniel E. Foxler collaborates with scholars based in United Kingdom, United States and Poland. Daniel E. Foxler's co-authors include Tyson V. Sharp, Gregory D. Longmore, Victoria James, Yunfeng Feng, Dimitris Lagos, Maureen Mee, Dumitru Constantin‐Teodosiu, Thomas Q. de Aguiar Vallim, Sigurður Ingvarsson and Jóhannes Björnsson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Nature Cell Biology.

In The Last Decade

Daniel E. Foxler

9 papers receiving 281 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel E. Foxler United Kingdom	8	203	113	46	38	27	9	286
Ineke Kuper Netherlands	5	289 1.4×	52 0.5×	53 1.2×	82 2.2×	24 0.9×	5	342
Candace J. Poole United States	7	234 1.2×	51 0.5×	33 0.7×	55 1.4×	13 0.5×	10	298
Cécile Gstalder France	6	220 1.1×	70 0.6×	79 1.7×	40 1.1×	24 0.9×	6	277
Jan B. Heidelberger Germany	10	343 1.7×	88 0.8×	39 0.8×	68 1.8×	12 0.4×	12	406
Shenyi Lian China	10	283 1.4×	100 0.9×	30 0.7×	78 2.1×	16 0.6×	23	369
A. Jesse Gore United States	9	183 0.9×	55 0.5×	41 0.9×	113 3.0×	22 0.8×	11	312
Pei-Cong Shi China	6	228 1.1×	146 1.3×	26 0.6×	57 1.5×	14 0.5×	6	288
Tingyi Wei China	8	284 1.4×	103 0.9×	26 0.6×	65 1.7×	13 0.5×	8	343
Glen A. Bjerke United States	10	395 1.9×	110 1.0×	48 1.0×	98 2.6×	12 0.4×	14	489

Countries citing papers authored by Daniel E. Foxler

Since Specialization

Citations

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

Fields of papers citing papers by Daniel E. Foxler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel E. Foxler. 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 Daniel E. Foxler. The network helps show where Daniel E. Foxler may publish in the future.

Co-authorship network of co-authors of Daniel E. Foxler

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

All Works

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9 of 9 papers shown

Foxler, Daniel E., et al.. (2019). Vδ1+ T Cells: Adoptive Cell Therapy for the Treatment of Haematological Malignancies in Allogeneic Settings. Blood. 134(Supplement_1). 3221–3221. 1 indexed citations

Shah, Kunal, Daniel E. Foxler, Duncan C. Miller, et al.. (2017). Argonaute Utilization for miRNA Silencing Is Determined by Phosphorylation-Dependent Recruitment of LIM-Domain-Containing Proteins. Cell Reports. 20(1). 173–187. 49 indexed citations

Wang, Ling, Mary E. A. Howell, Daniel E. Foxler, et al.. (2017). LIMD1 is induced by and required for LMP1 signaling, and protects EBV-transformed cells from DNA damage-induced cell death. Oncotarget. 9(5). 6282–6297. 15 indexed citations

Dermit, Maria, Pedro Casado, Vinothini Rajeeve, et al.. (2016). Oxidative stress downstream of mTORC1 but not AKT causes a proliferative defect in cancer cells resistant to PI3K inhibition. Oncogene. 36(19). 2762–2774. 26 indexed citations

Foxler, Daniel E., Victoria James, Maureen Mee, et al.. (2012). The LIMD1 protein bridges an association between the prolyl hydroxylases and VHL to repress HIF-1 activity. Nature Cell Biology. 14(2). 201–208. 73 indexed citations

Foxler, Daniel E., Victoria James, Samuel J. Shelton, et al.. (2011). PU.1 is a major transcriptional activator of the tumour suppressor geneLIMD1. FEBS Letters. 585(7). 1089–1096. 11 indexed citations

McKay, Tristan R., Banu İskender, Nicola Bates, et al.. (2011). Human feeder cell line for derivation and culture of hESc/hiPSc. Stem Cell Research. 7(2). 154–162. 15 indexed citations

James, Victoria, Yining Zhang, Daniel E. Foxler, et al.. (2010). LIM-domain proteins, LIMD1, Ajuba, and WTIP are required for microRNA-mediated gene silencing. Proceedings of the National Academy of Sciences. 107(28). 12499–12504. 51 indexed citations

Sharp, Tyson V., Ahmad Al‐Attar, Daniel E. Foxler, et al.. (2008). The chromosome 3p21.3-encoded gene, LIMD1 , is a critical tumor suppressor involved in human lung cancer development. Proceedings of the National Academy of Sciences. 105(50). 19932–19937. 45 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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