David N. Boone

1.1k total citations
26 papers, 753 citations indexed

About

David N. Boone is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, David N. Boone has authored 26 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Oncology and 7 papers in Cancer Research. Recurrent topics in David N. Boone's work include Growth Hormone and Insulin-like Growth Factors (4 papers), Career Development and Diversity (3 papers) and RNA modifications and cancer (3 papers). David N. Boone is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (4 papers), Career Development and Diversity (3 papers) and RNA modifications and cancer (3 papers). David N. Boone collaborates with scholars based in United States, China and Germany. David N. Boone's co-authors include Adrian V. Lee, Zhaoliang Li, Stephan Hann, Susan M. Farabaugh, Ying Qi, Wilfried W. de Jong, Teun van Rheede, Ole Madsen, S. Blair Hedges and Steffi Oesterreich and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Cancer Research.

In The Last Decade

David N. Boone

25 papers receiving 747 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 N. Boone United States 12 540 203 189 100 92 26 753
Gabriel Bretones Spain 16 761 1.4× 323 1.6× 181 1.0× 63 0.6× 17 0.2× 24 1.1k
Sravanthi Chigurupati United States 9 397 0.7× 103 0.5× 108 0.6× 96 1.0× 13 0.1× 9 634
Jikui Guan Sweden 15 415 0.8× 160 0.8× 134 0.7× 120 1.2× 13 0.1× 26 721
Zhenqing Ye United States 19 852 1.6× 158 0.8× 268 1.4× 222 2.2× 31 0.3× 38 1.2k
Cosimo Martinelli France 11 535 1.0× 63 0.3× 568 3.0× 43 0.4× 218 2.4× 11 1.2k
Andreas Turzynski Germany 11 184 0.3× 131 0.6× 79 0.4× 59 0.6× 31 0.3× 16 389
Daniel Diolaiti United States 15 720 1.3× 190 0.9× 212 1.1× 63 0.6× 6 0.1× 21 952
Jiayi Han China 13 570 1.1× 37 0.2× 269 1.4× 31 0.3× 20 0.2× 27 823
Joseph L. Regan Germany 15 425 0.8× 428 2.1× 140 0.7× 125 1.3× 16 0.2× 21 712
M. Varella-Garcia United States 16 585 1.1× 368 1.8× 163 0.9× 124 1.2× 12 0.1× 36 1.0k

Countries citing papers authored by David N. Boone

Since Specialization
Citations

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

Fields of papers citing papers by David N. Boone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David N. Boone

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

All Works

20 of 20 papers shown
1.
Belayneh, Rebekah, David N. Boone, Vaidehi Patel, et al.. (2024). RNA-sequencing predicts a role of androgen receptor and aldehyde dehydrogenase 1A1 in osteosarcoma lung metastases. Oncogene. 43(14). 1007–1018.
2.
Lee, Sanghoon, et al.. (2024). Intragenic Rearrangement Burden Associates with Immune Cell Infiltration and Response to Immune Checkpoint Blockade in Cancer. Cancer Immunology Research. 12(3). 287–295. 1 indexed citations
3.
Chawla, Pooja A., David Gau, Fangyuan Chen, et al.. (2024). Breast cancer cells promote osteoclast differentiation in an MRTF-dependent paracrine manner. Molecular Biology of the Cell. 36(1). ar8–ar8. 1 indexed citations
4.
Chen, Fangyuan, David Gau, Pooja A. Chawla, et al.. (2024). mDia2 is an important mediator of MRTF-A-dependent regulation of breast cancer cell migration. Molecular Biology of the Cell. 35(10). ar133–ar133. 1 indexed citations
5.
6.
Gau, David, Marion Joy, Sanghoon Lee, et al.. (2023). Vascular endothelial profilin-1 drives a protumorigenic tumor microenvironment and tumor progression in renal cancer. Journal of Biological Chemistry. 299(8). 105044–105044. 2 indexed citations
7.
8.
Sreekumar, Sreeja, Kevin M. Levine, Matthew J. Sikora, et al.. (2020). Differential Regulation and Targeting of Estrogen Receptor α Turnover in Invasive Lobular Breast Carcinoma. Endocrinology. 161(9). 12 indexed citations
9.
Boone, David N., et al.. (2020). SNHG7 is a lncRNA oncogene controlled by Insulin-like Growth Factor signaling through a negative feedback loop to tightly regulate proliferation. Scientific Reports. 10(1). 8583–8583. 17 indexed citations
10.
Gau, David, Lucile Vignaud, José‐Alain Sahel, et al.. (2020). Disruption of profilin1 function suppresses developmental and pathological retinal neovascularization. Journal of Biological Chemistry. 295(28). 9618–9629. 10 indexed citations
11.
Boone, David N., et al.. (2020). Leveraging Out-of-School STEM Programs During COVID-19. 2(4). 2 indexed citations
12.
Levine, Kevin M., Nilgun Tasdemir, Julie A. Scott, et al.. (2018). Loss of E-cadherin Enhances IGF1–IGF1R Pathway Activation and Sensitizes Breast Cancers to Anti-IGF1R/InsR Inhibitors. Clinical Cancer Research. 24(20). 5165–5177. 54 indexed citations
13.
Wang, Yu‐Fen, et al.. (2018). Controlled dimerization of insulin-like growth factor-1 and insulin receptors reveals shared and distinct activities of holo and hybrid receptors. Journal of Biological Chemistry. 293(10). 3700–3709. 14 indexed citations
14.
Boone, David N., et al.. (2017). Insights from Global Analyses of Long Noncoding RNAs in Breast Cancer. Current Pathobiology Reports. 5(1). 23–34. 11 indexed citations
15.
Onuchic, Vitor, Ryan J. Hartmaier, David N. Boone, et al.. (2016). Epigenomic Deconvolution of Breast Tumors Reveals Metabolic Coupling between Constituent Cell Types. Cell Reports. 17(8). 2075–2086. 61 indexed citations
16.
Nayak, Shweta, David N. Boone, Ryan J. Hartmaier, et al.. (2015). A Role for Histone H2B Variants in Endocrine-Resistant Breast Cancer. Hormones and Cancer. 6(5-6). 214–224. 32 indexed citations
17.
Farabaugh, Susan M., David N. Boone, & Adrian V. Lee. (2015). Role of IGF1R in Breast Cancer Subtypes, Stemness, and Lineage Differentiation. Frontiers in Endocrinology. 6. 59–59. 153 indexed citations
18.
Boone, David N. & Adrian V. Lee. (2012). Targeting the Insulin-like Growth Factor Receptor: Developing Biomarkers from Gene Expression Profiling. Critical Reviews™ in Oncogenesis. 17(2). 161–173. 48 indexed citations
19.
Zhang, Qin, Erick Spears, David N. Boone, et al.. (2012). Domain-specific c-Myc ubiquitylation controls c-Myc transcriptional and apoptotic activity. Proceedings of the National Academy of Sciences. 110(3). 978–983. 33 indexed citations
20.
Rheede, Teun van, et al.. (2005). The Platypus Is in Its Place: Nuclear Genes and Indels Confirm the Sister Group Relation of Monotremes and Therians. Molecular Biology and Evolution. 23(3). 587–597. 99 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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