David H. Spencer

12.2k total citations · 1 hit paper
57 papers, 3.8k citations indexed

About

David H. Spencer is a scholar working on Molecular Biology, Hematology and Cancer Research. According to data from OpenAlex, David H. Spencer has authored 57 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 20 papers in Hematology and 19 papers in Cancer Research. Recurrent topics in David H. Spencer's work include Acute Myeloid Leukemia Research (19 papers), Cancer Genomics and Diagnostics (15 papers) and Epigenetics and DNA Methylation (11 papers). David H. Spencer is often cited by papers focused on Acute Myeloid Leukemia Research (19 papers), Cancer Genomics and Diagnostics (15 papers) and Epigenetics and DNA Methylation (11 papers). David H. Spencer collaborates with scholars based in United States, Canada and United Kingdom. David H. Spencer's co-authors include Maynard V. Olson, Rajinder Kaul, Christopher K. Raymond, Eric Haugen, Chunrong Liu, Ruth Levy, Michael A. Jacobs, Stephen A. Ernst, Iyarit Thaipisuttikul and Colin Manoil and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and JAMA.

In The Last Decade

David H. Spencer

56 papers receiving 3.7k citations

Hit Papers

Comprehensive transposon mutant library of Pseudomonas ae... 2003 2026 2010 2018 2003 250 500 750

Peers

David H. Spencer
Adam C. Wilkinson United Kingdom
Simon J. McGowan United Kingdom
Richard J. Meyer United States
Patrick M. Slocombe United Kingdom
Sally S. Twining United States
David L. Goode Australia
Geoffrey Yarranton United States
Nicole T. Liberati United States
David H. Spencer
Citations per year, relative to David H. Spencer David H. Spencer (= 1×) peers Shih‐Feng Tsai

Countries citing papers authored by David H. Spencer

Since Specialization
Citations

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

Fields of papers citing papers by David H. Spencer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David H. Spencer

This figure shows the co-authorship network connecting the top 25 collaborators of David H. Spencer. A scholar is included among the top collaborators of David H. Spencer 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 H. Spencer. David H. Spencer 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.
Polonis, Katarzyna, et al.. (2025). Innovations in Short-Read Sequencing Technologies and Their Applications to Clinical Genomics. Clinical Chemistry. 71(1). 97–108. 5 indexed citations
2.
Valentine, Mark C., Amanda Wong, Ling Chen, et al.. (2025). A fully next-generation sequencing-based method of classifying molecular sub-types of endometrial cancer retains prognostic value and expands biomarker targets. International Journal of Gynecological Cancer. 35(2). 100060–100060.
3.
Ruzinova, Marianna B., Ashutosh Kumar, Ryan B. Day, et al.. (2024). Missense Mutations in Myc Box I Influence Nucleocytoplasmic Transport to Promote Leukemogenesis. Clinical Cancer Research. 30(16). 3622–3639. 2 indexed citations
4.
Abel, Haley, Karolyn A. Oetjen, Christopher A. Miller, et al.. (2023). Genomic landscape of TP53-mutated myeloid malignancies. Blood Advances. 7(16). 4586–4598. 15 indexed citations
5.
Zhang, Christine, Wentao Han, Andrew L. Young, et al.. (2023). KDM6B protects T-ALL cells from NOTCH1-induced oncogenic stress. Leukemia. 37(4). 728–740. 9 indexed citations
6.
Hou, Ying‐Chen Claire, Julie Neidich, Eric J. Duncavage, David H. Spencer, & Molly C. Schroeder. (2022). Clinical whole‐genome sequencing in cancer diagnosis. Human Mutation. 43(11). 1519–1530. 13 indexed citations
7.
Miller, Christopher A., Jason Walker, Robert S. Fulton, et al.. (2022). Failure to Detect Mutations in U2AF1 due to Changes in the GRCh38 Reference Sequence. Journal of Molecular Diagnostics. 24(3). 219–223. 14 indexed citations
8.
Warren, Julia T., Ryan R. Cupo, David H. Spencer, et al.. (2021). Heterozygous variants of CLPB are a cause of severe congenital neutropenia. Blood. 139(5). 779–791. 24 indexed citations
9.
Helton, Nichole, Sharon E. Heath, Robert S. Fulton, et al.. (2021). Focal disruption of DNA methylation dynamics at enhancers in IDH-mutant AML cells. Leukemia. 36(4). 935–945. 19 indexed citations
10.
Christopher, Matthew, Margery Gang, Andrew J. Menssen, et al.. (2021). Tumor suppressor function of <I>WT1</I> in acute promyelocytic leukemia. Haematologica. 107(1). 342–346. 6 indexed citations
11.
Ghasemi, Reza, et al.. (2020). Contribution of CTCF binding to transcriptional activity at the HOXA locus in NPM1-mutant AML cells. Leukemia. 35(2). 404–416. 18 indexed citations
12.
Spencer, David H., David A. Russler‐Germain, Shamika Ketkar, et al.. (2017). CpG Island Hypermethylation Mediated by DNMT3A Is a Consequence of AML Progression. Cell. 168(5). 801–816.e13. 149 indexed citations
13.
Acevedo‐Garcia, Johanna, David H. Spencer, Hannah Thieron, et al.. (2016). mlo ‐based powdery mildew resistance in hexaploid bread wheat generated by a non‐transgenic TILLING approach. Plant Biotechnology Journal. 15(3). 367–378. 134 indexed citations
14.
Russler‐Germain, David A., David H. Spencer, Margaret A. Young, et al.. (2014). The R882H DNMT3A Mutation Associated with AML Dominantly Inhibits Wild-Type DNMT3A by Blocking Its Ability to Form Active Tetramers. Cancer Cell. 25(4). 442–454. 316 indexed citations
15.
Klco, Jeffery M., David H. Spencer, Chris Miller, et al.. (2014). Functional Heterogeneity of Genetically Defined Subclones in Acute Myeloid Leukemia. Cancer Cell. 25(3). 379–392. 264 indexed citations
16.
Spencer, David H., Jennifer K. Sehn, Haley Abel, et al.. (2013). Comparison of Clinical Targeted Next-Generation Sequence Data from Formalin-Fixed and Fresh-Frozen Tissue Specimens. Journal of Molecular Diagnostics. 15(5). 623–633. 123 indexed citations
17.
Spencer, David H., Manoj Tyagi, Francesco Vallania, et al.. (2013). Performance of Common Analysis Methods for Detecting Low-Frequency Single Nucleotide Variants in Targeted Next-Generation Sequence Data. Journal of Molecular Diagnostics. 16(1). 75–88. 84 indexed citations
18.
D’Argenio, David A., Manhong Wu, Lucas R. Hoffman, et al.. (2007). Growth phenotypes of Pseudomonas aeruginosa lasR mutants adapted to the airways of cystic fibrosis patients. Molecular Microbiology. 64(2). 512–533. 278 indexed citations
19.
Spencer, David H., Kerry L. Bubb, & Maynard V. Olson. (2006). Detecting Disease-Causing Mutations in the Human Genome by Haplotype Matching. The American Journal of Human Genetics. 79(5). 958–964. 3 indexed citations
20.
Spencer, David H. & Starr Roxanne Hiltz. (2002). A field study of use of synchronous computer-mediated communication in asynchronous learning networks. 6(4). 124–9. 6 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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