David J. Munroe

6.4k total citations · 1 hit paper
91 papers, 4.7k citations indexed

About

David J. Munroe is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, David J. Munroe has authored 91 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 21 papers in Genetics and 11 papers in Oncology. Recurrent topics in David J. Munroe's work include Molecular Biology Techniques and Applications (9 papers), RNA modifications and cancer (9 papers) and CRISPR and Genetic Engineering (7 papers). David J. Munroe is often cited by papers focused on Molecular Biology Techniques and Applications (9 papers), RNA modifications and cancer (9 papers) and CRISPR and Genetic Engineering (7 papers). David J. Munroe collaborates with scholars based in United States, Chile and Canada. David J. Munroe's co-authors include Allan Jacobson, Xiaolin Wu, Shirley Tsang, Bruce Crise, Timothy Harris, Claudia Stewart, Shawn M. Burgess, Ulises Urzúa, David R. Hodge and William L. Farrar and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.

In The Last Decade

David J. Munroe

89 papers receiving 4.6k citations

Hit Papers

Mutations in a novel gene... 2002 2026 2010 2018 2002 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David J. Munroe 2.8k 893 656 576 576 91 4.7k
Shirley M. Taylor 3.8k 1.3× 708 0.8× 479 0.7× 844 1.5× 622 1.1× 43 5.6k
Toni Antalis 2.5k 0.9× 570 0.6× 341 0.5× 846 1.5× 1.1k 1.9× 91 5.7k
Nada Jabado 3.0k 1.1× 757 0.8× 536 0.8× 751 1.3× 881 1.5× 168 7.0k
Donald G. Blair 3.1k 1.1× 954 1.1× 444 0.7× 920 1.6× 322 0.6× 106 4.9k
Grover C. Bagby 2.7k 0.9× 611 0.7× 213 0.3× 870 1.5× 647 1.1× 130 5.6k
Kenzaburo Tani 2.4k 0.9× 1.1k 1.2× 293 0.4× 1.2k 2.0× 285 0.5× 225 5.4k
Scott A. Coonrod 3.6k 1.3× 883 1.0× 430 0.7× 831 1.4× 779 1.4× 99 6.9k
Michael Welsh 3.5k 1.2× 1.2k 1.3× 194 0.3× 619 1.1× 723 1.3× 193 6.6k
Christina Smith 1.5k 0.5× 388 0.4× 428 0.7× 481 0.8× 559 1.0× 80 3.3k

Countries citing papers authored by David J. Munroe

Since Specialization
Citations

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

Fields of papers citing papers by David J. Munroe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David J. Munroe

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Munroe. A scholar is included among the top collaborators of David J. Munroe 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 J. Munroe. David J. Munroe 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.
Munroe, David J., et al.. (2023). Foreclosure Contagion: Measurement and Mechanisms. SSRN Electronic Journal.
2.
Macklin, Andrew, Thomas Kislinger, Nancy H. Colburn, et al.. (2020). PDCD4 regulates axonal growth by translational repression of neurite growth-related genes and is modulated during nerve injury responses. RNA. 26(11). 1637–1653. 17 indexed citations
3.
Molina, Jean‐Michel, Birgit Grund, Fred M. Gordin, et al.. (2018). Which HIV-infected adults with high CD4 T-cell counts benefit most from immediate initiation of antiretroviral therapy? A post-hoc subgroup analysis of the START trial. The Lancet HIV. 5(4). e172–e180. 23 indexed citations
4.
Urzúa, Ulises, Sandra Ampuero, Katherine F. Roby, Garrison A. Owens, & David J. Munroe. (2016). Dysregulation of mitotic machinery genes precedes genome instability during spontaneous pre-malignant transformation of mouse ovarian surface epithelial cells. BMC Genomics. 17(S8). 728–728. 13 indexed citations
5.
Rodríguez, Diego A., Manuel Valenzuela, Ulises Urzúa, et al.. (2014). Survivin expression promotes VEGF-induced tumor angiogenesis via PI3K/Akt enhanced β-catenin/Tcf-Lef dependent transcription. Molecular Cancer. 13(1). 209–209. 128 indexed citations
6.
Shigunov, Patrícia, José Sotelo‐Silveira, Crisciele Kuligovski, et al.. (2011). PUMILIO-2 Is Involved in the Positive Regulation of Cellular Proliferation in Human Adipose-Derived Stem Cells. Stem Cells and Development. 21(2). 217–227. 30 indexed citations
7.
Kim, Chang Hee, Hark K. Kim, Rainer Rettig, et al.. (2011). miRNA signature associated with outcome of gastric cancer patients following chemotherapy. BMC Medical Genomics. 4(1). 79–79. 122 indexed citations
8.
Urzúa, Ulises, et al.. (2010). Microarray proteomic analysis discriminates tumorigenic mouse ovarian surface epithelial cells of divergent aggressive potential. Molecular BioSystems. 6(12). 2521–2528. 3 indexed citations
9.
Pérez, Paola, Juan‐Manuel Anaya, Sergio Aguilera, et al.. (2009). Gene expression and chromosomal location for susceptibility to Sjögren's syndrome. Journal of Autoimmunity. 33(2). 99–108. 51 indexed citations
10.
Gibson, Catherine, Alastair H. MacLennan, Gustaaf Dekker, et al.. (2007). Genetic Polymorphisms and Spontaneous Preterm Birth. Obstetrics and Gynecology. 109(2, Part 1). 384–391. 54 indexed citations
11.
Reilly, Karlyne M., Karl W. Broman, Roderick T. Bronson, et al.. (2006). An Imprinted Locus Epistatically Influences Nstr1 and Nstr2 to Control Resistance to Nerve Sheath Tumors in a Neurofibromatosis Type 1 Mouse Model. Cancer Research. 66(1). 62–68. 31 indexed citations
12.
Urzúa, Ulises, et al.. (2006). Differential gene expression in skeletal muscle cells after membrane depolarization. Journal of Cellular Physiology. 210(3). 819–830. 36 indexed citations
13.
Nakai, Hiroyuki, Xiaolin Wu, Sally Fuess, et al.. (2005). Large-Scale Molecular Characterization of Adeno-Associated Virus Vector Integration in Mouse Liver. Journal of Virology. 79(6). 3606–3614. 140 indexed citations
15.
Peng, Benjamin, David R. Hodge, Suneetha B. Thomas, et al.. (2004). Epigenetic Silencing of the Human Nucleotide Excision Repair Gene, hHR23B, in Interleukin-6-responsive Multiple Myeloma KAS-6/1 Cells. Journal of Biological Chemistry. 280(6). 4182–4187. 42 indexed citations
16.
Nickerson, Michael L., Michelle B. Warren, Jorge R. Toro, et al.. (2002). Mutations in a novel gene lead to kidney tumors, lung wall defects, and benign tumors of the hair follicle in patients with the Birt-Hogg-Dubé syndrome. Cancer Cell. 2(2). 157–164. 638 indexed citations breakdown →
18.
19.
Munroe, David J. & Allan Jacobson. (1990). mRNA Poly (A) Tail, a 3′ Enhancer of Translational Initiation. Molecular and Cellular Biology. 10(7). 3441–3455. 125 indexed citations
20.
Munroe, David J.. (1966). LANGUAGE AND EDUCATION IN SOUTH AFRICA. McGill Journal of Education / Revue des sciences de l'éducation de McGill. 1(2). 5 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026