David E. Condon

488 total citations
13 papers, 342 citations indexed

About

David E. Condon is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Obstetrics and Gynecology. According to data from OpenAlex, David E. Condon has authored 13 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Pediatrics, Perinatology and Child Health and 2 papers in Obstetrics and Gynecology. Recurrent topics in David E. Condon's work include RNA and protein synthesis mechanisms (5 papers), RNA modifications and cancer (4 papers) and DNA and Nucleic Acid Chemistry (3 papers). David E. Condon is often cited by papers focused on RNA and protein synthesis mechanisms (5 papers), RNA modifications and cancer (4 papers) and DNA and Nucleic Acid Chemistry (3 papers). David E. Condon collaborates with scholars based in United States, Poland and Malaysia. David E. Condon's co-authors include Douglas H. Turner, Scott D. Kennedy, Ryszard Kierzek, Brendan C. Mort, Ilyas Yildirim, Rebecca A. Simmons, Philip C. Bevilacqua, Yu‐Chin Lien, Michael Georgieff and Phu V. Tran and has published in prestigious journals such as PLoS ONE, The Journal of Physical Chemistry B and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

David E. Condon

12 papers receiving 341 citations

Peers

David E. Condon
C. Eckhoff Germany
Yingju Li United States
Ruihuan Gu China
Francisca Plaza-Parrochia Chile
Luping Cong China
Christopher Krapp United States
Jian Jenny Tang United States
Jael Miranda Mexico
Alex Muñoz Chile
Xiaotian Ni China
C. Eckhoff Germany
David E. Condon
Citations per year, relative to David E. Condon David E. Condon (= 1×) peers C. Eckhoff

Countries citing papers authored by David E. Condon

Since Specialization
Citations

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

Fields of papers citing papers by David E. Condon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David E. Condon

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

All Works

13 of 13 papers shown
1.
Condon, David E., Brenda K. Schroeder, Paul A. Rowley, & F. Marty Ytreberg. (2025). Discovery of novel targets for important human and plant fungal pathogens via an automated computational pipeline HitList. PLoS ONE. 20(6). e0323991–e0323991.
2.
Cherukuri, Praveen F., David E. Condon, Shaopeng Gu, et al.. (2022). Establishing analytical validity of BeadChip array genotype data by comparison to whole-genome sequence and standard benchmark datasets. BMC Medical Genomics. 15(1). 56–56. 5 indexed citations
3.
Pinney, Sara E., et al.. (2020). Exposure to Gestational Diabetes Enriches Immune-Related Pathways in the Transcriptome and Methylome of Human Amniocytes. The Journal of Clinical Endocrinology & Metabolism. 105(10). 3250–3264. 13 indexed citations
4.
Bansal, Amita, et al.. (2019). In utero Bisphenol A Exposure Is Linked with Sex Specific Changes in the Transcriptome and Methylome of Human Amniocytes. The Journal of Clinical Endocrinology & Metabolism. 105(2). 453–467. 9 indexed citations
5.
Lien, Yu‐Chin, David E. Condon, Michael Georgieff, Rebecca A. Simmons, & Phu V. Tran. (2019). Dysregulation of Neuronal Genes by Fetal-Neonatal Iron Deficiency Anemia Is Associated with Altered DNA Methylation in the Rat Hippocampus. Nutrients. 11(5). 1191–1191. 26 indexed citations
6.
Condon, David E., Phu V. Tran, Yu‐Chin Lien, et al.. (2018). Defiant: (DMRs: easy, fast, identification and ANnoTation) identifies differentially Methylated regions from iron-deficient rat hippocampus. BMC Bioinformatics. 19(1). 31–31. 26 indexed citations
7.
Stuart, Tami, et al.. (2018). Diet-induced obesity alters the maternal metabolome and early placenta transcriptome and decreases placenta vascularity in the mouse†. Biology of Reproduction. 98(6). 795–809. 52 indexed citations
8.
Pinamonti, Giovanni, David E. Condon, Fabian Paul, et al.. (2016). Predicting the Kinetics of RNA Oligonucleotides Using Markov State Models. Journal of Chemical Theory and Computation. 13(2). 926–934. 22 indexed citations
9.
Condon, David E., Scott D. Kennedy, Brendan C. Mort, et al.. (2015). Stacking in RNA: NMR of Four Tetramers Benchmark Molecular Dynamics. Journal of Chemical Theory and Computation. 11(6). 2729–2742. 89 indexed citations
10.
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12.
Condon, David E., Ilyas Yildirim, Scott D. Kennedy, et al.. (2013). Optimization of an AMBER Force Field for the Artificial Nucleic Acid, LNA, and Benchmarking with NMR of L(CAAU). The Journal of Physical Chemistry B. 118(5). 1216–1228. 29 indexed citations
13.
Condon, David E., et al.. (2009). Photoresponsive interpenetrating network photonic crystal. 418–421. 1 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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