David C. Fargo

11.7k total citations · 1 hit paper
63 papers, 5.2k citations indexed

About

David C. Fargo is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, David C. Fargo has authored 63 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 8 papers in Cancer Research and 7 papers in Genetics. Recurrent topics in David C. Fargo's work include RNA Research and Splicing (16 papers), Genomics and Chromatin Dynamics (15 papers) and CRISPR and Genetic Engineering (11 papers). David C. Fargo is often cited by papers focused on RNA Research and Splicing (16 papers), Genomics and Chromatin Dynamics (15 papers) and CRISPR and Genetic Engineering (11 papers). David C. Fargo collaborates with scholars based in United States, China and Canada. David C. Fargo's co-authors include Karen Adelman, Adam Burkholder, Daniel A. Gilchrist, Gilberto dos Santos, Yuan Gao, Sergei Nechaev, Dmitry A. Gordenin, Leping Li, Leszek J. Klimczak and Ginger W. Muse and has published in prestigious journals such as Science, New England Journal of Medicine and Cell.

In The Last Decade

David C. Fargo

61 papers receiving 5.1k citations

Hit Papers

An APOBEC cytidine deaminase mutagenesis pattern is wides... 2013 2026 2017 2021 2013 250 500 750

Peers

David C. Fargo
Rory Stark United Kingdom
Kaifu Chen United States
Nigel P. Mongan United Kingdom
Jan Willem Voncken Netherlands
Zuzana Tóthová United States
David C. Fargo
Citations per year, relative to David C. Fargo David C. Fargo (= 1×) peers Jens Vilstrup Johansen

Countries citing papers authored by David C. Fargo

Since Specialization
Citations

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

Fields of papers citing papers by David C. Fargo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David C. Fargo

This figure shows the co-authorship network connecting the top 25 collaborators of David C. Fargo. A scholar is included among the top collaborators of David C. Fargo 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 C. Fargo. David C. Fargo 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.
House, John S., Farida S. Akhtari, Charles Schmitt, et al.. (2024). Interactive data sharing for multiple questionnaire-based exposome-wide association studies and exposome correlations in the Personalized Environment and Genes Study. PubMed. 4(1). osae003–osae003. 1 indexed citations
2.
Lee, Eunice, Adam Burkholder, L. Perera, et al.. (2023). Race/ethnicity-stratified fine-mapping of the MHC locus reveals genetic variants associated with late-onset asthma. Frontiers in Genetics. 14. 1173676–1173676. 5 indexed citations
3.
Akhtari, Farida S., David C. Fargo, Charles Schmitt, et al.. (2022). The skin is no barrier to mixtures: Air pollutant mixtures and reported psoriasis or eczema in the Personalized Environment and Genes Study (PEGS). Journal of Exposure Science & Environmental Epidemiology. 33(3). 474–481. 18 indexed citations
4.
Saini, Natalie, Leszek J. Klimczak, Brian N. Papas, et al.. (2021). UV-exposure, endogenous DNA damage, and DNA replication errors shape the spectra of genome changes in human skin. PLoS Genetics. 17(1). e1009302–e1009302. 35 indexed citations
5.
Yang, Jun, Brian D. Bennett, James M. Ward, et al.. (2020). Ancestry-dependent gene expression correlates with reprogramming to pluripotency and multiple dynamic biological processes. Science Advances. 6(47). 21 indexed citations
6.
Williams, Jessica S., Scott A. Lujan, Zhi-Xiong Zhou, et al.. (2019). Genome-wide mutagenesis resulting from topoisomerase 1-processing of unrepaired ribonucleotides in DNA. DNA repair. 84. 102641–102641. 13 indexed citations
7.
Henriques, Telmo, Benjamin S. Scruggs, Michiko O Inouye, et al.. (2018). Widespread transcriptional pausing and elongation control at enhancers. Genes & Development. 32(1). 26–41. 232 indexed citations
8.
Tang, Shuang, Yi Fang, Gang Huang, et al.. (2017). Methionine metabolism is essential for SIRT 1‐regulated mouse embryonic stem cell maintenance and embryonic development. The EMBO Journal. 36(21). 3175–3193. 63 indexed citations
9.
Ji, Ming, Erik J. Tokar, Evan L. Busch, et al.. (2017). Haploinsufficiency of SIRT1 Enhances Glutamine Metabolism and Promotes Cancer Development. Current Biology. 27(4). 483–494. 46 indexed citations
10.
Lavender, Christopher A., Jackson A. Hoffman, Kevin W. Trotter, et al.. (2016). Downstream Antisense Transcription Predicts Genomic Features That Define the Specific Chromatin Environment at Mammalian Promoters. PLoS Genetics. 12(8). e1006224–e1006224. 14 indexed citations
11.
Bunch, Heeyoun, Brian Lawney, Adam Burkholder, et al.. (2016). RNA polymerase II promoter-proximal pausing in mammalian long non-coding genes. Genomics. 108(2). 64–77. 40 indexed citations
12.
Chan, Kin, Steven A. Roberts, Leszek J. Klimczak, et al.. (2015). An APOBEC3A hypermutation signature is distinguishable from the signature of background mutagenesis by APOBEC3B in human cancers. Nature Genetics. 47(9). 1067–1072. 284 indexed citations
13.
Tang, Shuang, Gang Huang, Wei Fan, et al.. (2014). SIRT1-Mediated Deacetylation of CRABPII Regulates Cellular Retinoic Acid Signaling and Modulates Embryonic Stem Cell Differentiation. Molecular Cell. 55(6). 843–855. 56 indexed citations
14.
Bunch, Heeyoun, Xiaofeng Zheng, Adam Burkholder, et al.. (2014). TRIM28 regulates RNA polymerase II promoter-proximal pausing and pause release. Nature Structural & Molecular Biology. 21(10). 876–883. 109 indexed citations
15.
Wang, Li, Yi‐Liang Miao, Xiaofeng Zheng, et al.. (2013). The THO Complex Regulates Pluripotency Gene mRNA Export and Controls Embryonic Stem Cell Self-Renewal and Somatic Cell Reprogramming. Cell stem cell. 13(6). 676–690. 74 indexed citations
16.
Gilchrist, Daniel A., Gilberto dos Santos, David C. Fargo, et al.. (2010). Pausing of RNA Polymerase II Disrupts DNA-Specified Nucleosome Organization to Enable Precise Gene Regulation. Cell. 143(4). 540–551. 319 indexed citations
17.
Nechaev, Sergei, David C. Fargo, Gilberto dos Santos, et al.. (2009). Global Analysis of Short RNAs Reveals Widespread Promoter-Proximal Stalling and Arrest of Pol II in Drosophila. Science. 327(5963). 335–338. 334 indexed citations
18.
Fargo, David C., et al.. (2000). Mutations that alter the higher-order structure of its 5' untranslated region affect the stability of chloroplast rps7 mRNA. Molecular Genetics and Genomics. 264(3). 291–299. 4 indexed citations
20.
Fargo, David C., et al.. (1998). Shine-Dalgarno-like sequences are not required for translation of chloroplast mRNAs in Chlamydomonas reinhardtii chloroplasts or in Escherichia coli. Molecular and General Genetics MGG. 257(3). 271–282. 72 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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