David W. Threadgill

20.9k total citations · 3 hit papers
254 papers, 12.4k citations indexed

About

David W. Threadgill is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, David W. Threadgill has authored 254 papers receiving a total of 12.4k indexed citations (citations by other indexed papers that have themselves been cited), including 132 papers in Molecular Biology, 80 papers in Genetics and 37 papers in Oncology. Recurrent topics in David W. Threadgill's work include Genetic Mapping and Diversity in Plants and Animals (37 papers), Genetic and phenotypic traits in livestock (18 papers) and Animal Genetics and Reproduction (18 papers). David W. Threadgill is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (37 papers), Genetic and phenotypic traits in livestock (18 papers) and Animal Genetics and Reproduction (18 papers). David W. Threadgill collaborates with scholars based in United States, China and France. David W. Threadgill's co-authors include Terry Magnuson, Gary A. Churchill, James E. Womack, Robert J. Coffey, Stuart H. Yuspa, Robert W. Williams, Andrzej A. Dlugosz, Laura A. Hansen, Raymond C. Harris and Daekee Lee and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

David W. Threadgill

245 papers receiving 12.1k citations

Hit Papers

Targeted Disruption of Mo... 1995 2026 2005 2015 1995 2006 2005 250 500 750 1000

Author Peers

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

Author Last Decade Papers Cites
David W. Threadgill 5.8k 3.2k 1.7k 1.2k 916 254 12.4k
Takashi Morita 7.0k 1.2× 4.2k 1.3× 1.1k 0.6× 1.8k 1.6× 1.0k 1.1× 466 14.9k
Yun Li 6.9k 1.2× 5.0k 1.6× 800 0.5× 967 0.8× 1.4k 1.5× 286 14.2k
Shrikant Mane 6.5k 1.1× 2.8k 0.9× 1.2k 0.7× 1.3k 1.1× 489 0.5× 100 12.5k
John R. Walker 6.9k 1.2× 1.3k 0.4× 1.7k 1.0× 1.2k 1.0× 1.1k 1.2× 121 11.9k
Mark Daly 4.0k 0.7× 4.7k 1.4× 787 0.5× 1.5k 1.3× 1.2k 1.4× 6 12.1k
Pui–Yan Kwok 5.6k 1.0× 3.0k 0.9× 944 0.5× 1.7k 1.5× 919 1.0× 237 11.9k
María G. Castro 5.6k 1.0× 3.8k 1.2× 2.4k 1.4× 2.8k 2.4× 577 0.6× 407 13.4k
Sumio Sugano 8.2k 1.4× 2.1k 0.6× 1.3k 0.8× 1.2k 1.0× 788 0.9× 296 12.8k
Huaiyu Mi 8.5k 1.5× 2.1k 0.7× 876 0.5× 1.3k 1.1× 797 0.9× 41 13.6k
Anushya Muruganujan 8.0k 1.4× 2.1k 0.6× 806 0.5× 1.3k 1.1× 753 0.8× 17 12.8k

Countries citing papers authored by David W. Threadgill

Since Specialization
Citations

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

Fields of papers citing papers by David W. Threadgill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David W. Threadgill

This figure shows the co-authorship network connecting the top 25 collaborators of David W. Threadgill. A scholar is included among the top collaborators of David W. Threadgill 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 W. Threadgill. David W. Threadgill 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.
Hodo, Carolyn L., Jing Wu, Javier Vinasco, et al.. (2024). Diversity of Campylobacter spp. circulating in a rhesus macaque ( Macaca mulatta ) breeding colony using culture and molecular methods. mSphere. 9(11). e0056024–e0056024. 2 indexed citations
2.
Andrews‐Polymenis, Helene, et al.. (2023). Module representatives for refining gene co-expression modules. Physical Biology. 20(4). 45001–45001. 1 indexed citations
3.
Carroll, Raymond J., et al.. (2023). Baseline Gait and Motor Function Predict Long-Term Severity of Neurological Outcomes of Viral Infection. International Journal of Molecular Sciences. 24(3). 2843–2843. 1 indexed citations
4.
Kim, Yeon Sun, Jia Yuan, Jean‐Paul Borg, et al.. (2023). An unanticipated discourse of HB-EGF with VANGL2 signaling during embryo implantation. Proceedings of the National Academy of Sciences. 120(20). e2302937120–e2302937120. 9 indexed citations
5.
Wulfridge, Phillip, Rakel Tryggvadóttir, Adrian Idrizi, et al.. (2023). Precision pharmacological reversal of strain-specific diet-induced metabolic syndrome in mice informed by epigenetic and transcriptional regulation. PLoS Genetics. 19(10). e1010997–e1010997. 1 indexed citations
6.
Hullahalli, Karthik, Yuko Hasegawa, Masataka Suzuki, et al.. (2023). Genetic and immune determinants of E. coli liver abscess formation. Proceedings of the National Academy of Sciences. 120(51). e2310053120–e2310053120. 10 indexed citations
7.
Lynch, Rachel, Amy Peterson, L. Garry Adams, et al.. (2022). Elucidating Mechanisms of Tolerance to Salmonella Typhimurium across Long-Term Infections Using the Collaborative Cross. mBio. 13(4). e0112022–e0112022. 6 indexed citations
8.
Yan, Hui, Wanbao Yang, Fenghua Zhou, et al.. (2022). Estrogen Protects Cardiac Function and Energy Metabolism in Dilated Cardiomyopathy Induced by Loss of Cardiac IRS1 and IRS2. Circulation Heart Failure. 15(6). e008758–e008758. 16 indexed citations
9.
Barrington, William, Stephen P. Dearth, Gregory W. Carter, et al.. (2022). Independent and Interactive Effects of Genetic Background and Sex on Tissue Metabolomes of Adipose, Skeletal Muscle, and Liver in Mice. Metabolites. 12(4). 337–337.
10.
Morgan, Andrew P., John P. Didion, Karl J. Campbell, et al.. (2022). Population structure and inbreeding in wild house mice (Mus musculus) at different geographic scales. Heredity. 129(3). 183–194. 12 indexed citations
11.
Bunting, Mark D., G.I. Godahewa, Sandra Piltz, et al.. (2022). Leveraging a natural murine meiotic drive to suppress invasive populations. Proceedings of the National Academy of Sciences. 119(46). e2213308119–e2213308119. 19 indexed citations
12.
Arends, Danny, et al.. (2021). Sex-specific genetic architecture in response to American and ketogenic diets. International Journal of Obesity. 45(6). 1284–1297. 8 indexed citations
13.
Rojas, Carolina Mantilla, et al.. (2021). Epithelial-specific ERBB3 deletion results in a genetic background-dependent increase in intestinal and colon polyps that is mediated by EGFR. PLoS Genetics. 17(11). e1009931–e1009931. 3 indexed citations
14.
Blazier, John C., et al.. (2021). Extensive sex-specific and regional variations observed in the microbiome of Dermacentor reticulatus. Ticks and Tick-borne Diseases. 12(5). 101767–101767. 3 indexed citations
15.
Zhang, Kebin, Xiaoqin Guo, Hui Yan, et al.. (2019). Phosphorylation of Forkhead Protein FoxO1 at S253 Regulates Glucose Homeostasis in Mice. Endocrinology. 160(5). 1333–1347. 28 indexed citations
16.
Maurizio, Paul L., Martin T. Ferris, Gregory R. Keele, et al.. (2017). Bayesian Diallel Analysis Reveals Mx1 -Dependent and Mx1 -Independent Effects on Response to Influenza A Virus in Mice. G3 Genes Genomes Genetics. 8(2). 427–445. 15 indexed citations
17.
Kanavy, Dona, et al.. (2017). Developing gene drive technologies to eradicate invasive rodents from islands. Journal of Responsible Innovation. 5(sup1). S121–S138. 53 indexed citations
18.
Donohoe, Dallas R., Darcy Holley, Leonard B. Collins, et al.. (2014). A Gnotobiotic Mouse Model Demonstrates That Dietary Fiber Protects against Colorectal Tumorigenesis in a Microbiota- and Butyrate-Dependent Manner. Cancer Discovery. 4(12). 1387–1397. 359 indexed citations
19.
Dougherty, Urszula, Masha Kocherginsky, Amikar Sehdev, et al.. (2009). Epidermal Growth Factor Receptor Is Required for Colonic Tumor Promotion by Dietary Fat in the Azoxymethane/Dextran Sulfate Sodium Model: Roles of Transforming Growth Factor- and PTGS2. Clinical Cancer Research. 15(22). 6780–6789. 30 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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