David A. Buchner

2.0k total citations
44 papers, 1.4k citations indexed

About

David A. Buchner is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, David A. Buchner has authored 44 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 11 papers in Physiology and 8 papers in Genetics. Recurrent topics in David A. Buchner's work include Adipose Tissue and Metabolism (8 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers) and RNA Research and Splicing (5 papers). David A. Buchner is often cited by papers focused on Adipose Tissue and Metabolism (8 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers) and RNA Research and Splicing (5 papers). David A. Buchner collaborates with scholars based in United States, Italy and Israel. David A. Buchner's co-authors include Miriam H. Meisler, Joseph H. Nadeau, Michelle Trudeau, Dov Tiosano, John E. Ware, Thomas F. Goss, Colleen M. Croniger, Jason A. Mears, Leslie K. Sprunger and Lindsay C. Burrage and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

David A. Buchner

44 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David A. Buchner United States 25 725 273 240 192 137 44 1.4k
Jumana Y. Al‐Aama Saudi Arabia 25 839 1.2× 190 0.7× 326 1.4× 134 0.7× 87 0.6× 87 1.6k
Jin Huang China 21 510 0.7× 195 0.7× 177 0.7× 280 1.5× 235 1.7× 70 2.2k
Lena Samuelsson Sweden 25 978 1.3× 312 1.1× 523 2.2× 203 1.1× 91 0.7× 45 2.4k
U. Junker Germany 20 861 1.2× 218 0.8× 205 0.9× 68 0.4× 144 1.1× 45 1.8k
Selma M. Soyal Austria 23 1.1k 1.5× 336 1.2× 681 2.8× 138 0.7× 148 1.1× 43 2.4k
Sirui Zhou China 24 640 0.9× 242 0.9× 504 2.1× 230 1.2× 142 1.0× 84 1.8k
Donald R. Dunbar United Kingdom 23 1.0k 1.4× 197 0.7× 215 0.9× 483 2.5× 126 0.9× 37 2.6k
Brahim Tabarki Saudi Arabia 24 567 0.8× 111 0.4× 240 1.0× 258 1.3× 72 0.5× 89 1.8k
Ishwar C. Verma India 20 625 0.9× 155 0.6× 386 1.6× 94 0.5× 65 0.5× 139 1.7k
Shen‐Long Howng Taiwan 24 631 0.9× 184 0.7× 82 0.3× 197 1.0× 102 0.7× 131 1.9k

Countries citing papers authored by David A. Buchner

Since Specialization
Citations

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

Fields of papers citing papers by David A. Buchner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David A. Buchner

This figure shows the co-authorship network connecting the top 25 collaborators of David A. Buchner. A scholar is included among the top collaborators of David A. Buchner 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 A. Buchner. David A. Buchner 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.
Charrier, Alyssa, et al.. (2024). Molecular regulation of PPARγ/RXRα signaling by the novel cofactor ZFP407. PLoS ONE. 19(5). e0294003–e0294003. 2 indexed citations
2.
Mast, Natalia, et al.. (2022). Low-Dose Anti-HIV Drug Efavirenz Mitigates Retinal Vascular Lesions in a Mouse Model of Alzheimer’s Disease. Frontiers in Pharmacology. 13. 902254–902254. 9 indexed citations
3.
Mumme, Marcus, Cristina Manferdini, Salim Darwiche, et al.. (2021). Engineered nasal cartilage for the repair of osteoarthritic knee cartilage defects. Science Translational Medicine. 13(609). eaaz4499–eaaz4499. 33 indexed citations
4.
Bartlett, Jacquelaine, et al.. (2020). A Novel Mapping Strategy Utilizing Mouse Chromosome Substitution Strains Identifies Multiple Epistatic Interactions That Regulate Complex Traits. G3 Genes Genomes Genetics. 10(12). 4553–4563. 4 indexed citations
5.
Farabaugh, Kenneth T., Dawid Krokowski, Bo‐Jhih Guan, et al.. (2020). PACT-mediated PKR activation acts as a hyperosmotic stress intensity sensor weakening osmoadaptation and enhancing inflammation. eLife. 9. 20 indexed citations
6.
Forrest, Megan E., Alina Saiakhova, Lydia Beard, et al.. (2018). Colon Cancer-Upregulated Long Non-Coding RNA lincDUSP Regulates Cell Cycle Genes and Potentiates Resistance to Apoptosis. Scientific Reports. 8(1). 7324–7324. 32 indexed citations
7.
Williams, Scott M., et al.. (2017). Widespread epistasis regulates glucose homeostasis and gene expression. PLoS Genetics. 13(9). e1007025–e1007025. 7 indexed citations
8.
Charrier, Alyssa, Li Wang, Erin J. Stephenson, et al.. (2016). Zinc finger protein 407 overexpression upregulates PPAR target gene expression and improves glucose homeostasis in mice. American Journal of Physiology-Endocrinology and Metabolism. 311(5). E869–E880. 14 indexed citations
9.
Buchner, David A. & Joseph H. Nadeau. (2015). Contrasting genetic architectures in different mouse reference populations used for studying complex traits. Genome Research. 25(6). 775–791. 43 indexed citations
10.
Buchner, David A., et al.. (2015). Transgenerational inheritance of metabolic disease. Seminars in Cell and Developmental Biology. 43. 131–140. 45 indexed citations
11.
Buchner, David A., Alyssa Charrier, Ethan Srinivasan, et al.. (2015). Zinc Finger Protein 407 (ZFP407) Regulates Insulin-stimulated Glucose Uptake and Glucose Transporter 4 (Glut4) mRNA. Journal of Biological Chemistry. 290(10). 6376–6386. 33 indexed citations
12.
Tokunaga, Masakuni, Mayumi Inoue, Yibin Jiang, et al.. (2014). Fat depot-specific gene signature and ECM remodeling of Sca1high adipose-derived stem cells. Matrix Biology. 36. 28–38. 26 indexed citations
13.
Buchner, David A., Jonathan M. Geisinger, Lindsay C. Burrage, et al.. (2011). Deep congenic analysis identifies many strong, context-dependent QTLs, one of which, Slc35b4 , regulates obesity and glucose homeostasis. Genome Research. 21(7). 1065–1073. 44 indexed citations
14.
15.
Nadeau, Joseph H., et al.. (2010). Ancestral paternal genotype controls body weight and food intake for multiple generations. Human Molecular Genetics. 19(21). 4134–4144. 49 indexed citations
16.
Markiewski, Maciej M., David A. Buchner, Haiyan Shao, et al.. (2009). Diet-induced hepatocellular carcinoma in genetically predisposed mice. Human Molecular Genetics. 18(16). 2975–2988. 122 indexed citations
17.
Meisler, Miriam H., Nicholas W. Plummer, Daniel L. Burgess, David A. Buchner, & Leslie K. Sprunger. (2004). Allelic mutations of the sodium channel SCN8A reveal multiple cellular and physiological functions. Genetica. 122(1). 37–45. 54 indexed citations
18.
Buchner, David A., Michelle Trudeau, & Miriam H. Meisler. (2003). SCNM1, a Putative RNA Splicing Factor That Modifies Disease Severity in Mice. Science. 301(5635). 967–969. 112 indexed citations
19.
Buchner, David A., Michelle Trudeau, Alfred L. George, Leslie K. Sprunger, & Miriam H. Meisler. (2003). High-resolution mapping of the sodium channel modifier Scnm1 on mouse chromosome 3 and identification of a 1.3-kb recombination hot spot. Genomics. 82(4). 452–459. 12 indexed citations
20.
Buchner, David A. & Miriam H. Meisler. (2003). TSRC1, a widely expressed gene containing seven thrombospondin type I repeats. Gene. 307. 23–30. 26 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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