Daniel Carr

1.6k total citations
8 papers, 627 citations indexed

About

Daniel Carr is a scholar working on Molecular Biology, Physiology and Aging. According to data from OpenAlex, Daniel Carr has authored 8 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Physiology and 4 papers in Aging. Recurrent topics in Daniel Carr's work include Genetics, Aging, and Longevity in Model Organisms (4 papers), Fungal and yeast genetics research (2 papers) and Genetic Neurodegenerative Diseases (1 paper). Daniel Carr is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (4 papers), Fungal and yeast genetics research (2 papers) and Genetic Neurodegenerative Diseases (1 paper). Daniel Carr collaborates with scholars based in United States and Germany. Daniel Carr's co-authors include Matt Kaeberlein, Brian K. Kennedy, George L. Sutphin, William R. Pendergrass, Christina Davis, Erica D. Smith, Brett Robison, Christopher J. Murakami, Marion Schmidt and Scott Tsuchiyama and has published in prestigious journals such as Genes & Development, PLoS Genetics and Allergy.

In The Last Decade

Daniel Carr

8 papers receiving 616 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Carr United States 7 438 313 164 104 65 8 627
Li-Wa Shao China 6 466 1.1× 282 0.9× 159 1.0× 116 1.1× 82 1.3× 8 668
Ara B. Hwang South Korea 9 570 1.3× 504 1.6× 265 1.6× 69 0.7× 121 1.9× 11 900
Scott Tsuchiyama United States 7 380 0.9× 224 0.7× 80 0.5× 90 0.9× 29 0.4× 7 486
Carlos G. Silva-García United States 8 385 0.9× 345 1.1× 147 0.9× 35 0.3× 90 1.4× 13 639
Geert Depuydt Belgium 9 367 0.8× 384 1.2× 199 1.2× 43 0.4× 128 2.0× 15 703
Sasha De Henau Belgium 11 273 0.6× 155 0.5× 77 0.5× 104 1.0× 38 0.6× 16 447
Gilberto Garcia United States 9 341 0.8× 217 0.7× 140 0.9× 201 1.9× 33 0.5× 20 568
Jessica Brunquell United States 9 253 0.6× 233 0.7× 112 0.7× 49 0.5× 56 0.9× 9 447
Keunhee Seo South Korea 9 220 0.5× 296 0.9× 107 0.7× 46 0.4× 108 1.7× 9 441
Cagdas Tazearslan United States 10 375 0.9× 187 0.6× 168 1.0× 31 0.3× 57 0.9× 13 623

Countries citing papers authored by Daniel Carr

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Carr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Carr. 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 Daniel Carr. The network helps show where Daniel Carr may publish in the future.

Co-authorship network of co-authors of Daniel Carr

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

All Works

8 of 8 papers shown
1.
Gracias, Donald T., Rinkesh Kumar Gupta, Daniel Carr, et al.. (2023). Anti‐CD3 inhibits circulatory and tissue‐resident memory CD4 T cells that drive asthma exacerbations in mice. Allergy. 78(8). 2168–2180. 8 indexed citations
2.
Hair, Pamela S., Daniel Carr, Katherine D. Watson, et al.. (2021). Delayed Hemolytic Transfusion Reaction in a Patient With Sickle Cell Disease and the Role of the Classical Complement Pathway: A Case Report. Journal of Hematology. 10(1). 18–21. 6 indexed citations
3.
Lee, Mitchell, et al.. (2017). A system to identify inhibitors of mTOR signaling using high-resolution growth analysis in Saccharomyces cerevisiae. GeroScience. 39(4). 419–428. 17 indexed citations
4.
Mukherjee, Shubhabrata, Daniel Carr, Jeremy D. Burgess, et al.. (2017). Systems biology approach to late‐onset Alzheimer's disease genome‐wide association study identifies novel candidate genes validated using brain expression data and Caenorhabditis elegans experiments. Alzheimer s & Dementia. 13(10). 1133–1142. 31 indexed citations
5.
Sunshine, Anna B., Giang T. Ong, Daniel P. Nickerson, et al.. (2016). Aneuploidy shortens replicative lifespan in Saccharomyces cerevisiae. Aging Cell. 15(2). 317–324. 19 indexed citations
6.
Sen, Payel, Weiwei Dang, Greg Donahue, et al.. (2015). H3K36 methylation promotes longevity by enhancing transcriptional fidelity. Genes & Development. 29(13). 1362–1376. 164 indexed citations
7.
Robison, Brett, Thomas Dange, Joe R. Delaney, et al.. (2011). Elevated Proteasome Capacity Extends Replicative Lifespan in Saccharomyces cerevisiae. PLoS Genetics. 7(9). e1002253–e1002253. 184 indexed citations
8.
Smith, Erica D., Christina Davis, Daniel Carr, et al.. (2008). Dietary restriction suppresses proteotoxicity and enhances longevity by an hsf‐1 ‐dependent mechanism in Caenorhabditis elegans. Aging Cell. 7(3). 394–404. 198 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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