Ted Brummel

2.1k total citations · 1 hit paper
10 papers, 1.7k citations indexed

About

Ted Brummel is a scholar working on Aging, Cellular and Molecular Neuroscience and Immunology. According to data from OpenAlex, Ted Brummel has authored 10 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Aging, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Immunology. Recurrent topics in Ted Brummel's work include Genetics, Aging, and Longevity in Model Organisms (6 papers), Invertebrate Immune Response Mechanisms (3 papers) and Neurobiology and Insect Physiology Research (3 papers). Ted Brummel is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (6 papers), Invertebrate Immune Response Mechanisms (3 papers) and Neurobiology and Insect Physiology Research (3 papers). Ted Brummel collaborates with scholars based in United States, Canada and Taiwan. Ted Brummel's co-authors include Seymour Benzer, Laurent Seroude, Gil B. Carvalho, William W. Ja, Michael B. O’Connor, Jeffrey L. Wrana, Anne F. Simon, Brian DeVeale, Pankaj Kapahi and Liliana Attisano and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Genes & Development.

In The Last Decade

Ted Brummel

10 papers receiving 1.6k citations

Hit Papers

Prandiology of Drosophila and the CAFE assay 2007 2026 2013 2019 2007 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ted Brummel United States 9 640 573 491 377 272 10 1.7k
Laurent Seroude Canada 16 692 1.1× 519 0.9× 389 0.8× 725 1.9× 313 1.2× 32 1.7k
Venkateswara R. Chintapalli United Kingdom 9 861 1.3× 618 1.1× 284 0.6× 153 0.4× 277 1.0× 11 1.6k
Yasmine Driege Belgium 16 471 0.7× 597 1.0× 254 0.5× 589 1.6× 463 1.7× 28 1.6k
Seogang Hyun South Korea 21 600 0.9× 699 1.2× 280 0.6× 129 0.3× 230 0.8× 37 1.6k
Kirst King‐Jones Canada 22 879 1.4× 927 1.6× 483 1.0× 129 0.3× 274 1.0× 43 1.9k
Takashi Koyama Denmark 24 531 0.8× 997 1.7× 495 1.0× 155 0.4× 341 1.3× 48 1.8k
Rebecca I. Clark United Kingdom 13 570 0.9× 289 0.5× 408 0.8× 372 1.0× 522 1.9× 15 1.5k
Ingo Zinke Germany 7 400 0.6× 351 0.6× 243 0.5× 180 0.5× 310 1.1× 8 963
Jason Karpac United States 17 684 1.1× 477 0.8× 374 0.8× 522 1.4× 713 2.6× 26 1.7k
Pablo Cabrero United Kingdom 26 483 0.8× 810 1.4× 451 0.9× 136 0.4× 271 1.0× 34 1.4k

Countries citing papers authored by Ted Brummel

Since Specialization
Citations

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

Fields of papers citing papers by Ted Brummel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ted Brummel

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

All Works

10 of 10 papers shown
1.
Bruce, Kimberley D., Sany Hoxha, Gil B. Carvalho, et al.. (2013). High carbohydrate–low protein consumption maximizes Drosophila lifespan. Experimental Gerontology. 48(10). 1129–1135. 103 indexed citations
2.
Carvalho, Gil B., Brian M. Zid, Ted Brummel, & William W. Ja. (2010). Reply to Piper et al.: Drosophila dietary restriction—Does it hold water?. Proceedings of the National Academy of Sciences. 107(14). 2 indexed citations
3.
Ja, William W., et al.. (2009). Water- and nutrient-dependent effects of dietary restriction on Drosophila lifespan. Proceedings of the National Academy of Sciences. 106(44). 18633–18637. 87 indexed citations
5.
Ja, William W., et al.. (2007). Prandiology of Drosophila and the CAFE assay. Proceedings of the National Academy of Sciences. 104(20). 8253–8256. 539 indexed citations breakdown →
6.
Brummel, Ted, et al.. (2004). Drosophila lifespan enhancement by exogenous bacteria. Proceedings of the National Academy of Sciences. 101(35). 12974–12979. 238 indexed citations
7.
DeVeale, Brian, Ted Brummel, & Laurent Seroude. (2004). Immunity and aging: the enemy within?. Aging Cell. 3(4). 195–208. 135 indexed citations
8.
Seroude, Laurent, Ted Brummel, Pankaj Kapahi, & Seymour Benzer. (2002). Spatio‐temporal analysis of gene expression during aging in Drosophila melanogaster. Aging Cell. 1(1). 47–56. 98 indexed citations
9.
Brummel, Ted, Theodor E. Haerry, Mary Jane Shimell, et al.. (1999). The Drosophila Activin receptor Baboon signals through dSmad2 and controls cell proliferation but not patterning during larval development. Genes & Development. 13(1). 98–111. 164 indexed citations
10.
Brummel, Ted, Vern Twombly, Guillermo Marqués, et al.. (1994). Characterization and relationship of dpp receptors encoded by the saxophone and thick veins genes in Drosophila. Cell. 78(2). 251–261. 279 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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