Susan Broughton

2.6k total citations · 1 hit paper
23 papers, 2.0k citations indexed

About

Susan Broughton is a scholar working on Cellular and Molecular Neuroscience, Aging and Molecular Biology. According to data from OpenAlex, Susan Broughton has authored 23 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cellular and Molecular Neuroscience, 10 papers in Aging and 7 papers in Molecular Biology. Recurrent topics in Susan Broughton's work include Genetics, Aging, and Longevity in Model Organisms (10 papers), Neurobiology and Insect Physiology Research (10 papers) and Circadian rhythm and melatonin (6 papers). Susan Broughton is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (10 papers), Neurobiology and Insect Physiology Research (10 papers) and Circadian rhythm and melatonin (6 papers). Susan Broughton collaborates with scholars based in United Kingdom, United States and Germany. Susan Broughton's co-authors include Linda Partridge, T. Daniel Andrews, Sebastian Grönke, Tomoatsu Ikeya, Timothy M. Bass, Yasmine Driege, Ernst Hafen, Nazif Alic, Sally J. Leevers and Pedro Martı́nez and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Current Biology.

In The Last Decade

Susan Broughton

23 papers receiving 1.9k citations

Hit Papers

Longer lifespan, altered metabolism, and stress resistanc... 2005 2026 2012 2019 2005 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Susan Broughton United Kingdom 14 1.1k 875 486 432 342 23 2.0k
Timothy M. Bass United Kingdom 6 670 0.6× 860 1.0× 384 0.8× 295 0.7× 204 0.6× 8 1.6k
C.‐M. Yin United States 15 864 0.8× 942 1.1× 487 1.0× 492 1.1× 127 0.4× 33 2.0k
Meng‐Ping Tu United States 10 1.1k 1.0× 1.6k 1.8× 878 1.8× 635 1.5× 253 0.7× 13 3.0k
David J. Clancy United Kingdom 19 412 0.4× 1.3k 1.4× 765 1.6× 836 1.9× 132 0.4× 26 2.7k
Erik C. Johnson United States 19 1.3k 1.2× 221 0.3× 365 0.8× 340 0.8× 189 0.6× 30 1.7k
Michael R. Koelle United States 27 1.2k 1.2× 1.3k 1.5× 1.6k 3.3× 339 0.8× 181 0.5× 44 3.4k
Roland J. Bainton United States 22 1.3k 1.2× 245 0.3× 1.1k 2.3× 235 0.5× 307 0.9× 30 2.5k
Anne F. Simon United States 16 859 0.8× 280 0.3× 297 0.6× 513 1.2× 175 0.5× 28 1.6k
Dae‐Sung Hwangbo United States 10 335 0.3× 675 0.8× 496 1.0× 176 0.4× 191 0.6× 13 1.3k
Mike Grotewiel United States 17 555 0.5× 429 0.5× 409 0.8× 189 0.4× 97 0.3× 29 1.2k

Countries citing papers authored by Susan Broughton

Since Specialization
Citations

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

Fields of papers citing papers by Susan Broughton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susan Broughton

This figure shows the co-authorship network connecting the top 25 collaborators of Susan Broughton. A scholar is included among the top collaborators of Susan Broughton 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 Susan Broughton. Susan Broughton 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.
Borland, Gillian, Susan Broughton, Tobias von der Haar, et al.. (2024). Disruption of tRNA biogenesis enhances proteostatic resilience, improves later-life health, and promotes longevity. PLoS Biology. 22(10). e3002853–e3002853. 1 indexed citations
2.
Holland, Carol, et al.. (2024). Understanding exogenous factors and biological mechanisms for cognitive frailty: A multidisciplinary scoping review. Ageing Research Reviews. 101. 102461–102461. 7 indexed citations
4.
Brown, Casey, et al.. (2022). Reduced Insulin Signaling Targeted to Serotonergic Neurons but Not Other Neuronal Subtypes Extends Lifespan in Drosophila melanogaster. Frontiers in Aging Neuroscience. 14. 893444–893444. 3 indexed citations
5.
Broughton, Susan, et al.. (2022). Response to thermal and infection stresses in an American vector of visceral leishmaniasis. Medical and Veterinary Entomology. 37(2). 238–251. 3 indexed citations
6.
Phillips, George, et al.. (2020). Partial Inhibition of RNA Polymerase I Promotes Animal Health and Longevity. Cell Reports. 30(6). 1661–1669.e4. 28 indexed citations
7.
Hodges, Matt, et al.. (2019). Loss of angiotensin-converting enzyme-related (ACER) peptidase disrupts behavioural and metabolic responses to diet in Drosophila melanogaster. Journal of Experimental Biology. 222(Pt 8). 10 indexed citations
8.
Clapcote, Steven J., et al.. (2019). Ketamine Restores Thalamic-Prefrontal Cortex Functional Connectivity in a Mouse Model of Neurodevelopmental Disorder-Associated 2p16.3 Deletion. Cerebral Cortex. 30(4). 2358–2371. 15 indexed citations
9.
Liao, Sifang, Susan Broughton, & Dick R. Nässel. (2017). Behavioral Senescence and Aging-Related Changes in Motor Neurons and Brain Neuromodulator Levels Are Ameliorated by Lifespan-Extending Reproductive Dormancy in Drosophila. Frontiers in Cellular Neuroscience. 11. 111–111. 20 indexed citations
10.
Morris, J.A., et al.. (2015). Microbes, molecular mimicry and molecules of mood and motivation. Medical Hypotheses. 87. 40–43. 9 indexed citations
11.
Hodges, Matt, et al.. (2015). The Drosophila Insulin Receptor Independently Modulates Lifespan and Locomotor Senescence. PLoS ONE. 10(5). e0125312–e0125312. 27 indexed citations
12.
Alic, Nazif, Jennifer M. A. Tullet, Teresa Niccoli, et al.. (2014). Cell-Nonautonomous Effects of dFOXO/DAF-16 in Aging. Cell Reports. 6(4). 608–616. 42 indexed citations
13.
Grönke, Sebastian, et al.. (2010). Molecular Evolution and Functional Characterization of Drosophila Insulin-Like Peptides. PLoS Genetics. 6(2). e1000857–e1000857. 480 indexed citations
14.
Broughton, Susan, Cathy Slack, Nazif Alic, et al.. (2010). DILP‐producing median neurosecretory cells in the Drosophila brain mediate the response of lifespan to nutrition. Aging Cell. 9(3). 336–346. 104 indexed citations
15.
Broughton, Susan, Nazif Alic, Cathy Slack, et al.. (2008). Reduction of DILP2 in Drosophila Triages a Metabolic Phenotype from Lifespan Revealing Redundancy and Compensation among DILPs. PLoS ONE. 3(11). e3721–e3721. 158 indexed citations
16.
Broughton, Susan, Matthew D. W. Piper, Tomoatsu Ikeya, et al.. (2005). Longer lifespan, altered metabolism, and stress resistance in Drosophila from ablation of cells making insulin-like ligands. Proceedings of the National Academy of Sciences. 102(8). 3105–3110. 637 indexed citations breakdown →
17.
Broughton, Susan, Toshihiro Kitamoto, & Ralph J. Greenspan. (2004). Excitatory and Inhibitory Switches for Courtship in the Brain of Drosophila melanogaster. Current Biology. 14(7). 538–547. 62 indexed citations
18.
Broughton, Susan, Tim Tully, & Ralph J. Greenspan. (2003). CONDITIONING DEFICITS OF CaM-KINASE TRANSGENIC DROSOPHILA MELANOGASTER IN A NEW EXCITATORY COURTSHIP ASSAY. Journal of Neurogenetics. 17(1). 91–102. 14 indexed citations
19.
Broughton, Susan, et al.. (2003). CONDITIONING DEFICITS OF CaM-KINASE TRANSGENIC DROSOPHILA MELANOGASTER IN A NEW EXCITATORY COURTSHIP ASSAY. Journal of Neurogenetics. 17(1). 91–102. 2 indexed citations
20.

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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