Joy Alcedo

2.5k total citations
26 papers, 1.8k citations indexed

About

Joy Alcedo is a scholar working on Aging, Endocrine and Autonomic Systems and Molecular Biology. According to data from OpenAlex, Joy Alcedo has authored 26 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Aging, 11 papers in Endocrine and Autonomic Systems and 7 papers in Molecular Biology. Recurrent topics in Joy Alcedo's work include Genetics, Aging, and Longevity in Model Organisms (14 papers), Circadian rhythm and melatonin (10 papers) and Neurobiology and Insect Physiology Research (5 papers). Joy Alcedo is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (14 papers), Circadian rhythm and melatonin (10 papers) and Neurobiology and Insect Physiology Research (5 papers). Joy Alcedo collaborates with scholars based in United States, Switzerland and United Kingdom. Joy Alcedo's co-authors include Cynthia Kenyon, Markus Noll, Joan E. Hooper, Tonia Von Ohlen, Karen E. Wetterhahn, Astrid Cornils, Yun Zhang, Wolfgang Maier, Yu Zou and Joshua W. Hamilton and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Joy Alcedo

26 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joy Alcedo United States 19 974 694 405 250 237 26 1.8k
Jo Anne Powell‐Coffman United States 21 726 0.7× 773 1.1× 287 0.7× 478 1.9× 111 0.5× 34 1.8k
Cathy Slack United Kingdom 16 1.0k 1.0× 1.1k 1.5× 336 0.8× 451 1.8× 524 2.2× 23 2.2k
Tony L. Parkes Canada 13 546 0.6× 522 0.8× 97 0.2× 208 0.8× 209 0.9× 15 1.1k
Eva Terzibasi Tozzini Italy 21 1.3k 1.3× 429 0.6× 124 0.3× 453 1.8× 441 1.9× 44 2.8k
Janne M. Toivonen Spain 19 1.2k 1.2× 596 0.9× 168 0.4× 338 1.4× 332 1.4× 41 2.1k
Phil S. Hartman United States 16 747 0.8× 698 1.0× 128 0.3× 189 0.8× 67 0.3× 29 1.2k
Tetsunari Fukushige United States 21 1.3k 1.3× 1.3k 1.8× 328 0.8× 162 0.6× 76 0.3× 33 1.9k
Paschalis Kratsios United States 18 1.0k 1.1× 630 0.9× 334 0.8× 210 0.8× 272 1.1× 38 1.6k
Luke S. Tain United Kingdom 17 670 0.7× 279 0.4× 124 0.3× 213 0.9× 227 1.0× 21 1.3k
Aylin R. Rodan United States 21 1.2k 1.2× 1.1k 1.5× 442 1.1× 425 1.7× 657 2.8× 60 2.5k

Countries citing papers authored by Joy Alcedo

Since Specialization
Citations

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

Fields of papers citing papers by Joy Alcedo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joy Alcedo

This figure shows the co-authorship network connecting the top 25 collaborators of Joy Alcedo. A scholar is included among the top collaborators of Joy Alcedo 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 Joy Alcedo. Joy Alcedo 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
2.
Ewald, Collin Y., John M Hourihan, Iskra Katic, et al.. (2017). NADPH oxidase-mediated redox signaling promotes oxidative stress resistance and longevity through memo-1 in C. elegans. eLife. 6. 65 indexed citations
3.
Artan, Murat, Dae‐Eun Jeong, Dong-Yeop Lee, et al.. (2016). Food-derived sensory cues modulate longevity via distinct neuroendocrine insulin-like peptides. Genes & Development. 30(9). 1047–1057. 35 indexed citations
4.
Zhang, Yun, et al.. (2014). Sensory systems: their impact on C. elegans survival. Neuroscience. 296. 15–25. 18 indexed citations
5.
Hendricks, Michael, et al.. (2013). Two Insulin-like Peptides Antagonistically Regulate Aversive Olfactory Learning in C. elegans. Neuron. 77(3). 572–585. 98 indexed citations
6.
Alcedo, Joy, Thomas Flatt, & E. G. Pasyukova. (2013). Neuronal Inputs and Outputs of Aging and Longevity. Frontiers in Genetics. 4. 71–71. 29 indexed citations
7.
Alcedo, Joy, Thomas Flatt, & E. G. Pasyukova. (2013). The role of the nervous system in aging and longevity. Frontiers in Genetics. 4. 124–124. 16 indexed citations
8.
Fierro-González, Juan Carlos, Astrid Cornils, Joy Alcedo, Antonio Miranda–Vizuete, & Peter Swoboda. (2011). The Thioredoxin TRX-1 Modulates the Function of the Insulin-Like Neuropeptide DAF-28 during Dauer Formation in Caenorhabditis elegans. PLoS ONE. 6(1). e16561–e16561. 18 indexed citations
9.
Cornils, Astrid, et al.. (2011). Specific insulin-like peptides encode sensory information to regulate distinct developmental processes. Development. 138(6). 1183–1193. 101 indexed citations
10.
Alcedo, Joy, Wolfgang Maier, & Quee-Lim Ch'ng. (2010). PROTEIN METABOLISM AND HOMEOSTASIS IN AGING. Springer US. 1 indexed citations
11.
Noll, Hans, Joy Alcedo, Michael Daube, et al.. (2007). The toposome, essential for sea urchin cell adhesion and development, is a modified iron-less calcium-binding transferrin. Developmental Biology. 310(1). 54–70. 30 indexed citations
12.
Alcedo, Joy & Cynthia Kenyon. (2004). Regulation of C. elegans Longevity by Specific Gustatory and Olfactory Neurons. Neuron. 41(1). 45–55. 286 indexed citations
13.
Alcedo, Joy, Yu Zou, & Markus Noll. (2000). Posttranscriptional Regulation of Smoothened Is Part of a Self-Correcting Mechanism in the Hedgehog Signaling System. Molecular Cell. 6(2). 457–465. 91 indexed citations
14.
Alcedo, Joy, et al.. (1997). Review. Biological Chemistry. 378(7). 69 indexed citations
15.
Alcedo, Joy, et al.. (1996). The Drosophila smoothened Gene Encodes a Seven-Pass Membrane Protein, a Putative Receptor for the Hedgehog Signal. Cell. 86(2). 221–232. 482 indexed citations
16.
Alcedo, Joy, Manoj Misra, Joshua W. Hamilton, & Karen E. Wetterhahn. (1994). The genotoxic carcinogen chromium(VI) alters the metal-inducible expression but not the basal expression of the metailothionein gene in vivo. Carcinogenesis. 15(5). 1089–1092. 29 indexed citations
17.
Misra, Manoj, Joy Alcedo, & Karen E. Wetterhahn. (1994). Two pathways for chromium(VI)-induced DNA damage in 14 day chick embryos: Cr—DNA binding in liver and 8-0X0-2’-deoxyguanosine in red blood cells. Carcinogenesis. 15(12). 2911–2917. 27 indexed citations
18.
Hamilton, Joshua W., William J. Bement, Peter R. Sinclair, et al.. (1992). Inhibition of protein synthesis increases the transcription of the phenobarbital-inducible CYP2H1 and CYP2H2 genes in chick embryo hepatocytes. Archives of Biochemistry and Biophysics. 298(1). 96–104. 16 indexed citations
19.
Hamilton, Joshua W., William J. Bement, Peter R. Sinclair, et al.. (1991). Heme regulates hepatic 5-aminolevulinate synthase mRNA expression by decreasing mRNA half-life and not by altering its rate of transcription. Archives of Biochemistry and Biophysics. 289(2). 387–392. 98 indexed citations
20.
Alcedo, Joy & Karen E. Wetterhahn. (1990). Chromium Toxicity and Carcinogenesis. PubMed. 31. 85–108. 45 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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