Joy Alcedo

2.5k citations
26 papers · 1.8k · h-index 19

Impact in

Papers in

Joy Alcedo

26 papers receiving 1.8k citations

Peers

Joy Alcedo
Comparison fields: 5 of 109
  • Aging 692
  • Endocrine and Autonomic Systems 394
  • Developmental Biology 31
  • Molecular Biology 961
  • Biological Psychiatry 31
Replace Koyomi Miyazaki with:
Koyomi Miyazaki Japan
Marijke Sage United States
Takao Inoue United States
Aylin R. Rodan United States
Paschalis Kratsios United States
Eric J. Lambie United States
Cathy Slack United Kingdom
Ian D. Chin-Sang Canada
Janne M. Toivonen Spain
Fabio Demontis United States
Joy Alcedo relative to Koyomi Miyazaki Japan Koyomi Miyazaki's profile →
Citations per field
00.5×7.8×
Koyomi Miyazaki · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Joy Alcedo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Joy Alcedo Line = papers co-authored together Joy Alcedo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996482
2 2004289
3 2011102
4 2013100
5 199199
6 200091
7 201071
8 199769
9 201468
10 201766
11 199045
12 201436
13 201635
14 200730
15 201329
16 199427
17 201926
18 199426
19 201418
20 201118

About Joy Alcedo

Joy Alcedo is a scholar working on Aging, Endocrine and Autonomic Systems, Molecular Biology, Physiology and Cellular and Molecular Neuroscience, having authored 26 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (14 papers), Circadian rhythm and melatonin (10 papers), Neurobiology and Insect Physiology Research (5 papers), Trace Elements in Health (3 papers), Hedgehog Signaling Pathway Studies (3 papers), Dietary Effects on Health (3 papers), Adipose Tissue and Metabolism (3 papers) and Chromium effects and bioremediation (3 papers). The work is most often cited by research in Aging (692 citations), Endocrine and Autonomic Systems (394 citations), Developmental Biology (31 citations), Molecular Biology (961 citations) and Biological Psychiatry (31 citations). Joy Alcedo has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Markus Noll, Cynthia Kenyon, Joan E. Hooper, Tonia Von Ohlen, Karen E. Wetterhahn, Astrid Cornils, Yun Zhang, Wolfgang Maier, Yu Zou and Joshua W. Hamilton. Their work appears in journals such as Neuron, Carcinogenesis, Archives of Biochemistry and Biophysics, Proceedings of the National Academy of Sciences and eLife.

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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