William D. Todd

21 papers receiving 592 citations

Peers

William D. Todd
Comparison fields: 5 of 69
  • Endocrine and Autonomic Systems 355
  • Cognitive Neuroscience 286
  • Behavioral Neuroscience 33
  • Cellular and Molecular Neuroscience 157
  • Experimental and Cognitive Psychology 110
Replace Rebecca Y. Broadhurst with:
Rebecca Y. Broadhurst United States
Michael Verwey Canada
Danny Truong United States
R. Paulien Barf Netherlands
Marie‐Pierre Cossette Canada
Jesse J. Zhan United States
Sibah Hasan United Kingdom
Christina L. Ruby United States
Laurent Coque United States
Kimberly J. Jennings United States
William D. Todd relative to Rebecca Y. Broadhurst United States Rebecca Y. Broadhurst's profile →
Citations per field
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Rebecca Y. Broadhurst · 1×
Citations per year

Countries citing papers authored by William D. Todd

Since Specialization
Citations

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

Fields of papers citing papers by William D. Todd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William D. Todd. 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 William D. Todd. The network helps show where William D. Todd may publish in the future.

Co-authors

The 25 scholars most cited alongside William D. Todd, 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 William D. Todd Line = papers co-authored together William D. Todd links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018113
2 202098
3 201457
4 202045
5 201133
6 201930
7 202130
8 201929
9 202026
10 201026
11 201224
12 200818
13 202216
14 201815
15 201215
16 202313
17 20237
18 20232
19 20241
20 20251

About William D. Todd

William D. Todd is a scholar working on Endocrine and Autonomic Systems, Cognitive Neuroscience, Experimental and Cognitive Psychology, Cellular and Molecular Neuroscience and Physiology, having authored 22 papers that have together received 600 indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (18 papers), Sleep and Wakefulness Research (15 papers), Sleep and related disorders (7 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Photoreceptor and optogenetics research (3 papers), Dietary Effects on Health (3 papers), Neurobiology and Insect Physiology Research (2 papers) and Spaceflight effects on biology (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (355 citations), Cognitive Neuroscience (286 citations), Behavioral Neuroscience (33 citations), Cellular and Molecular Neuroscience (157 citations) and Experimental and Cognitive Psychology (110 citations). William D. Todd has collaborated with scholars based in United States, Brazil and Australia. Frequent co-authors include Mark S. Blumberg, Andrew J. Gall, Anne Venner, Patrick M. Fuller, Rebecca Y. Broadhurst, Satvinder Kaur, Natalia Machado, Clifford B. Saper, David P. Olson and Christelle Anaclet. Their work appears in journals such as Frontiers in Neuroscience, SLEEP, Nature Communications, Behavioral Neuroscience and Journal of Biological Rhythms.

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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