David K. Welsh
- Endocrine and Autonomic Systems top 0.02%
- Cellular and Molecular Neuroscience top 0.5%
- Physiology top 1%
- Cognitive Neuroscience top 1%
- Plant Science top 1%
- Co-authors
- Steve A. KayJoseph S. TakahashiSteven M. ReppertMarkus MeisterDiomedes E. LogothetisAndrew C. LiuMichael J. McCarthyDominic Landgraf
- Topics
- Circadian rhythm and melatonin (67 papers)Photoreceptor and optogenetics research (21 papers)Sleep and Wakefulness Research (19 papers)
- Partner nations
- United StatesCanadaPortugal
In The Last Decade
David K. Welsh
79 papers receiving 7.8k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Endocrine and Autonomic Systems 6.3k
- Cellular and Molecular Neuroscience 2.4k
- Physiology 2.0k
- Cognitive Neuroscience 1.7k
- Plant Science 1.6k
Countries citing papers authored by David K. Welsh
This map shows the geographic impact of David K. Welsh'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 David K. Welsh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David K. Welsh more than expected).
Fields of papers citing papers by David K. Welsh
This network shows the impact of papers produced by David K. Welsh. 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 David K. Welsh. The network helps show where David K. Welsh may publish in the future.
Co-authorship network of co-authors of David K. Welsh
This figure shows the co-authorship network connecting the top 25 collaborators of David K. Welsh. A scholar is included among the top collaborators of David K. Welsh 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 David K. Welsh. David K. Welsh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 50 | |
| 2 | 58 | |
| 3 | 144 | |
| 4 | 30 | |
| 5 | 18 | |
| 6 | 53 | |
| 7 | 52 | |
| 8 | 93 | |
| 9 | Identification of Small Molecule Activators of Cryptochromebreakdown → | 386 |
| 10 | 28 | |
| 11 | 18 | |
| 12 | 165 | |
| 13 | 146 | |
| 14 | 67 | |
| 15 | 74 | |
| 16 | Intercellular Coupling Confers Robustness against Mutations in the SCN Circadian Clock Networkbreakdown → | 548 |
| 17 | 137 | |
| 18 | Bioluminescence Imaging of Individual Fibroblasts Reveals Persistent, Independently Phased Circadian Rhythms of Clock Gene Expressionbreakdown → | 551 |
| 19 | 48 | |
| 20 | 18 |
About David K. Welsh
David K. Welsh is a scholar working on Endocrine and Autonomic Systems, Aging and Cellular and Molecular Neuroscience, having authored 80 papers that have together received 7.9k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (67 papers), Photoreceptor and optogenetics research (21 papers) and Sleep and Wakefulness Research (19 papers). The work is most often cited by research in Endocrine and Autonomic Systems (6.3k citations), Aging (866 citations) and Cellular and Molecular Neuroscience (2.4k citations). David K. Welsh has collaborated with scholars based in United States, Canada and Portugal. Frequent co-authors include Steve A. Kay, Joseph S. Takahashi, Steven M. Reppert, Markus Meister, Diomedes E. Logothetis, Andrew C. Liu, Michael J. McCarthy, Dominic Landgraf, Takako Noguchi and Eric Erquan Zhang. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.