S. Daya
Impact in
- Biological Psychiatry top 10%
- Insect Science top 2%
- Bee Products Chemical Analysis
- Insect and Pesticide Research
Papers in ⓘ
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- Circadian rhythm and melatonin 13
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- Enzyme function and inhibition 3
- Co-authors
- Fuliang Hu (2 shared papers)Sarah E. Radloff (2 shared papers)H. R. Hepburn (2 shared papers)Deepa S. Maharaj (7 shared papers)H Maharaj (6 shared papers)Yinghua Li (1 shared paper)Shailendra Anoopkumar‐Dukie (4 shared papers)Horst Kaiser (1 shared paper)
- Journals
- Journal of Pineal Research (4 papers)Life Sciences (4 papers)Cellular and Molecular Life Sciences (4 papers)Journal of Pharmacy and Pharmacology (3 papers)Bioorganic & Medicinal Chemistry Letters (1 paper)
- Partner nations
- South AfricaUnited StatesAustralia
In The Last Decade
S. Daya
36 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 123
- Biological Psychiatry 56
- Insect Science 272
- Endocrine and Autonomic Systems 148
- Aquatic Science 126
- Behavioral Neuroscience 39
Countries citing papers authored by S. Daya
This map shows the geographic impact of S. Daya'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 S. Daya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Daya more than expected).
Fields of papers citing papers by S. Daya
This network shows the impact of papers produced by S. Daya. 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 S. Daya. The network helps show where S. Daya may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Daya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 171 | |
| 2 | 2004 | 164 | |
| 3 | 2004 | 162 | |
| 4 | 2003 | 73 | |
| 5 | 2006 | 46 | |
| 6 | 1991 | 41 | |
| 7 | 1990 | 36 | |
| 8 | 2000 | 35 | |
| 9 | 2000 | 34 | |
| 10 | 2001 | 30 | |
| 11 | 1998 | 27 | |
| 12 | 2001 | 26 | |
| 13 | 1990 | 24 | |
| 14 | 1989 | 23 | |
| 15 | 2005 | 23 | |
| 16 | 2005 | 23 | |
| 17 | 2006 | 20 | |
| 18 | 2001 | 17 | |
| 19 | 1997 | 14 | |
| 20 | 1985 | 13 |
About S. Daya
S. Daya is a scholar working on Endocrine and Autonomic Systems, Molecular Biology, Physiology, Biological Psychiatry and Pharmacology, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (13 papers), Tryptophan and brain disorders (5 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Enzyme function and inhibition (3 papers), Photoreceptor and optogenetics research (3 papers), Alzheimer's disease research and treatments (2 papers) and Free Radicals and Antioxidants (2 papers). The work is most often cited by research in Biological Psychiatry (56 citations), Insect Science (272 citations), Endocrine and Autonomic Systems (148 citations), Aquatic Science (126 citations) and Behavioral Neuroscience (39 citations). S. Daya has collaborated with scholars based in South Africa, United States and Australia. Frequent co-authors include Fuliang Hu, Sarah E. Radloff, H. R. Hepburn, Deepa S. Maharaj, H Maharaj, Yinghua Li, Shailendra Anoopkumar‐Dukie, Horst Kaiser, T. Hecht and Niall Gordon Vine. Their work appears in journals such as Journal of Pineal Research, Life Sciences, Cellular and Molecular Life Sciences, Journal of Pharmacy and Pharmacology and Bioorganic & Medicinal Chemistry Letters.
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.