Tamara D. Cabalu
Impact in
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
Papers in
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- Sleep and Wakefulness Research 9
-
- Sleep and related disorders 8
- Co-authors
- Ka Lai Yee (5 shared papers)Donghui Cui (6 shared papers)Thomayant Prueksaritanont (6 shared papers)Christopher R. Gibson (2 shared papers)Jerome Hochman (1 shared paper)Xiaoyan Chu (1 shared paper)Jeanine Ballard (1 shared paper)Christopher J. Winrow (7 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (9 papers)The Journal of Clinical Pharmacology (2 papers)Toxicological Sciences (1 paper)CPT Pharmacometrics & Systems Pharmacology (1 paper)Xenobiotica (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Tamara D. Cabalu
17 papers receiving 442 citations
Peers
Comparison fields: 5 of 78
- Pharmacology 134
- Endocrine and Autonomic Systems 82
- Experimental and Cognitive Psychology 86
- Cognitive Neuroscience 120
- Toxicology 16
Countries citing papers authored by Tamara D. Cabalu
This map shows the geographic impact of Tamara D. Cabalu'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 Tamara D. Cabalu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamara D. Cabalu more than expected).
Fields of papers citing papers by Tamara D. Cabalu
This network shows the impact of papers produced by Tamara D. Cabalu. 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 Tamara D. Cabalu. The network helps show where Tamara D. Cabalu may publish in the future.
Co-authors
The 25 scholars most cited alongside Tamara D. Cabalu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 195 | |
| 2 | 2019 | 37 | |
| 3 | 2016 | 32 | |
| 4 | 2018 | 23 | |
| 5 | 2020 | 22 | |
| 6 | 2017 | 19 | |
| 7 | 2013 | 19 | |
| 8 | 2014 | 17 | |
| 9 | 2016 | 16 | |
| 10 | 2015 | 15 | |
| 11 | 2018 | 14 | |
| 12 | 2015 | 14 | |
| 13 | 2014 | 9 | |
| 14 | 2014 | 7 | |
| 15 | 2020 | 5 | |
| 16 | 2017 | 4 | |
| 17 | 2021 | 1 |
About Tamara D. Cabalu
Tamara D. Cabalu is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Pharmacology, Endocrine and Autonomic Systems and Materials Chemistry, having authored 17 papers that have together received 449 indexed citations. Recurring topics across this work include Sleep and Wakefulness Research (9 papers), Sleep and related disorders (8 papers), Pharmacogenetics and Drug Metabolism (6 papers), Circadian rhythm and melatonin (4 papers), Photochromic and Fluorescence Chemistry (4 papers), Statistical Methods in Clinical Trials (3 papers), Chemical synthesis and alkaloids (2 papers) and Phosphodiesterase function and regulation (1 paper). The work is most often cited by research in Pharmacology (134 citations), Endocrine and Autonomic Systems (82 citations), Experimental and Cognitive Psychology (86 citations), Cognitive Neuroscience (120 citations) and Toxicology (16 citations). Tamara D. Cabalu has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Ka Lai Yee, Donghui Cui, Thomayant Prueksaritanont, Christopher R. Gibson, Jerome Hochman, Xiaoyan Chu, Jeanine Ballard, Christopher J. Winrow, Wen Liu and John J. Renger. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, The Journal of Clinical Pharmacology, Toxicological Sciences, CPT Pharmacometrics & Systems Pharmacology and Xenobiotica.
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.