Rima Kaddurah‐Daouk
- Biological Psychiatry top 0.1%
- Tryptophan and brain disorders 55
- Behavioral Neuroscience top 1%
- Stress Responses and Cortisol 12
- Physiology top 0.5%
- Diet and metabolism studies 33
- Alzheimer's disease research and treatments 25
- Cell Biology top 0.5%
- Molecular Biology top 0.5%
- Metabolomics and Mass Spectrometry Studies 67
- Gut microbiota and health 18
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- Treatment of Major Depression 16
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- Computational Drug Discovery Methods 14
- Co-authors
- Markus WyssRichard M. WeinshilboumBruce S. KristalKousik KrishnanRobert J. FerranteOliver FiehnRussell T. MatthewsHongjie Zhu
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Rima Kaddurah‐Daouk
184 papers receiving 12.6k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Biological Psychiatry 1.8k
- Behavioral Neuroscience 472
- Physiology 3.4k
- Cell Biology 1.8k
- Molecular Biology 7.1k
Countries citing papers authored by Rima Kaddurah‐Daouk
This map shows the geographic impact of Rima Kaddurah‐Daouk'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 Rima Kaddurah‐Daouk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rima Kaddurah‐Daouk more than expected).
Fields of papers citing papers by Rima Kaddurah‐Daouk
This network shows the impact of papers produced by Rima Kaddurah‐Daouk. 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 Rima Kaddurah‐Daouk. The network helps show where Rima Kaddurah‐Daouk may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rima Kaddurah‐Daouk, 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 | 2025 | 5 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 0 | |
| 8 | 2021 | 1 | |
| 9 | Serum triglycerides in Alzheimer disease: Relation to neuroimaging and CSF biomarkers | 2020 | 1 |
| 10 | 2019 | 1 | |
| 11 | 2019 | 62 | |
| 12 | 2019 | 16 | |
| 13 | Association of Altered Liver Enzymes With Alzheimer Disease Diagnosis, Cognition, Neuroimaging Measures, and Cerebrospinal Fluid Biomarkers | 2019 | 16 |
| 14 | 2018 | 344 | |
| 15 | 2016 | 12 | |
| 16 | 2013 | 136 | |
| 17 | 2012 | 66 | |
| 18 | 2011 | 73 | |
| 19 | 2011 | 102 | |
| 20 | 2011 | 29 |
About Rima Kaddurah‐Daouk
Rima Kaddurah‐Daouk is a scholar working on Biological Psychiatry, Behavioral Neuroscience and Physiology, having authored 188 papers that have together received 12.8k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (67 papers), Tryptophan and brain disorders (55 papers), Diet and metabolism studies (33 papers), Alzheimer's disease research and treatments (25 papers), Gut microbiota and health (18 papers), Treatment of Major Depression (16 papers), Computational Drug Discovery Methods (14 papers) and Stress Responses and Cortisol (12 papers). The work is most often cited by research in Biological Psychiatry (1.8k citations), Behavioral Neuroscience (472 citations) and Physiology (3.4k citations). Rima Kaddurah‐Daouk has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Markus Wyss, Richard M. Weinshilboum, Bruce S. Kristal, Kousik Krishnan, Robert J. Ferrante, Oliver Fiehn, Russell T. Matthews, Hongjie Zhu, M. Flint Beal and Rebecca Baillie.
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.