Rima Kaddurah‐Daouk
- Molecular Biology top 0.5%
- Physiology top 0.5%
- Cell Biology top 0.5%
- Biological Psychiatry top 0.1%
- Cellular and Molecular Neuroscience top 1%
- Co-authors
- Markus WyssRichard M. WeinshilboumBruce S. KristalKousik KrishnanRobert J. FerranteOliver FiehnRussell T. MatthewsHongjie Zhu
- Topics
- Metabolomics and Mass Spectrometry Studies (67 papers)Tryptophan and brain disorders (55 papers)Diet and metabolism studies (33 papers)
- 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
- Molecular Biology 7.1k
- Physiology 3.4k
- Cell Biology 1.8k
- Biological Psychiatry 1.8k
- Cellular and Molecular Neuroscience 1.2k
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 of co-authors of Rima Kaddurah‐Daouk
This figure shows the co-authorship network connecting the top 25 collaborators of Rima Kaddurah‐Daouk. A scholar is included among the top collaborators of Rima Kaddurah‐Daouk 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 Rima Kaddurah‐Daouk. Rima Kaddurah‐Daouk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | Serum triglycerides in Alzheimer disease: Relation to neuroimaging and CSF biomarkers | 1 |
| 10 | 1 | |
| 11 | 62 | |
| 12 | 16 | |
| 13 | Association of Altered Liver Enzymes With Alzheimer Disease Diagnosis, Cognition, Neuroimaging Measures, and Cerebrospinal Fluid Biomarkers | 16 |
| 14 | 344 | |
| 15 | 12 | |
| 16 | 136 | |
| 17 | 66 | |
| 18 | 73 | |
| 19 | 102 | |
| 20 | 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) and Diet and metabolism studies (33 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. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Medicine.
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.