Daniel Paris
Impact in
- Neurology top 0.5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
- Biological Psychiatry top 1%
- Tryptophan and brain disorders
Papers in
- Physiology 53
- Alzheimer's disease research and treatments 49
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- S100 Proteins and Annexins 6
- Co-authors
- Michael Mullan (83 shared papers)Fiona Crawford (57 shared papers)Nikunj Patel (19 shared papers)Amita Quadros (17 shared papers)Corbin Bachmeier (24 shared papers)Terrence Town (18 shared papers)James Humphrey (16 shared papers)David Beaulieu‐Abdelahad (19 shared papers)
- Journals
- Neurobiology of Aging (4 papers)European Journal of Pharmacology (4 papers)Biochemical and Biophysical Research Communications (3 papers)Molecular Medicine (3 papers)Annals of the New York Academy of Sciences (3 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Daniel Paris
100 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 116
- Neurology 1.2k
- Biological Psychiatry 244
- Physiology 1.9k
- Neurology 441
- Pharmacology 493
Countries citing papers authored by Daniel Paris
This map shows the geographic impact of Daniel Paris'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 Daniel Paris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Paris more than expected).
Fields of papers citing papers by Daniel Paris
This network shows the impact of papers produced by Daniel Paris. 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 Daniel Paris. The network helps show where Daniel Paris may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Paris, 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 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 313 | |
| 2 | 2005 | 258 | |
| 3 | 2010 | 154 | |
| 4 | 2001 | 151 | |
| 5 | 2004 | 129 | |
| 6 | 2019 | 126 | |
| 7 | 2004 | 114 | |
| 8 | 2003 | 109 | |
| 9 | 2010 | 96 | |
| 10 | 2017 | 94 | |
| 11 | 2009 | 90 | |
| 12 | 2019 | 82 | |
| 13 | 2005 | 76 | |
| 14 | 1999 | 75 | |
| 15 | 2006 | 69 | |
| 16 | 2004 | 67 | |
| 17 | 2002 | 67 | |
| 18 | 1996 | 67 | |
| 19 | 1999 | 64 | |
| 20 | 2004 | 61 |
About Daniel Paris
Daniel Paris is a scholar working on Physiology, Molecular Biology, Neurology, Pharmacology and Cellular and Molecular Neuroscience, having authored 102 papers that have together received 4.1k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (49 papers), Neuroinflammation and Neurodegeneration Mechanisms (23 papers), Cholinesterase and Neurodegenerative Diseases (12 papers), Neurological Disease Mechanisms and Treatments (8 papers), Nuclear Receptors and Signaling (7 papers), Computational Drug Discovery Methods (7 papers), Traumatic Brain Injury and Neurovascular Disturbances (6 papers) and S100 Proteins and Annexins (6 papers). The work is most often cited by research in Neurology (1.2k citations), Biological Psychiatry (244 citations), Physiology (1.9k citations), Neurology (441 citations) and Pharmacology (493 citations). Daniel Paris has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Michael Mullan, Fiona Crawford, Nikunj Patel, Amita Quadros, Corbin Bachmeier, Terrence Town, James Humphrey, David Beaulieu‐Abdelahad, Ghania Ait‐Ghezala and Venkatarajan S. Mathura. Their work appears in journals such as Neurobiology of Aging, European Journal of Pharmacology, Biochemical and Biophysical Research Communications, Molecular Medicine and Annals of the New York 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.