Daniel Paris
- Neurology top 0.5%
- Neuroinflammation and Neurodegeneration Mechanisms 25
- Neurological Disease Mechanisms and Treatments 8
- Traumatic Brain Injury and Neurovascular Disturbances 8
- Biological Psychiatry top 1%
- Physiology top 1%
- Alzheimer's disease research and treatments 52
- Pharmacology top 2%
- Cholinesterase and Neurodegenerative Diseases 12
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms 25
- Neurological Disease Mechanisms and Treatments 8
- Traumatic Brain Injury and Neurovascular Disturbances 8
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- S100 Proteins and Annexins 9
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- Drug Transport and Resistance Mechanisms 7
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- Computational Drug Discovery Methods 7
- Co-authors
- Michael MullanFiona CrawfordNikunj PatelAmita QuadrosCorbin BachmeierTerrence TownJames HumphreyDavid Beaulieu‐Abdelahad
- Journals
- European Journal of Pharmacology (4 papers)Neurobiology of Aging (4 papers)Annals of the New York Academy of Sciences (3 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Daniel Paris
98 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 119
- Neurology 1.3k
- Biological Psychiatry 264
- Physiology 2.0k
- Pharmacology 510
- Neurology 450
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 5 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 1 | |
| 4 | 2021 | 4 | |
| 5 | 2020 | 15 | |
| 6 | 2016 | 25 | |
| 7 | HOW TO OPTIMALLY DIAGNOSE ORIENTIA TSUTSUGAMUSHI OR RICKETTSIA TYPHI INFECTIONS IN PATIENTS WITH CENTRAL NERVOUS SYSTEM DISEASE | 2015 | 1 |
| 8 | 2015 | 24 | |
| 9 | 2010 | 4 | |
| 10 | 2009 | 1 | |
| 11 | 2008 | 13 | |
| 12 | 2008 | 36 | |
| 13 | 2008 | 16 | |
| 14 | 2005 | 28 | |
| 15 | 2004 | 122 | |
| 16 | 2003 | 18 | |
| 17 | 2002 | 64 | |
| 18 | 1998 | 35 | |
| 19 | 1997 | 14 | |
| 20 | 1996 | 62 |
About Daniel Paris
Daniel Paris is a scholar working on Neurology, Physiology, Biological Psychiatry, Clinical Biochemistry and Neurology, having authored 100 papers that have together received 3.9k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (52 papers), Neuroinflammation and Neurodegeneration Mechanisms (25 papers), Cholinesterase and Neurodegenerative Diseases (12 papers), S100 Proteins and Annexins (9 papers), Neurological Disease Mechanisms and Treatments (8 papers), Traumatic Brain Injury and Neurovascular Disturbances (8 papers), Drug Transport and Resistance Mechanisms (7 papers) and Computational Drug Discovery Methods (7 papers). The work is most often cited by research in Neurology (1.3k citations), Biological Psychiatry (264 citations), Physiology (2.0k citations), Pharmacology (510 citations) and Neurology (450 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 European Journal of Pharmacology, Neurobiology of Aging, Annals of the New York Academy of Sciences, Biochemical and Biophysical Research Communications and Molecular 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.