Daniel Paris

4.8k citations
99 papers · 4.2k · h-index 37

Impact in

  • Neurology top 0.5%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Barrier Structure and Function Studies
    • Neurological Disease Mechanisms and Treatments
    • Traumatic Brain Injury and Neurovascular Disturbances
  • Physiology top 0.5%
    • Alzheimer's disease research and treatments

Papers in

    • Alzheimer's disease research and treatments 55
    • Neuroinflammation and Neurodegeneration Mechanisms 12
    • Traumatic Brain Injury and Neurovascular Disturbances 7
    • Barrier Structure and Function Studies 4

Daniel Paris

98 papers receiving 4k citations

Peers

Daniel Paris
Comparison fields: 5 of 99
  • Neurology 1k
  • Physiology 2k
  • Psychiatry and Mental health 348
  • Neurology 252
  • Biological Psychiatry 24
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Citations per field
00.5×1.5×2.2×
Stephanie Schwartz · 1×
Citations per year

Countries citing papers authored by Daniel Paris

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daniel Paris Line = papers co-authored together Daniel Paris links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999312
2 2005266
3 2001153
4 2010153
5 2004133
6 2019129
7 2004116
8 2003111
9 2010100
10 201798
11 201992
12 200991
13 200578
14 199974
15 200671
16 200470
17 200266
18 199964
19 201462
20
Ligation of microglial CD40 results in p44/42 mitogen-activated protein kinase-dependent TNF-alpha production that is opposed by TGF-beta 1 and IL-10.
199960

About Daniel Paris

Daniel Paris is a scholar working on Physiology, Neurology, Psychiatry and Mental health, Neurology and Geriatrics and Gerontology, having authored 99 papers that have together received 4.2k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (55 papers), Dementia and Cognitive Impairment Research (13 papers), Neuroinflammation and Neurodegeneration Mechanisms (12 papers), Traumatic Brain Injury and Neurovascular Disturbances (7 papers), Traumatic Brain Injury Research (6 papers), Barrier Structure and Function Studies (4 papers), Angiogenesis and VEGF in Cancer (4 papers) and Multiple Sclerosis Research Studies (3 papers). The work is most often cited by research in Neurology (1k citations), Physiology (2k citations), Psychiatry and Mental health (348 citations), Neurology (252 citations) and Biological Psychiatry (24 citations). Daniel Paris has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include MICHAEL J. MULLAN, Fiona Crawford, Nikunj S. Patel, Amita Quadros, Corbin J. Bachmeier, Terrence Town, James Humphrey, David Beaulieu‐Abdelahad, Ghania Ait‐Ghezala and Venkatarajan Subramanian Mathura. Their work appears in journals such as European Journal of Pharmacology, Molecular Medicine, Biochemical and Biophysical Research Communications, Neurobiology of Aging 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.

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