Daniel Paris

99 papers and 3.7k indexed citations i.

About

Daniel Paris is a scholar working on Physiology, Molecular Biology and Neurology. According to data from OpenAlex, Daniel Paris has authored 99 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Physiology, 37 papers in Molecular Biology and 32 papers in Neurology. Recurrent topics in Daniel Paris’s work include Alzheimer's disease research and treatments (51 papers), Neuroinflammation and Neurodegeneration Mechanisms (26 papers) and Cholinesterase and Neurodegenerative Diseases (12 papers). Daniel Paris is often cited by papers focused on Alzheimer's disease research and treatments (51 papers), Neuroinflammation and Neurodegeneration Mechanisms (26 papers) and Cholinesterase and Neurodegenerative Diseases (12 papers). Daniel Paris collaborates with scholars based in United States, United Kingdom and France. Daniel Paris's co-authors include Michael Mullan, Fiona Crawford, Nikunj Patel, Amita Quadros, Terrence Town, Corbin Bachmeier, James Humphrey, David Beaulieu‐Abdelahad, Ghania Ait‐Ghezala and Venkatarajan S. Mathura and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Co-authorship network of co-authors of Daniel Paris i

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.

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).

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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