Daniel P. Perl

32.1k total citations · 11 hit papers
221 papers, 19.0k citations indexed

About

Daniel P. Perl is a scholar working on Neurology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Daniel P. Perl has authored 221 papers receiving a total of 19.0k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Neurology, 80 papers in Physiology and 44 papers in Cellular and Molecular Neuroscience. Recurrent topics in Daniel P. Perl's work include Alzheimer's disease research and treatments (75 papers), Parkinson's Disease Mechanisms and Treatments (36 papers) and Traumatic Brain Injury and Neurovascular Disturbances (34 papers). Daniel P. Perl is often cited by papers focused on Alzheimer's disease research and treatments (75 papers), Parkinson's Disease Mechanisms and Treatments (36 papers) and Traumatic Brain Injury and Neurovascular Disturbances (34 papers). Daniel P. Perl collaborates with scholars based in United States, Switzerland and France. Daniel P. Perl's co-authors include C. Warren Olanow, Paul F. Good, Patrick R. Hof, Arnold R. Brody, Constantin Bouras, Dushyant P. Purohit, Vahram Haroutunian, Amy P. Hsu, Kevin St. P. McNaught and Linda M. Bierer and has published in prestigious journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Daniel P. Perl

215 papers receiving 18.4k citations

Hit Papers

A double‐blind controlled trial of bi... 1974 2026 1991 2008 2003 2003 1980 1995 1982 250 500 750 1000

Peers

Daniel P. Perl
Comparison fields: 5 of 188
  • Physiology 6.1k
  • Neurology 5.4k
  • Molecular Biology 4.9k
  • Cellular and Molecular Neuroscience 4.3k
  • Neurology 2.5k
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Citations per field, relative to Daniel P. Perl
Daniel P. Perl · 1×
Citations per year, relative to Daniel P. Perl
Daniel P. Perl · 1×

Countries citing papers authored by Daniel P. Perl

Since Specialization
Citations

This map shows the geographic impact of Daniel P. Perl'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 P. Perl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel P. Perl more than expected).

Fields of papers citing papers by Daniel P. Perl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel P. Perl. 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 P. Perl. The network helps show where Daniel P. Perl may publish in the future.

Co-authorship network of co-authors of Daniel P. Perl

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel P. Perl. A scholar is included among the top collaborators of Daniel P. Perl 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 Daniel P. Perl. Daniel P. Perl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 5
3 20
4 2
5 7
6 1
7 2
8 17
9 88
10 2
11
Neuropathology of Alzheimer's Disease breakdown →
587
12 9
13 24
14 104
15 31
16 1
17 88
18 65
19 2
20 25

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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