Peter D. Donofrio

4.2k citations
73 papers · 2.9k · h-index 29

Impact in

Papers in

Peter D. Donofrio

71 papers receiving 2.8k citations

Peers

Peter D. Donofrio
Comparison fields: 5 of 130
  • Neurology 1.7k
  • Cellular and Molecular Neuroscience 1.0k
  • Radiology, Nuclear Medicine and Imaging 487
  • Psychiatry and Mental health 311
  • Genetics 150
Replace Maurizio Leone with:
Maurizio Leone Italy
Neil E. Anderson New Zealand
Aristeidis H. Katsanos Greece
David G. Sherman United States
Edith Flaster United States
Sebastian Koch United States
H. Alex Choi United States
Christel Renoux Canada
Zheng Zheng China
Brian J. Zink United States
Peter D. Donofrio relative to Maurizio Leone Italy Maurizio Leone's profile →
Citations per field
00.5×3.7×
Maurizio Leone · 1×
Citations per year

Countries citing papers authored by Peter D. Donofrio

Since Specialization
Citations

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

Fields of papers citing papers by Peter D. Donofrio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter D. Donofrio. 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 Peter D. Donofrio. The network helps show where Peter D. Donofrio may publish in the future.

Co-authors

The 25 scholars most cited alongside Peter D. Donofrio, 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 Peter D. Donofrio Line = papers co-authored together Peter D. Donofrio links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008477
2 1985303
3 2013263
4 2000136
5 1988116
6 1985110
7 2003107
8 1990104
9 200968
10 199063
11 198761
12 199057
13 198754
14 201051
15 201648
16 200448
17 201746
18 199642
19 201142
20 198541

About Peter D. Donofrio

Peter D. Donofrio is a scholar working on Neurology, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging, Surgery and Molecular Biology, having authored 73 papers that have together received 2.9k indexed citations. Recurring topics across this work include Peripheral Neuropathies and Disorders (31 papers), Peripheral Nerve Disorders (16 papers), Hereditary Neurological Disorders (15 papers), Myasthenia Gravis and Thymoma (11 papers), Healthcare Policy and Management (5 papers), Pain Mechanisms and Treatments (4 papers), Pharmacological Effects and Toxicity Studies (4 papers) and Epilepsy research and treatment (4 papers). The work is most often cited by research in Neurology (1.7k citations), Cellular and Molecular Neuroscience (1.0k citations), Radiology, Nuclear Medicine and Imaging (487 citations), Psychiatry and Mental health (311 citations) and Genetics (150 citations). Peter D. Donofrio has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include James W. Albers, Marinos C. Dalakas, Vera Bril, Pieter A. van Doorn, C. Q. Deng, Norman Latov, Kim Hanna, Richard AC Hughes, Hans‐Peter Hartung and Ingemar S. J. Merkies. Their work appears in journals such as Muscle & Nerve, Neurology, CONTINUUM Lifelong Learning in Neurology, Journal of the Neurological Sciences and Journal of the Peripheral Nervous System.

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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