Edward Cupler

3.0k citations
54 papers · 1.5k · h-index 16

Impact in

  • Neurology top 2%
    • Peripheral Neuropathies and Disorders
    • Eosinophilic Disorders and Syndromes

Papers in

Edward Cupler

51 papers receiving 1.4k citations

Peers

Edward Cupler
Comparison fields: 5 of 77
  • Neurology 449
  • Rheumatology 247
  • Epidemiology 515
  • Genetics 147
  • Cellular and Molecular Neuroscience 229
Replace Marinos C. Dalakas with:
Marinos C. Dalakas United States
M. C. Dalakas United States
Charlotte Dahle Sweden
Kondi Wong United States
Peter Hjelmström Sweden
Barbara Rosicarelli Italy
F. Jouen France
R. A. C. Hughes United Kingdom
Martin Duddy United Kingdom
Shin J. Oh United States
Edward Cupler relative to Marinos C. Dalakas United States Marinos C. Dalakas's profile →
Citations per field
00.5×3.3×
Marinos C. Dalakas · 1×
Citations per year

Countries citing papers authored by Edward Cupler

Since Specialization
Citations

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

Fields of papers citing papers by Edward Cupler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edward Cupler. 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 Edward Cupler. The network helps show where Edward Cupler may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997285
2 2001190
3 1996175
4 2011120
5 1996108
6 200462
7 199561
8 199447
9 199836
10 200335
11 200234
12 200730
13 201528
14
Neuropathies in HIV infection.
199625
15 201921
16 202118
17 201015
18 202214
19 201913
20 202112

About Edward Cupler

Edward Cupler is a scholar working on Pathology and Forensic Medicine, Neurology, Molecular Biology, Infectious Diseases and Cellular and Molecular Neuroscience, having authored 54 papers that have together received 1.5k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (12 papers), Peripheral Neuropathies and Disorders (7 papers), Polyomavirus and related diseases (4 papers), Lysosomal Storage Disorders Research (4 papers), Glycogen Storage Diseases and Myoclonus (4 papers), Inflammatory Myopathies and Dermatomyositis (3 papers), Myasthenia Gravis and Thymoma (3 papers) and Muscle Physiology and Disorders (3 papers). The work is most often cited by research in Neurology (449 citations), Rheumatology (247 citations), Epidemiology (515 citations), Genetics (147 citations) and Cellular and Molecular Neuroscience (229 citations). Edward Cupler has collaborated with scholars based in Saudi Arabia, United States and Kuwait. Frequent co-authors include Marinos C. Dalakas, K Sivakumar, Elizabeth A. Sekul, James M. Dambrosia, Boyd M. Koffman, Mavis Fujii, Sidney A. Spector, Saeed Bohlega, Carlos Otero and Daniel P. Stein. Their work appears in journals such as Neurology, Multiple Sclerosis and Related Disorders, Muscle & Nerve, Neuromuscular Disorders and Journal of the Neurological 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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