S. Komoly

33 papers receiving 654 citations

Peers

S. Komoly
Comparison fields: 5 of 82
  • Developmental Neuroscience 111
  • Pathology and Forensic Medicine 223
  • Neurology 142
  • Neurology 72
  • Cellular and Molecular Neuroscience 160
Replace Dusanka S. Skundric with:
Dusanka S. Skundric United States
Marcella Caggiula Italy
Michael Namaka Canada
Melissa Gresle Australia
Kristine D. Baerwald United States
Hans‐Georg König Ireland
Edward J. Parr Canada
Bartosz Bielecki Poland
Erle K. Adrian United States
Timothy E. O’Brien United States
S. Komoly relative to Dusanka S. Skundric United States Dusanka S. Skundric's profile →
Citations per field
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Dusanka S. Skundric · 1×
Citations per year

Countries citing papers authored by S. Komoly

Since Specialization
Citations

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

Fields of papers citing papers by S. Komoly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000288
2 199349
3 199440
4 199231
5
Influence of JC virus coding region genotype on risk of multiple sclerosis and progressive multifocal leukoencephalopathy.
200030
6 199127
7 202025
8 200024
9 199117
10
Myasthenia gravis: demonstration of membrane attack complex in muscle end-plates.
198617
11 199816
12 200213
13 200713
14 201211
15
Health status and costs of ambulatory patients with multiple sclerosis in Hungary.
201211
16 198111
17 200510
18 20157
19 20097
20 20005

About S. Komoly

S. Komoly is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Oncology and Infectious Diseases, having authored 37 papers that have together received 682 indexed citations. Recurring topics across this work include Polyomavirus and related diseases (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Multiple Sclerosis Research Studies (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Glycosylation and Glycoproteins Research (2 papers), Myasthenia Gravis and Thymoma (2 papers), Intracerebral and Subarachnoid Hemorrhage Research (2 papers) and Alcoholism and Thiamine Deficiency (2 papers). The work is most often cited by research in Developmental Neuroscience (111 citations), Pathology and Forensic Medicine (223 citations), Neurology (142 citations), Neurology (72 citations) and Cellular and Molecular Neuroscience (160 citations). S. Komoly has collaborated with scholars based in Hungary, United States and Germany. Frequent co-authors include Miklós Palkovits, Gábor Lovas, Nóra Szilágyi, Katalin Majtényi, Dénes V. Ágoston, Toby Behar, Jeffery L. Barker, Hansjürgen Agostini, Caroline F. Ryschkewitsch and Anne E. Schaffner. Their work appears in journals such as International Immunology, Journal of Inherited Metabolic Disease, European Journal of Pain, Multiple Sclerosis Journal and The FASEB Journal.

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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