Małgorzata Siger

607 citations
22 papers · 403 · h-index 7

Impact in

Papers in

Małgorzata Siger

19 papers receiving 395 citations

Peers

Małgorzata Siger
Comparison fields: 5 of 69
  • Ophthalmology 127
  • Pathology and Forensic Medicine 218
  • Neurology 79
  • Rheumatology 76
  • Immunology 68
Replace Ella Maria Kadas with:
Ella Maria Kadas Germany
Janine Mikolajczak Germany
Jens Harmel Germany
Jeffrey Lambe United States
Ron Neumann Israel
Moli Fan China
Giordani Rodrigues dos Passos Brazil
Mariska Kooijmans United States
Petra Nytrová Czechia
Małgorzata Siger relative to Ella Maria Kadas Germany Ella Maria Kadas's profile →
Citations per field
00.5×6.2×
Ella Maria Kadas · 1×
Citations per year

Countries citing papers authored by Małgorzata Siger

Since Specialization
Citations

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

Fields of papers citing papers by Małgorzata Siger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008176
2 201386
3 200940
4 201129
5 202215
6 202211
7 20206
8 20245
9 20235
10 20254
11
Cognitive impairment in patients with relapsing-remitting multiple sclerosis. The correlation with MRI lesion volume.
20094
12 20214
13 20213
14 20243
15 20243
16 20203
17 20182
18 20212
19 20202
20 20250

About Małgorzata Siger

Małgorzata Siger is a scholar working on Pathology and Forensic Medicine, Rheumatology, Ophthalmology, Biomedical Engineering and Neurology, having authored 22 papers that have together received 403 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (15 papers), Systemic Sclerosis and Related Diseases (5 papers), Systemic Lupus Erythematosus Research (5 papers), Optical Coherence Tomography Applications (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Glaucoma and retinal disorders (2 papers), Polyomavirus and related diseases (2 papers) and Peripheral Neuropathies and Disorders (2 papers). The work is most often cited by research in Ophthalmology (127 citations), Pathology and Forensic Medicine (218 citations), Neurology (79 citations), Rheumatology (76 citations) and Immunology (68 citations). Małgorzata Siger has collaborated with scholars based in Poland and United States. Frequent co-authors include Krzysztof Selmaj, Jerzy Nawrocki, K Dziegielewski, Agata Walczak, Marian Szczepanik, Norbert Schuff, Xiaoping Zhu, Bruce L. Miller, Michael W. Weiner and Mariusz Stasiołek. Their work appears in journals such as Multiple Sclerosis and Related Disorders, Journal of the Neurological Sciences, Journal of Clinical Medicine, International Journal of Molecular Sciences and Journal of Neurology.

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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