Barbara Ryniewicz

800 citations
56 papers · 553 · h-index 13

Impact in

  • Neurology top 5%
    • Myasthenia Gravis and Thymoma
    • Peripheral Neuropathies and Disorders
  • Genetics top 10%
    • Neurogenetic and Muscular Disorders Research

Papers in

Barbara Ryniewicz

54 papers receiving 538 citations

Peers

Barbara Ryniewicz
Comparison fields: 5 of 47
  • Neurology 222
  • Genetics 121
  • Cellular and Molecular Neuroscience 197
  • Neurology 50
  • Cardiology and Cardiovascular Medicine 107
Replace Keiji Chida with:
Keiji Chida Japan
Masakazu Kawajiri Japan
Saunder Bernes United States
Bum Chun Suh South Korea
M. Al-Lozi United States
GABRIEL A. SCHWARZ United States
Yoshimitsu Shimatani Japan
S Riku Japan
Jochen Schäfer Germany
José Luís Muñoz-Blanco Spain
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Citations per field
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Citations per year

Countries citing papers authored by Barbara Ryniewicz

Since Specialization
Citations

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

Fields of papers citing papers by Barbara Ryniewicz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199280
2 201456
3 198144
4 201423
5 199522
6 197722
7 201421
8 201420
9 199214
10 201014
11 200414
12 201513
13 201413
14 201912
15 201511
16 201111
17
Motor and sensory conduction velocity in spinal muscular atrophy. Follow-up study.
197811
18 201311
19 200510
20 20059

About Barbara Ryniewicz

Barbara Ryniewicz is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Neurology and Cell Biology, having authored 56 papers that have together received 553 indexed citations. Recurring topics across this work include Hereditary Neurological Disorders (15 papers), Neurogenetic and Muscular Disorders Research (15 papers), Muscle Physiology and Disorders (12 papers), Myasthenia Gravis and Thymoma (10 papers), Genetic Neurodegenerative Diseases (9 papers), Cardiomyopathy and Myosin Studies (6 papers), Nuclear Structure and Function (4 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Neurology (222 citations), Genetics (121 citations), Cellular and Molecular Neuroscience (197 citations), Neurology (50 citations) and Cardiology and Cardiovascular Medicine (107 citations). Barbara Ryniewicz has collaborated with scholars based in Poland, United States and Belgium. Frequent co-authors include Hubert Kwieciński, Anna Kostera‐Pruszczyk, I Hausmanowa-Pétrusewicz, Anna Fidziańska, Dagmara Kabzińska, Marta Lipowska, Andrzej Kochański, K Rowińska-Marcińska, Maria Jędrzejowska and H Drac. Their work appears in journals such as Neurology, Neuromuscular Disorders, Neuropediatrics, European Journal of Paediatric Neurology 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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