Barbara Pytel

556 citations
18 papers · 390 · h-index 7

Impact in

    • Hereditary Neurological Disorders
    • Genetic Neurodegenerative Diseases
    • Neurological diseases and metabolism
    • Botulinum Toxin and Related Neurological Disorders
    • Parkinson's Disease Mechanisms and Treatments

Papers in

Barbara Pytel

18 papers receiving 373 citations

Peers

Barbara Pytel
Comparison fields: 5 of 83
  • Cellular and Molecular Neuroscience 231
  • Neurology 57
  • Neurology 75
  • Cell Biology 62
  • Immunology and Allergy 15
Replace Peter H. Koo with:
Peter H. Koo United States
Martijn Moransard Switzerland
A Ilyas United States
Xinghua Luan China
Dong-Hui Chen United States
Anna-Elina Lehesjoki Finland
Memnune Yüksel Apak Türkiye
G. E. Goings United States
NG Copeland United States
Ariel Arthur United Kingdom
Barbara Pytel relative to Peter H. Koo United States Peter H. Koo's profile →
Citations per field
00.5×2.6×
Peter H. Koo · 1×
Citations per year

Countries citing papers authored by Barbara Pytel

Since Specialization
Citations

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

Fields of papers citing papers by Barbara Pytel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Barbara Pytel, 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 Pytel Line = papers co-authored together Barbara Pytel links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 1978108
2 1978101
3 197853
4
Expression of messenger RNAs for complement inhibitors in human tissues and tumors.
199344
5 199036
6 199118
7 20137
8 20024
9 19814
10 19773
11 20153
12 20232
13 20152
14 20221
15 20161
16 20171
17 19771
18 20241

About Barbara Pytel

Barbara Pytel is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Spectroscopy, Materials Chemistry and Cardiology and Cardiovascular Medicine, having authored 18 papers that have together received 390 indexed citations. Recurring topics across this work include Hereditary Neurological Disorders (3 papers), Lipid Membrane Structure and Behavior (3 papers), Porphyrin and Phthalocyanine Chemistry (3 papers), Electrostatics and Colloid Interactions (2 papers), Molecular Sensors and Ion Detection (2 papers), Marine and coastal ecosystems (2 papers), Isotope Analysis in Ecology (2 papers) and Electrochemical Analysis and Applications (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (231 citations), Neurology (57 citations), Neurology (75 citations), Cell Biology (62 citations) and Immunology and Allergy (15 citations). Barbara Pytel has collaborated with scholars based in Poland and United States. Frequent co-authors include John Pearson, Corrado Baglioni, Felicia B. Axelrod, Nicola Grover‐Johnson, Joseph Dancis, Karsten Peppel, Sandeep Kumar, K Herbaczyńska-Cedro, Dariusz Man and Sławomir Chlabicz. Their work appears in journals such as Journal of the Neurological Sciences, Journal of Neuropathology & Experimental Neurology, Applied Sciences, Membranes and Journal of Cellular Physiology.

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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