Stan Pasyk

443 citations
10 papers · 343 · h-index 9

Impact in

    • Cystic Fibrosis Research Advances
    • Neonatal Respiratory Health Research
    • Tracheal and airway disorders
    • Congenital Ear and Nasal Anomalies
    • Bacterial Genetics and Biotechnology

Papers in

    • Cystic Fibrosis Research Advances 9
    • Neonatal Respiratory Health Research 5
    • Tracheal and airway disorders 1
    • Advanced biosensing and bioanalysis techniques 5
    • DNA and Nucleic Acid Chemistry 1
    • Ion channel regulation and function 1

Stan Pasyk

10 papers receiving 340 citations

Peers

Stan Pasyk
Comparison fields: 5 of 56
  • Pulmonary and Respiratory Medicine 264
  • Genetics 25
  • Molecular Biology 153
  • Cell Biology 23
  • Nutrition and Dietetics 17
Replace Kate J. Treharne with:
Kate J. Treharne United Kingdom
Julie Goepp Canada
Anita Golec France
Patrick Forny Switzerland
Jae-Hong Ko South Korea
Dana L. Shkolny Canada
Joana Silva Portugal
Xuan Tao China
Andreacarola Urso United States
Luca Occhigrossi Italy
Stan Pasyk relative to Kate J. Treharne United Kingdom Kate J. Treharne's profile →
Citations per field
00.5×5.7×
Kate J. Treharne · 1×
Citations per year

Countries citing papers authored by Stan Pasyk

Since Specialization
Citations

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

Fields of papers citing papers by Stan Pasyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 201479
2 200958
3 201747
4 201239
5 201531
6 200831
7 200829
8 201419
9 20129
10 20091

About Stan Pasyk

Stan Pasyk is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Pathology and Forensic Medicine, Oncology and Epidemiology, having authored 10 papers that have together received 343 indexed citations. Recurring topics across this work include Cystic Fibrosis Research Advances (9 papers), Advanced biosensing and bioanalysis techniques (5 papers), Neonatal Respiratory Health Research (5 papers), DNA and Nucleic Acid Chemistry (1 paper), Biomedical Research and Pathophysiology (1 paper), Trace Elements in Health (1 paper), Ion channel regulation and function (1 paper) and Tracheal and airway disorders (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (264 citations), Genetics (25 citations), Molecular Biology (153 citations), Cell Biology (23 citations) and Nutrition and Dietetics (17 citations). Stan Pasyk has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include Christine E. Bear, Mohabir Ramjeesingh, Canhui Li, Saumel Ahmadi, Steven V. Molinski, Patrick Kim Chiaw, Paul D. W. Eckford, Leigh Wellhauser, Joanne C. Cheung and Stephanie Chin. Their work appears in journals such as Current Pharmaceutical Design, Molecular Pharmacology, Archives of Biochemistry and Biophysics, PLoS ONE and Biochemical 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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