J. Skała

2.0k citations
9 papers · 1.7k · 1 hit paper · h-index 5

Impact in

    • Fungal and yeast genetics research
    • Genomics and Phylogenetic Studies
    • Genomics and Chromatin Dynamics
    • RNA and protein synthesis mechanisms
    • DNA Repair Mechanisms
    • Fractal and DNA sequence analysis
    • Protein Structure and Dynamics

Papers in

J. Skała

9 papers receiving 1.6k citations

J. Skała's Hit Papers

The complete DNA sequence of yeast chromosome III 1992 · 728 citations
7280+11+22Years since publication200400600

Peers

J. Skała
Comparison fields: 5 of 55
  • Molecular Biology 966
  • Aging 6
  • Cell Biology 34
  • Plant Science 74
  • Spectroscopy 21
Replace C. M. James with:
C. M. James United Kingdom
Quirina J. M. Van Der Aart Netherlands
Giovanna Carignani Italy
Alfred Zollner Germany
Christine Soustelle France
K. Kleine Germany
Keith J. Indge United Kingdom
E. Defoor Belgium
C. T. C. Maurer Netherlands
Maria Tzermia Greece
J. Skała relative to C. M. James United Kingdom C. M. James's profile →
Citations per field
00.5×2×3×
C. M. James · 1×
Citations per year

Countries citing papers authored by J. Skała

Since Specialization
Citations

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

Fields of papers citing papers by J. Skała

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside J. Skała, 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 J. Skała Line = papers co-authored together J. Skała links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
The complete DNA sequence of yeast chromosome III
Hit paper breakdown →
1992728
2 1997337
3 1994328
4 1997276
5 201441
6
Protoplast fusion in Saccharomyces cerevisiae.
19843
7
Biological effect of alkoxymethylene trimethylammonium chlorides on yeast Saccharomyces cerevisiae.
19882
8
Distribution of Ca.LSU intron and acid protease production by Candida albicans strains isolated from gastrointestinal tract of diabetes children.
20042
9
Genetic properties of plasmids isolated from pathogenic strain of Citrobacter freundii.
19891

About J. Skała

J. Skała is a scholar working on Molecular Biology, Infectious Diseases, Organic Chemistry, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 9 papers that have together received 1.7k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (5 papers), Antimicrobial agents and applications (1 paper) and Antifungal resistance and susceptibility (1 paper). The work is most often cited by research in Molecular Biology (966 citations), Aging (6 citations), Cell Biology (34 citations), Plant Science (74 citations) and Spectroscopy (21 citations). J. Skała has collaborated with scholars based in Poland, France and Germany. Frequent co-authors include Katarzyna Skórkowska‐Telichowska, Anna Kulma, Kamil Kostyń, Jan Szopa, Zuzanna Drulis‐Kawa, Marta Preisner, Magdalena Żuk, Jakub Szperlik, S. Cebrat and Urszula Nawrot. Their work appears in journals such as Nature, Industrial Crops and Products and PubMed.

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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