Stefan Tyski

124 papers receiving 1.9k citations

Peers

Stefan Tyski
Comparison fields: 5 of 122
  • Molecular Medicine 311
  • Applied Microbiology and Biotechnology 67
  • Pharmacology 451
  • Microbiology 123
  • Analytical Chemistry 181
Replace Sujata G. Dastidar with:
Sujata G. Dastidar India
Anna Malm Poland
Jennifer M. Andrews United Kingdom
Veronika Holá Czechia
Fatemeh Rafii United States
Tadakatsu Shimamura Japan
Paul Stapleton United Kingdom
L. Dubreuil France
Ana Espinel‐Ingroff United States
Noton K. Dutta United States
Stefan Tyski relative to Sujata G. Dastidar India Sujata G. Dastidar's profile →
Citations per field
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Sujata G. Dastidar · 1×
Citations per year

Countries citing papers authored by Stefan Tyski

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Tyski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201897
2 201293
3 200285
4 201783
5 201771
6 201768
7 202264
8 199658
9 201955
10 200454
11
Search of antimicrobial activity of selected non-antibiotic drugs.
200354
12 201653
13 201153
14 201751
15 198350
16 200045
17 200845
18 200743
19 202238
20
Antimicrobial activity of ozonated water.
201035

About Stefan Tyski

Stefan Tyski is a scholar working on Molecular Biology, Pharmacology, Infectious Diseases, Organic Chemistry and Microbiology, having authored 128 papers that have together received 2.0k indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (24 papers), Antibiotic Resistance in Bacteria (20 papers), Antimicrobial Resistance in Staphylococcus (16 papers), Microfluidic and Capillary Electrophoresis Applications (14 papers), Pneumonia and Respiratory Infections (11 papers), Bacterial biofilms and quorum sensing (10 papers), Bacterial Infections and Vaccines (10 papers) and Medical Device Sterilization and Disinfection (10 papers). The work is most often cited by research in Molecular Medicine (311 citations), Applied Microbiology and Biotechnology (67 citations), Pharmacology (451 citations), Microbiology (123 citations) and Analytical Chemistry (181 citations). Stefan Tyski has collaborated with scholars based in Poland, United States and United Kingdom. Frequent co-authors include Genowefa Pajchel, Katarzyna Michalska, Tomasz Zaręba, Agnieszka E. Laudy, Hanna Kruszewska, Rafał Pokrowiecki, Agnieszka Mielczarek, Elżbieta Stefaniuk, Krzysztof Pawłowski and Waleria Hryniewicz. Their work appears in journals such as Journal of Chromatography A, Journal of Pharmaceutical and Biomedical Analysis, Pharmaceuticals, European Journal of Clinical Microbiology & Infectious Diseases and International Journal of Nanomedicine.

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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