Stefan Tyski

125 papers receiving 2.0k citations

Peers

Stefan Tyski
Comparison fields: 5 of 119
  • Molecular Medicine 308
  • Applied Microbiology and Biotechnology 59
  • Pharmacology 436
  • Microbiology 121
  • Analytical Chemistry 177
Replace Jennifer M. Andrews with:
Jennifer M. Andrews United Kingdom
Sujata G. Dastidar India
Paul Stapleton United Kingdom
Tadakatsu Shimamura Japan
L. Dubreuil France
Anna Malm Poland
Filip Růžička Czechia
Anna De Filippis Italy
Masanori Sasatsu Japan
William M. Wuest United States
Stefan Tyski relative to Jennifer M. Andrews United Kingdom Jennifer M. Andrews's profile →
Citations per field
00.5×4.7×
Jennifer M. Andrews · 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 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018106
2 2012101
3 200288
4 201785
5 201778
6 202273
7 201771
8 201960
9 199659
10 201756
11 200456
12 201656
13
Search of antimicrobial activity of selected non-antibiotic drugs.
200355
14 198354
15 201154
16 200046
17 200845
18 200743
19 202240
20
Antimicrobial activity of ozonated water.
201033

About Stefan Tyski

Stefan Tyski is a scholar working on Molecular Biology, Pharmacology, Infectious Diseases, Organic Chemistry and Molecular Medicine, having authored 131 papers that have together received 2.1k 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 (12 papers), Bacterial Infections and Vaccines (11 papers), Probiotics and Fermented Foods (11 papers) and Antimicrobial agents and applications (9 papers). The work is most often cited by research in Molecular Medicine (308 citations), Applied Microbiology and Biotechnology (59 citations), Pharmacology (436 citations), Microbiology (121 citations) and Analytical Chemistry (177 citations). Stefan Tyski has collaborated with scholars based in Poland, United States and Sweden. Frequent co-authors include Genowefa Pajchel, Katarzyna Michalska, Tomasz Zaręba, Agnieszka E. Laudy, Hanna Kruszewska, Agnieszka Mielczarek, Rafał Pokrowiecki, Elżbieta Stefaniuk, Waleria Hryniewicz and Krzysztof Pawłowski. Their work appears in journals such as Journal of Chromatography A, Journal of Pharmaceutical and Biomedical Analysis, International Journal of Nanomedicine, Pharmaceuticals and PLoS ONE.

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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