Danuta Stefanik

29 papers receiving 2.1k citations

Peers

Danuta Stefanik
Comparison fields: 5 of 103
  • Molecular Medicine 1.3k
  • Endocrinology 494
  • Applied Microbiology and Biotechnology 175
  • Infectious Diseases 410
  • Pharmacology 373
Replace Annarita Mazzariol with:
Annarita Mazzariol Italy
Alain A. Ocampo-Sosa Spain
Yuxing Ni China
Roberta Migliavacca Italy
Lütfiye Mülazımoğlu Türkiye
Antonio Oliver Spain
Brooke K. Decker United States
María F. Mojica United States
Benjamin A. Rogers Australia
Xiaoting Hua China
Danuta Stefanik relative to Annarita Mazzariol Italy Annarita Mazzariol's profile →
Citations per field
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Annarita Mazzariol · 1×
Citations per year

Countries citing papers authored by Danuta Stefanik

Since Specialization
Citations

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

Fields of papers citing papers by Danuta Stefanik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005296
2 2013234
3 2017165
4 2011161
5 2004110
6 200497
7 201790
8 202390
9 198589
10 200783
11 200381
12 200774
13 201669
14 202067
15 201962
16 200852
17 201250
18 201541
19 201336
20 200533

About Danuta Stefanik

Danuta Stefanik is a scholar working on Molecular Medicine, Infectious Diseases, Pharmacology, Clinical Biochemistry and Pollution, having authored 29 papers that have together received 2.2k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (18 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers), Bacterial Identification and Susceptibility Testing (6 papers), Antimicrobial Resistance in Staphylococcus (5 papers), Pharmaceutical and Antibiotic Environmental Impacts (5 papers), Bacterial biofilms and quorum sensing (3 papers), Streptococcal Infections and Treatments (2 papers) and Antifungal resistance and susceptibility (2 papers). The work is most often cited by research in Molecular Medicine (1.3k citations), Endocrinology (494 citations), Applied Microbiology and Biotechnology (175 citations), Infectious Diseases (410 citations) and Pharmacology (373 citations). Danuta Stefanik has collaborated with scholars based in Germany, Spain and United States. Frequent co-authors include Harald Seifert, Paul G. Higgins, Hilmar Wisplinghoff, Richard P. Wenzel, Michael B. Edmond, Lenie Dijkshoorn, Herre Heersma, Raffaela Bressan, Tanny van der Reijden and Lucilla Dolzani. Their work appears in journals such as International Journal of Antimicrobial Agents, Journal of Clinical Microbiology, Journal of Antimicrobial Chemotherapy, Antimicrobial Agents and Chemotherapy and Journal of Infection.

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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