Danuta Stefanik

2.8k citations
29 papers · 2.1k indexed · h-index 23

Impact in

Papers in

Danuta Stefanik

29 papers receiving 2.1k citations

Peers

Danuta Stefanik
Comparison fields: 5 of 104
  • Molecular Medicine 1.4k
  • Endocrinology 600
  • Applied Microbiology and Biotechnology 231
  • Pharmacology 489
  • Clinical Biochemistry 188
Replace Annarita Mazzariol with:
Annarita Mazzariol Italy
Alain A. Ocampo-Sosa Spain
Roberta Migliavacca Italy
Antonio Oliver Spain
Susan D. Rudin United States
Kwang Seung Park South Korea
Lütfiye Mülazımoğlu Türkiye
Xiaoting Hua China
S. G. B. Amyes United Kingdom
Kim Nichol Canada
Danuta Stefanik relative to Annarita Mazzariol Italy Annarita Mazzariol's profile →
Citations per field
00.5×1.5×1.9×
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-authorship network

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
#Work
1 202313
2 202214
3 201929
4 201922
5 201961
6 2017161
7 201669
8 201611
9 201542
10 2013234
11 201336
12 201250
13 2011156
14 200852
15 200631
16 200496
17 2004110
18 199623
19 199521
20 198589

About Danuta Stefanik

Danuta Stefanik is a scholar working on Molecular Medicine, Clinical Biochemistry, Endocrinology, Pharmacology and Applied Microbiology and Biotechnology, having authored 29 papers that have together received 2.1k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (18 papers), Antibiotics Pharmacokinetics and Efficacy (10 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 (4 papers), Pneumonia and Respiratory Infections (3 papers) and Plant Pathogenic Bacteria Studies (3 papers). The work is most often cited by research in Molecular Medicine (1.4k citations), Endocrinology (600 citations), Applied Microbiology and Biotechnology (231 citations), Pharmacology (489 citations) and Clinical Biochemistry (188 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, Lucilla Dolzani, Tanny van der Reijden and Raffaela Bressan. 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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