Anna Krasowska

88 papers receiving 2.5k citations

Anna Krasowska's Hit Papers

How microorganisms use hydrophobicity and what does this mean for human needs? 2014 · 538 citations
5380+4+8Years since publication100200300400500

Peers

Anna Krasowska
Comparison fields: 5 of 129
  • Pollution 492
  • Infectious Diseases 474
  • Microbiology 158
  • Food Science 399
  • Biotechnology 140
Replace Tasneem Fatma with:
Tasneem Fatma India
Marcin Łukaszewicz Poland
José L. Luque-García Spain
Paulraj Kanmani South Korea
Neil P. J. Price United States
María José Grande Burgos Spain
Nasrin Samadi Iran
Andrew P. Desbois United Kingdom
Mitesh B. Patel India
Edayileveettil Krishnankutty Radhakrishnan India
Anna Krasowska relative to Tasneem Fatma India Tasneem Fatma's profile →
Citations per field
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Tasneem Fatma · 1×
Citations per year

Countries citing papers authored by Anna Krasowska

Since Specialization
Citations

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

Fields of papers citing papers by Anna Krasowska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1
How microorganisms use hydrophobicity and what does this mean for human needs?
Hit paper breakdown →
2014538
2 2010141
3 2010139
4 2012132
5 2013109
6 201390
7 200484
8 201771
9 201861
10 201359
11 200957
12 201950
13 201946
14 201540
15 201538
16 201638
17 201736
18 200734
19 201034
20 201933

About Anna Krasowska

Anna Krasowska is a scholar working on Infectious Diseases, Biotechnology, Organic Chemistry, Pollution and Food Science, having authored 89 papers that have together received 2.5k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (23 papers), Fungal Infections and Studies (10 papers), Probiotics and Fermented Foods (8 papers), Microbial Metabolic Engineering and Bioproduction (7 papers), Microbial bioremediation and biosurfactants (6 papers), Antioxidant Activity and Oxidative Stress (5 papers), Ionic liquids properties and applications (5 papers) and Animal Nutrition and Physiology (5 papers). The work is most often cited by research in Pollution (492 citations), Infectious Diseases (474 citations), Microbiology (158 citations), Food Science (399 citations) and Biotechnology (140 citations). Anna Krasowska has collaborated with scholars based in Poland, Czechia and Portugal. Frequent co-authors include Karel Sigler, Marcin Łukaszewicz, Tomasz Janek, Jakub Suchodolski, Dorota Dziadkowiec, Joanna Feder‐Kubis, Przemysław Bernat, Jacek Łuczyński, Tomáš Řezanka and Ewa Obłąk. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Biotechnology, Frontiers in Microbiology, PLoS ONE and Molecules.

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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