Danuta Witkowska

1.0k citations
79 papers · 813 · h-index 16

Impact in

Papers in

    • Escherichia coli research studies 26
    • Enterobacteriaceae and Cronobacter Research 6
    • Retinal Development and Disorders 6

Danuta Witkowska

73 papers receiving 781 citations

Peers

Danuta Witkowska
Comparison fields: 5 of 91
  • Endocrinology 116
  • Ophthalmology 129
  • Microbiology 56
  • Neurology 124
  • Immunology 124
Replace Joanna Skórko‐Glonek with:
Joanna Skórko‐Glonek Poland
Kassidy K. Huynh Canada
Ryuji Kamata Japan
Marie Pénary France
L.Vincent Collins Australia
Katarzyna Rolle Poland
Susanne Herbst United Kingdom
Cheryl G. Pfeifer Canada
Yue Tang United Kingdom
Justyna Sawa‐Makarska Austria
Danuta Witkowska relative to Joanna Skórko‐Glonek Poland Joanna Skórko‐Glonek's profile →
Citations per field
00.5×7.2×
Joanna Skórko‐Glonek · 1×
Citations per year

Countries citing papers authored by Danuta Witkowska

Since Specialization
Citations

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

Fields of papers citing papers by Danuta Witkowska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995159
2 199470
3 198042
4 198837
5 200426
6 200521
7 199720
8 199420
9 201320
10 200219
11 200619
12 199217
13 200717
14 200317
15 200617
16 200415
17 199415
18
Application of Lignocellulosic Waste Materials for the Production and Stabilization of Trichoderma Biomass
201314
19 201314
20 200512

About Danuta Witkowska

Danuta Witkowska is a scholar working on Endocrinology, Molecular Biology, Biomedical Engineering, Infectious Diseases and Biotechnology, having authored 79 papers that have together received 813 indexed citations. Recurring topics across this work include Escherichia coli research studies (26 papers), Biofuel production and bioconversion (19 papers), Viral gastroenteritis research and epidemiology (13 papers), Microbial Metabolites in Food Biotechnology (9 papers), Enzyme Production and Characterization (8 papers), Probiotics and Fermented Foods (8 papers), Retinal Development and Disorders (6 papers) and Enterobacteriaceae and Cronobacter Research (6 papers). The work is most often cited by research in Endocrinology (116 citations), Ophthalmology (129 citations), Microbiology (56 citations), Neurology (124 citations) and Immunology (124 citations). Danuta Witkowska has collaborated with scholars based in Poland, United States and France. Frequent co-authors include Arthur S. Polans, Lawrence Baizer, Grażyna Adamus, M Mulczyk, Andrzej Gamian, Drake Amundson, Henry W. Ortega, Grazyna Adamus, Anna Jarząb and Michał Piegza. Their work appears in journals such as Carbohydrate Research, Scientific Reports, Infection and Immunity, Vaccine and Experimental Eye Research.

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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