Danuta Witkowska

1.1k citations
79 papers · 868 · h-index 17

Impact in

Papers in

Danuta Witkowska

73 papers receiving 823 citations

Peers

Danuta Witkowska
Comparison fields: 5 of 90
  • Endocrinology 119
  • Ophthalmology 108
  • Neurology 141
  • Microbiology 56
  • Molecular Biology 377
Replace Joanna Skórko‐Glonek with:
Joanna Skórko‐Glonek Poland
L.Vincent Collins Australia
Karel H. M. van Wely Spain
Ryuji Kamata Japan
Justyna Sawa‐Makarska Austria
Katarzyna Rolle Poland
Yue Tang United Kingdom
Cheryl G. Pfeifer Canada
Lucie S. Heath United States
Masoumeh Rajabibazl Iran
Danuta Witkowska relative to Joanna Skórko‐Glonek Poland Joanna Skórko‐Glonek's profile →
Citations per field
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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 1995174
2 199477
3 198049
4 198837
5 200429
6 200522
7 201321
8 199421
9 199720
10 200619
11 200219
12 200318
13 200718
14 200617
15 200417
16 199217
17
Application of Lignocellulosic Waste Materials for the Production and Stabilization of Trichoderma Biomass
201316
18 201815
19 199415
20 200514

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 868 indexed citations. Recurring topics across this work include Escherichia coli research studies (25 papers), Biofuel production and bioconversion (19 papers), Viral gastroenteritis research and epidemiology (13 papers), Microbial Metabolites in Food Biotechnology (9 papers), Probiotics and Fermented Foods (8 papers), Enzyme Production and Characterization (8 papers), Glycosylation and Glycoproteins Research (5 papers) and Carbohydrate Chemistry and Synthesis (5 papers). The work is most often cited by research in Endocrinology (119 citations), Ophthalmology (108 citations), Neurology (141 citations), Microbiology (56 citations) and Molecular Biology (377 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, Drake Amundson, Andrzej Gamian, Henry W. Ortega, Grazyna Adamus, Anna Jarząb and Ewa Katzenellenbogen. Their work appears in journals such as Carbohydrate Research, Ophthalmic Research, Infection and Immunity, Experimental Eye Research and Pathobiology.

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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