Danuta Krasowska

441 total citations · 1 hit paper
10 papers, 308 citations indexed

About

Danuta Krasowska is a scholar working on Molecular Biology, Organic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Danuta Krasowska has authored 10 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Organic Chemistry and 2 papers in Computational Theory and Mathematics. Recurrent topics in Danuta Krasowska's work include Computational Drug Discovery Methods (2 papers), Melanoma and MAPK Pathways (2 papers) and Click Chemistry and Applications (1 paper). Danuta Krasowska is often cited by papers focused on Computational Drug Discovery Methods (2 papers), Melanoma and MAPK Pathways (2 papers) and Click Chemistry and Applications (1 paper). Danuta Krasowska collaborates with scholars based in Poland and Italy. Danuta Krasowska's co-authors include Monika Sitarz, Alicja Forma, Piero Portincasa, Gabriella Garruti, Jacek Baj, Ryszard Maciejewski, Monika Pitucha, Dorota Krasowska, Agnieszka Gerkowicz and Joanna Bartosińska and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Cells.

In The Last Decade

Danuta Krasowska

10 papers receiving 301 citations

Hit Papers

Helicobacter pylori Virulence Factors—Mechanisms of Bacte... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers

Danuta Krasowska
Comparison fields: 5 of 67
  • Surgery 211
  • Immunology 107
  • Molecular Biology 74
  • Pulmonary and Respiratory Medicine 60
  • Small Animals 37
Replace Lennart Pfannkuch with:
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Cristiana De Musis Italy
Boldbaatar Gantuya Japan
Cheng‐Chan Lu Taiwan
Augusto F. Uberti Brazil
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Hedayatollah Shirzad Iran
Lena Brenner Germany
Dariush Mirsattari Iran
Yuta Fuyuno Japan
Lennart Pfannkuch Germany View profile →
Citations per field, relative to Danuta Krasowska
Danuta Krasowska · 1×
Citations per year, relative to Danuta Krasowska
Danuta Krasowska · 1×

Countries citing papers authored by Danuta Krasowska

Since Specialization
Citations

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

Fields of papers citing papers by Danuta Krasowska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danuta Krasowska

This figure shows the co-authorship network connecting the top 25 collaborators of Danuta Krasowska. A scholar is included among the top collaborators of Danuta Krasowska based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Danuta Krasowska. Danuta Krasowska is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
# Work Indexed citations
1 1
2 1
3 2
4 12
5 15
6 10
7 8
8 1
9
Helicobacter pylori Virulence Factors—Mechanisms of Bacterial Pathogenicity in the Gastric Microenvironment breakdown →
256
10 2

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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