Danuta Duś

1.8k citations
106 papers · 1.5k indexed · h-index 23

Danuta Duś

104 papers receiving 1.5k citations

Peers

Danuta Duś
Comparison fields: 5 of 104
  • Immunology 327
  • Oncology 378
  • Cancer Research 171
  • Molecular Biology 776
  • Immunology and Allergy 67
Replace Martin K. Bijsterbosch with:
Martin K. Bijsterbosch Netherlands
Hidesuke Fukazawa Japan
José Sullivan López-González Mexico
Adrienne L. Edkins South Africa
Hsiang Fu Kung Hong Kong
Neil A. Cross United Kingdom
F Traganos United States
Carlo Mischiati Italy
Andrew J. Wiemer United States
Eric Scholar United States
Danuta Duś relative to Martin K. Bijsterbosch Netherlands Martin K. Bijsterbosch's profile →
Citations per field
00.5×3.1×
Martin K. Bijsterbosch · 1×
Citations per year

Countries citing papers authored by Danuta Duś

Since Specialization
Citations

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

Fields of papers citing papers by Danuta Duś

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202114
2 202012
3 201713
4 201313
5 201210
6 20125
7 20102
8 201051
9 20085
10
Kliniczne skutki oporności wielolekowej w nowotworach
20052
11 200534
12 200530
13
Clinical effects of multidrug resistance in neoplasms
20053
14 200430
15
Reviev paper Endothelial adhesion molecules contribution to leukocyte recruitment into inflamed tissues
20043
16 200412
17 200328
18 20003
19 19905
20 19891

About Danuta Duś

Danuta Duś is a scholar working on Immunology and Allergy, Immunology, Oncology, Biotechnology and Molecular Biology, having authored 106 papers that have together received 1.5k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (21 papers), Immunotherapy and Immune Responses (13 papers), Angiogenesis and VEGF in Cancer (12 papers), Monoclonal and Polyclonal Antibodies Research (11 papers), Immune Cell Function and Interaction (8 papers), Cell Adhesion Molecules Research (8 papers), Cancer Research and Treatments (7 papers) and T-cell and B-cell Immunology (7 papers). The work is most often cited by research in Immunology (327 citations), Oncology (378 citations), Cancer Research (171 citations), Molecular Biology (776 citations) and Immunology and Allergy (67 citations). Danuta Duś has collaborated with scholars based in Poland, France and United States. Frequent co-authors include Maria Paprocka, Agnieszka Krawczenko, Aleksandra Bielawska‐Pohl, Joanna Rossowska, Elżbieta Pajtasz‐Piasecka, Claudine Kiéda, Andrzej Dżugaj, Krystyna Michalak, Olga Wesołowska and Czesław Radzikowski. Their work appears in journals such as International Journal of Cancer, Immunobiology, Immunology Letters, Canadian Journal of Chemistry and Clinical & Experimental Metastasis.

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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