Danuta E. Mossakowska

1.1k citations
22 papers · 1.0k · h-index 15

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 2
    • Metabolism, Diabetes, and Cancer 2
    • RNA and protein synthesis mechanisms 2
    • Bacterial Genetics and Biotechnology 3

Danuta E. Mossakowska

22 papers receiving 958 citations

Peers

Danuta E. Mossakowska
Comparison fields: 5 of 87
  • Molecular Medicine 127
  • Aging 27
  • Endocrine and Autonomic Systems 91
  • Molecular Biology 641
  • Geriatrics and Gerontology 28
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Citations per year

Countries citing papers authored by Danuta E. Mossakowska

Since Specialization
Citations

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

Fields of papers citing papers by Danuta E. Mossakowska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Identification of high-affinity binding sites for the insulin sensitizer rosiglitazone (BRL-49653) in rodent and human adipocytes using a radioiodinated ligand for peroxisomal proliferator-activated receptor gamma.
1998211
2 1989122
3 1997110
4 198599
5 199893
6 201393
7 198935
8 201332
9 199531
10 199930
11 199726
12 200624
13 201722
14 202019
15 200617
16 19969
17 20139
18 19989
19 19986
20 19994

About Danuta E. Mossakowska

Danuta E. Mossakowska is a scholar working on Molecular Biology, Genetics, Immunology, Public Health, Environmental and Occupational Health and Physiology, having authored 22 papers that have together received 1.0k indexed citations. Recurring topics across this work include Complement system in diseases (4 papers), Bacterial Genetics and Biotechnology (3 papers), Glycosylation and Glycoproteins Research (2 papers), Streptococcal Infections and Treatments (2 papers), Blood groups and transfusion (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Antibiotic Resistance in Bacteria (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Molecular Medicine (127 citations), Aging (27 citations), Endocrine and Autonomic Systems (91 citations), Molecular Biology (641 citations) and Geriatrics and Gerontology (28 citations). Danuta E. Mossakowska has collaborated with scholars based in United Kingdom, United States and Poland. Frequent co-authors include Kerstin Nyberg, Alan R. Fersht, Jeremy W. Dale, Richard A. Smith, Ian B. Dodd, Pauline Stephenson, Sue Wall, Stephen A. Smith, Paul J. Coyle and Julie C. Holder. Their work appears in journals such as Protein Expression and Purification, European Journal of Immunology, Scientific Reports, Computational and Structural Biotechnology Journal and Journal of Pharmacology and Experimental Therapeutics.

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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