Ewa Kurowska

1.3k citations
32 papers · 982 · h-index 14

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 2
    • Phosphodiesterase function and regulation 2
    • Receptor Mechanisms and Signaling 2
    • Sphingolipid Metabolism and Signaling 2
    • Nitric Oxide and Endothelin Effects 4

Ewa Kurowska

30 papers receiving 971 citations

Peers

Ewa Kurowska
Comparison fields: 5 of 109
  • Developmental Neuroscience 42
  • Nutrition and Dietetics 131
  • Molecular Biology 448
  • Oncology 160
  • Electrochemistry 40
Replace Karl Huffman with:
Karl Huffman United States
Meredith F. Ross United Kingdom
C. J. Koch United States
Vidisha Kini United States
Amanda L. Kalen United States
Shashank Masaldan Australia
Penghai Wang United States
Sailaja Elchuri India
Alexandr A. Kapralov United States
Ken-ichi Kiyomiya Japan
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Citations per field
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Citations per year

Countries citing papers authored by Ewa Kurowska

Since Specialization
Citations

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

Fields of papers citing papers by Ewa Kurowska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013419
2 2013109
3 201659
4 201359
5 200258
6 200433
7 201232
8 202026
9 201324
10 201121
11 201120
12 200417
13 201017
14 200613
15 200312
16 200310
17 20108
18 19838
19 20066
20
The cGMP synthesis and PKG1 expression in murine lymphoid organs.
20026

About Ewa Kurowska

Ewa Kurowska is a scholar working on Molecular Biology, Physiology, Pharmacology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 32 papers that have together received 982 indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Glycosylation and Glycoproteins Research (2 papers), Diabetes and associated disorders (2 papers), Phosphodiesterase function and regulation (2 papers), Receptor Mechanisms and Signaling (2 papers), Sphingolipid Metabolism and Signaling (2 papers) and Growth Hormone and Insulin-like Growth Factors (2 papers). The work is most often cited by research in Developmental Neuroscience (42 citations), Nutrition and Dietetics (131 citations), Molecular Biology (448 citations), Oncology (160 citations) and Electrochemistry (40 citations). Ewa Kurowska has collaborated with scholars based in Poland, United States and Ireland. Frequent co-authors include Wojciech Bal, Peter Faller, Magdalena Sokołowska, Maria Podbielska, Naren L. Banik, Zdzisław M. Szulc, Edward L. Hogan, Wolfgang Maret, Wojciech Gorczyca and Małgorzata Jeżowska‐Bojczuk. Their work appears in journals such as Journal of Lipid Research, Metallomics, Inorganic Chemistry, Biochimica et Biophysica Acta (BBA) - General Subjects and Glycobiology.

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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