Patrycja Koszałka

866 citations
32 papers · 727 · h-index 11

Impact in

Papers in

    • Receptor Mechanisms and Signaling 2
    • Adenosine and Purinergic Signaling 14
    • Calcium signaling and nucleotide metabolism 3

Patrycja Koszałka

31 papers receiving 718 citations

Peers

Patrycja Koszałka
Comparison fields: 5 of 82
  • Physiology 433
  • Endocrine and Autonomic Systems 61
  • Biological Psychiatry 14
  • Speech and Hearing 35
  • Neurology 43
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Citations per year

Countries citing papers authored by Patrycja Koszałka

Since Specialization
Citations

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

Fields of papers citing papers by Patrycja Koszałka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Patrycja Koszałka, 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 Patrycja Koszałka Line = papers co-authored together Patrycja Koszałka 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 2004204
2 2008142
3 201651
4 201836
5 201133
6 201533
7 202331
8 201331
9 201923
10 201918
11 200615
12 20229
13 20139
14 20228
15 20218
16 20148
17 20188
18
The effect of angiogenesis inhibitor TNP-470 on the blood vessels of the lungs, kidneys and livers of treated hamsters.
20048
19 20197
20
Synergistic effect of the angiogenesis inhibitor TNP-470 and tumor necrosis factor (TNF) on Bomirski Ab melanoma in hamsters.
20016

About Patrycja Koszałka

Patrycja Koszałka is a scholar working on Molecular Biology, Physiology, Immunology, Oncology and Epidemiology, having authored 32 papers that have together received 727 indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (14 papers), Neurological Complications and Syndromes (4 papers), Calcium signaling and nucleotide metabolism (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Nanoplatforms for cancer theranostics (3 papers), Receptor Mechanisms and Signaling (2 papers), Immunotherapy and Immune Responses (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Physiology (433 citations), Endocrine and Autonomic Systems (61 citations), Biological Psychiatry (14 citations), Speech and Hearing (35 citations) and Neurology (43 citations). Patrycja Koszałka has collaborated with scholars based in Poland, Germany and United States. Frequent co-authors include Jürgen Schrader, Herbert Zimmermann, Jacek Bigda, Klaus Hammer, Simon C. Robson, David Langer, Grzegorz Stasiłojć, Barbara Kutryb-Zając, Andrzej C. Składanowski and Ewa M. Słomińska. Their work appears in journals such as International Journal of Molecular Sciences, Gene, Cellular & Molecular Biology Letters, PLoS ONE and Biology.

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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