Ewa Witkowska

853 citations
51 papers · 620 · h-index 14

Impact in

Papers in

    • Chemical Synthesis and Analysis 10
    • Receptor Mechanisms and Signaling 6
    • Angiogenesis and VEGF in Cancer 5
    • Biochemical and Structural Characterization 3
    • Neuropeptides and Animal Physiology 16
    • Neurotransmitter Receptor Influence on Behavior 3

Ewa Witkowska

48 papers receiving 609 citations

Peers

Ewa Witkowska
Comparison fields: 5 of 115
  • Cellular and Molecular Neuroscience 155
  • Molecular Biology 330
  • Genetics 39
  • Microbiology 20
  • Process Chemistry and Technology 9
Replace Björn Sjöblom with:
Björn Sjöblom Sweden
Melissa Hewitt Canada
Tamás Kovács Hungary
Steven Mortillo United States
Klaus D. Linse United States
A. Matsushima Japan
Clare M. O’Connor United States
Michelle Li United States
James T Patterson United States
Ewa Witkowska relative to Björn Sjöblom Sweden Björn Sjöblom's profile →
Citations per field
00.5×6.7×
Björn Sjöblom · 1×
Citations per year

Countries citing papers authored by Ewa Witkowska

Since Specialization
Citations

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

Fields of papers citing papers by Ewa Witkowska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201783
2 199773
3 202155
4 200838
5 202027
6 201618
7 200817
8 201017
9 198017
10 201616
11 200715
12 198715
13 201215
14 200415
15 202013
16 202013
17 200913
18 200112
19 200811
20 20079

About Ewa Witkowska

Ewa Witkowska is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Cancer Research and Oncology, having authored 51 papers that have together received 620 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (16 papers), Chemical Synthesis and Analysis (10 papers), Pain Mechanisms and Treatments (8 papers), Receptor Mechanisms and Signaling (6 papers), Angiogenesis and VEGF in Cancer (5 papers), Cancer, Hypoxia, and Metabolism (4 papers), Biochemical and Structural Characterization (3 papers) and Neurotransmitter Receptor Influence on Behavior (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (155 citations), Molecular Biology (330 citations), Genetics (39 citations), Microbiology (20 citations) and Process Chemistry and Technology (9 citations). Ewa Witkowska has collaborated with scholars based in Poland, Canada and United States. Frequent co-authors include Jan Izdebski, Bartosz Witkowski, Łukasz Goczek, Jolanta H. Kotlińska, Aleksandra Misicka, Marcin Sobczak, Ewa Olędzka, Nga N. Chung, Peter W. Schiller and Wacław Kołodziejski. Their work appears in journals such as Journal of Peptide Science, Blood, Peptides, Archives of Oral Biology and Pharmaceutics.

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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