Martyna Szpakowska

1.6k total citations
54 papers, 972 citations indexed

About

Martyna Szpakowska is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Martyna Szpakowska has authored 54 papers receiving a total of 972 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Oncology, 31 papers in Immunology and 25 papers in Molecular Biology. Recurrent topics in Martyna Szpakowska's work include Chemokine receptors and signaling (40 papers), Receptor Mechanisms and Signaling (19 papers) and Immunotherapy and Immune Responses (18 papers). Martyna Szpakowska is often cited by papers focused on Chemokine receptors and signaling (40 papers), Receptor Mechanisms and Signaling (19 papers) and Immunotherapy and Immune Responses (18 papers). Martyna Szpakowska collaborates with scholars based in Luxembourg, Belgium and United States. Martyna Szpakowska's co-authors include Andy Chevigné, Max Meyrath, Julien Hanson, Brian F. Volkman, Andrew B. Kleist, Virginie Fiévez, Jean-Claude Schmit, Markus Ollert, Bassam Janji and Alessandra Baragli and has published in prestigious journals such as Science, Cell and Journal of Biological Chemistry.

In The Last Decade

Martyna Szpakowska

52 papers receiving 970 citations

Peers

Martyna Szpakowska
Comparison fields: 5 of 73
  • Oncology 573
  • Immunology 486
  • Molecular Biology 416
  • Cellular and Molecular Neuroscience 178
  • Radiology, Nuclear Medicine and Imaging 107
Replace Pan Li with:
Pan Li China
Michael Engelke Germany
Kazumi Hayashi Japan
Yamina A. Berchiche Canada
Max Meyrath Luxembourg
Alexander Faußner Germany
Francesca Capotosti Switzerland
Gregory N. Prado United States
Jingya Ma United States
Michele Pallaoro Italy
Pan Li China View profile →
Citations per field, relative to Martyna Szpakowska
Martyna Szpakowska · 1×
Citations per year, relative to Martyna Szpakowska
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Countries citing papers authored by Martyna Szpakowska

Since Specialization
Citations

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

Fields of papers citing papers by Martyna Szpakowska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martyna Szpakowska

This figure shows the co-authorship network connecting the top 25 collaborators of Martyna Szpakowska. A scholar is included among the top collaborators of Martyna Szpakowska based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Martyna Szpakowska. Martyna Szpakowska is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 2
4 0
5 3
6 4
7 2
8 25
9 4
10 15
11 16
12 10
13 22
14 27
15 82
16 49
17 28
18
Molecular insights into recognition, activation and function of the atypical chemokine receptor CXCR7/ACKR3
2
19 34
20 18

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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