Magdalena Matusiak

1.7k citations
16 papers · 837 indexed · 1 hit paper · h-index 11
Topics
Inflammasome and immune disorders (5 papers)interferon and immune responses (3 papers)Single-cell and spatial transcriptomics (2 papers)

In The Last Decade

Magdalena Matusiak

16 papers receiving 831 citations

Hit Papers

Spatially Segregated Macrophage Populations Predict Disti...2024202620252024204060

Peers

Magdalena Matusiak
Comparison fields: 5 of 79
  • Molecular Biology 533
  • Immunology 352
  • Oncology 180
  • Cancer Research 101
  • Pulmonary and Respiratory Medicine 86
Replace Tahlita C.M. Zuiverloon with:
Tahlita C.M. Zuiverloon Netherlands
Meggan Czapiga United States
Ermanno Nardon Italy
Shruti Sharma United States
Liam Whitby United Kingdom
D Barge United Kingdom
Philippe Poncelet France
Gisela Cáceres United States
Jaclyn Taroni United States
Magdalena Matusiak relative to Tahlita C.M. Zuiverloon Netherlands Tahlita C.M. Zuiverloon's profile →
Citations per field
00.5×1.5×2.3×
Tahlita C.M. Zuiverloon · 1×
Citations per year

Countries citing papers authored by Magdalena Matusiak

Since Specialization
Citations

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

Fields of papers citing papers by Magdalena Matusiak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Magdalena Matusiak

This figure shows the co-authorship network connecting the top 25 collaborators of Magdalena Matusiak. A scholar is included among the top collaborators of Magdalena Matusiak 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 Magdalena Matusiak. Magdalena Matusiak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1
Spatially Segregated Macrophage Populations Predict Distinct Outcomes in Colon Cancerbreakdown →
62
2 14
3 177
4 124
5 4
6 8
7 23
8 33
9 1
10 1
11 108
12 141
13 15
14 22
15 100
16 4

About Magdalena Matusiak

Magdalena Matusiak is a scholar working on Biophysics, Cancer Research and Immunology, having authored 16 papers that have together received 837 indexed citations. Recurring topics across this work include Inflammasome and immune disorders (5 papers), interferon and immune responses (3 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Immunology (352 citations), Molecular Biology (533 citations) and Nephrology (50 citations). Magdalena Matusiak has collaborated with scholars based in United States, Belgium and Germany. Frequent co-authors include Nina Van Opdenbosch, Mohamed Lamkanfi, Lieselotte Vande Walle, Thirumala‐Devi Kanneganti, Christian M. Schürch, Matt van de Rijn, Aaron M. Newman, Bogdan Luca, Jean‐Claude Sirard and Joanna Przybył. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

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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