Matthias Macháček

3.3k citations
30 papers · 2.5k indexed · 2 hit papers · h-index 14
Topics
Cellular Mechanics and Interactions (6 papers)3D Printing in Biomedical Research (4 papers)Advanced Vision and Imaging (3 papers)

In The Last Decade

Matthias Macháček

29 papers receiving 2.5k citations

Hit Papers

Coordination of Rho GTPase activities during cell protrusion200420262011201820092004200400600

Peers

Matthias Macháček
Comparison fields: 5 of 126
  • Cell Biology 1.4k
  • Molecular Biology 819
  • Immunology 472
  • Biomedical Engineering 362
  • Immunology and Allergy 361
Replace Maryse Bailly with:
Maryse Bailly United Kingdom
Xufeng Wu United States
Friedemann Kiefer Germany
Jos L. V. Broers Netherlands
Stefan Hüttelmaier Germany
D J Kwiatkowski United States
Leo M. Carlin United Kingdom
Steven Hooper United Kingdom
Guido Serini Italy
Karl‐Johan Leuchowius Sweden
Matthias Macháček relative to Maryse Bailly United Kingdom Maryse Bailly's profile →
Citations per field
00.5×1.6×
Maryse Bailly · 1×
Citations per year

Countries citing papers authored by Matthias Macháček

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Macháček

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Macháček

This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Macháček. A scholar is included among the top collaborators of Matthias Macháček 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 Matthias Macháček. Matthias Macháček 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
#WorkIndexed citations
1 1
2 2
3 0
4 3
5 1
6 11
7 22
8 87
9 9
10 4
11 208
12 127
13 37
14
Coordination of Rho GTPase activities during cell protrusionbreakdown →
740
15 153
16 8
17 181
18
Two Distinct Actin Networks Drive the Protrusion of Migrating Cellsbreakdown →
626
19 4
20 1

About Matthias Macháček

Matthias Macháček is a scholar working on Cell Biology, Gastroenterology and Rehabilitation, having authored 30 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (6 papers), 3D Printing in Biomedical Research (4 papers) and Advanced Vision and Imaging (3 papers). The work is most often cited by research in Cell Biology (1.4k citations), Immunology and Allergy (361 citations) and Biophysics (316 citations). Matthias Macháček has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Gaudenz Danuser, Clare M. Waterman, Stephanie L. Gupton, Aaron Ponti, Olivier Pertz, Perihan Nalbant, Hunter Elliott, Klaus M. Hahn, Christopher M. Welch and Gary L. Johnson. Their work appears in journals such as Nature, Science and Journal of Clinical Oncology.

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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