Matthias Macháček

3.3k total citations · 2 hit papers
30 papers, 2.5k citations indexed

About

Matthias Macháček is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Matthias Macháček has authored 30 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Cell Biology and 5 papers in Immunology. Recurrent topics in Matthias Macháček's work include Cellular Mechanics and Interactions (6 papers), 3D Printing in Biomedical Research (4 papers) and Advanced Vision and Imaging (3 papers). Matthias Macháček is often cited by papers focused on Cellular Mechanics and Interactions (6 papers), 3D Printing in Biomedical Research (4 papers) and Advanced Vision and Imaging (3 papers). Matthias Macháček collaborates with scholars based in Switzerland, United States and Germany. Matthias Macháček's co-authors include Gaudenz Danuser, Clare M. Waterman, Aaron Ponti, Stephanie L. Gupton, Olivier Pertz, Perihan Nalbant, Hunter Elliott, Louis Hodgson, Klaus M. Hahn and Amy N. Abell and has published in prestigious journals such as Nature, Science and Journal of Clinical Oncology.

In The Last Decade

Matthias Macháček

29 papers receiving 2.5k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Coordination of Rho GTPase activities during cell protrusion

2009 740 citations Matthias Macháček, Louis Hodgson et al. Nature profile →
Two Distinct Actin Networks Drive the Protrusion of Migrating Cells

2004 626 citations Aaron Ponti, Matthias Macháček et al. Science profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Matthias Macháček Switzerland	14	1.4k	819	472	362	361	30	2.5k
Maryse Bailly United Kingdom	33	1.6k 1.2×	1.5k 1.8×	302 0.6×	319 0.9×	727 2.0×	66	3.3k
Xufeng Wu United States	39	3.0k 2.2×	2.9k 3.5×	638 1.4×	234 0.6×	237 0.7×	70	5.3k
Joseph Loureiro United States	22	1.8k 1.3×	2.5k 3.1×	286 0.6×	167 0.5×	477 1.3×	36	4.1k
Geraldine M. O’Neill Australia	32	1.1k 0.8×	1.7k 2.1×	259 0.5×	240 0.7×	693 1.9×	78	3.0k
Alison J. North United States	19	726 0.5×	1.3k 1.5×	90 0.2×	229 0.6×	108 0.3×	25	2.4k
Ewan J. McGhee United Kingdom	22	732 0.5×	969 1.2×	276 0.6×	374 1.0×	204 0.6×	43	2.4k
Kristin M. Riching United States	11	831 0.6×	737 0.9×	120 0.3×	1.0k 2.8×	251 0.7×	13	2.7k
Niels Grabe Germany	33	492 0.4×	1.2k 1.5×	907 1.9×	279 0.8×	80 0.2×	106	4.6k
Thomas P. Kole United States	21	971 0.7×	941 1.1×	914 1.9×	447 1.2×	106 0.3×	39	3.0k
Alexandra Van Keymeulen Belgium	23	810 0.6×	2.0k 2.5×	426 0.9×	172 0.5×	302 0.8×	32	3.9k

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

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20 of 20 papers shown

Michalon, Aubin, Matthias Macháček, Chandrasekhar Udata, et al.. (2024). Prediction of Cardiac ATTR Depletion by NI006 (ALXN2220) Using Mechanistic PK/PD Modeling. Clinical Pharmacology & Therapeutics. 117(1). 261–269. 1 indexed citations

Macháček, Matthias, et al.. (2024). NfL concentration in CSF is a quantitative marker of the rate of neurodegeneration in aging and Huntington's disease: a semi-mechanistic model-based analysis. Frontiers in Neuroscience. 18. 1420198–1420198. 2 indexed citations

Kunz, Wolfram S., et al.. (2024). Intrathecal administration of Anti-Nogo-A antibody in macaque monkeys: Pharmacokinetics, tissue penetration and target interaction. Neurotherapeutics. 22(2). e00484–e00484.

Bolognani, Federico, Annelieke C. Kruithof, Matthias Macháček, et al.. (2023). Characterization of the Pharmacokinetic and Pharmacodynamic Profile of Apraglutide, a Glucagon-Like Peptide-2 Analog, in Healthy Volunteers. Journal of Pharmacology and Experimental Therapeutics. 386(2). 129–137. 3 indexed citations

Bolognani, Federico, Matthias Macháček, Annelieke C. Kruithof, et al.. (2021). Su559 POPULATION MODEL CONFIRMS PREDICTABLE PHARMACOKINETIC (PK) AND PHARMACODYNAMIC (PD) PROFILE FOR APRAGLUTIDE - DATA FROM TWO RANDOMIZED PHASE 1 STUDIES. Gastroenterology. 160(6). S–738. 1 indexed citations

Caruso, Antonello, et al.. (2020). Modeling the activation of the alternative complement pathway and its effects on hemolysis in health and disease. PLoS Computational Biology. 16(10). e1008139–e1008139. 11 indexed citations

Binder, Uli, William McDowell, Rita Tommasi, et al.. (2019). Half-life extension and non-human primate pharmacokinetic safety studies of i-body AD-114 targeting human CXCR4. mAbs. 11(7). 1331–1340. 22 indexed citations

Lebozec, Kristell, Peter Dogterom, Philippe Billiald, et al.. (2019). Safety and Tolerability, Pharmacokinetics, and Pharmacodynamics of ACT017, an Antiplatelet GPVI (Glycoprotein VI) Fab. Arteriosclerosis Thrombosis and Vascular Biology. 39(5). 956–964. 87 indexed citations

Keilholz, Ulrich, Alexander Schmittel, Konrad Klinghammer, et al.. (2017). First-in-man dose escalation and pharmacokinetic study of CAP7.1, a novel prodrug of etoposide, in adults with refractory solid tumours. European Journal of Cancer. 80. 14–25. 9 indexed citations

10.

Macháček, Matthias, et al.. (2016). Population pharmacokinetics of PQR309, a dual PI3K/mTOR inhibitor in adult patients with advanced solid tumors.. Journal of Clinical Oncology. 34(15_suppl). e14101–e14101. 3 indexed citations

11.

Kamm, Christian P., Jessica Burggraaff, Prejaas Tewarie, et al.. (2014). Assessment of Disability in Multiple Sclerosis Using the Kinect-Camera System: A Proof-of-Concept Study (P3.139). Neurology. 82(10_supplement). 4 indexed citations

12.

Tkachenko, Eugene, Mohsen Sabouri-Ghomi, Olivier Pertz, et al.. (2011). Protein kinase A governs a RhoA–RhoGDI protrusion–retraction pacemaker in migrating cells. Nature Cell Biology. 13(6). 660–667. 127 indexed citations

13.

Lim, James, Mohsen Sabouri-Ghomi, Matthias Macháček, Clare M. Waterman, & Gaudenz Danuser. (2010). Protrusion and actin assembly are coupled to the organization of lamellar contractile structures. Experimental Cell Research. 316(13). 2027–2041. 37 indexed citations

14.

Macháček, Matthias, Louis Hodgson, Christopher M. Welch, et al.. (2009). Coordination of Rho GTPase activities during cell protrusion. Nature. 461(7260). 99–103. 740 indexed citations breakdown →

15.

Macháček, Matthias, Céline DerMardirossian, Karen Anderson, et al.. (2007). Cofilin Activity Downstream of Pak1 Regulates Cell Protrusion Efficiency by Organizing Lamellipodium and Lamella Actin Networks. Developmental Cell. 13(5). 646–662. 153 indexed citations

16.

Gabutti, Luca, Matthias Macháček, Claudio Marone, & Paolo Ferrari. (2005). Predicting intradialytic hypotension from experience, statistical models and artificial neural networks. Journal of Nephrology. 18(4). 409–416. 8 indexed citations

17.

Macháček, Matthias & Gaudenz Danuser. (2005). Morphodynamic Profiling of Protrusion Phenotypes. Biophysical Journal. 90(4). 1439–1452. 181 indexed citations

18.

Ponti, Aaron, Matthias Macháček, Stephanie L. Gupton, Clare M. Waterman, & Gaudenz Danuser. (2004). Two Distinct Actin Networks Drive the Protrusion of Migrating Cells. Science. 305(5691). 1782–1786. 626 indexed citations breakdown →

19.

Macháček, Matthias & Thomas Rösgen. (2003). Fluid flow visualization by three-dimensionally reconstructed tracer path lines. Journal of Visualization. 6(2). 115–124. 4 indexed citations

20.

Macháček, Matthias & Thomas Rösgen. (2002). Photogrammetric and Image Processing Aspects in Quantitative Flow Visualization. Annals of the New York Academy of Sciences. 972(1). 36–42. 1 indexed citations

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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