Markos Pechlivanis

733 total citations
8 papers, 596 citations indexed

About

Markos Pechlivanis is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Markos Pechlivanis has authored 8 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cell Biology and 2 papers in Physiology. Recurrent topics in Markos Pechlivanis's work include Protein Kinase Regulation and GTPase Signaling (4 papers), Cellular transport and secretion (3 papers) and Cellular Mechanics and Interactions (2 papers). Markos Pechlivanis is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (4 papers), Cellular transport and secretion (3 papers) and Cellular Mechanics and Interactions (2 papers). Markos Pechlivanis collaborates with scholars based in Germany. Markos Pechlivanis's co-authors include Jürgen Kuhlmann, Herbert Waldmann, Luc Brunsveld, Zhiping Huang, Oliver Rocks, Anchal Chandra, Philippe I. H. Bastiaens, Nachiket Vartak, Bernhard Ellinger and Sebastian Koch and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Biochemistry.

In The Last Decade

Markos Pechlivanis

8 papers receiving 590 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Markos Pechlivanis Germany 8 466 248 61 42 40 8 596
Jean-Christophe Larcher France 10 461 1.0× 324 1.3× 47 0.8× 43 1.0× 30 0.8× 15 585
Aaron H. Nile United States 16 738 1.6× 305 1.2× 73 1.2× 62 1.5× 37 0.9× 27 902
Irene Fialka Austria 12 654 1.4× 269 1.1× 97 1.6× 58 1.4× 43 1.1× 13 897
Alison J. Inglis United Kingdom 10 592 1.3× 236 1.0× 37 0.6× 17 0.4× 44 1.1× 11 744
Sebastian Mathea Germany 18 617 1.3× 237 1.0× 148 2.4× 44 1.0× 48 1.2× 42 922
Y. John Shyu United States 8 635 1.4× 153 0.6× 57 0.9× 96 2.3× 39 1.0× 9 846
Steven E. Glynn United States 13 740 1.6× 205 0.8× 50 0.8× 37 0.9× 28 0.7× 22 871
Audrey van Drogen Switzerland 10 570 1.2× 230 0.9× 84 1.4× 22 0.5× 17 0.4× 11 752
Claire M. Mulvey United Kingdom 14 595 1.3× 215 0.9× 35 0.6× 22 0.5× 57 1.4× 25 820
Manfred Koranda Austria 8 741 1.6× 113 0.5× 101 1.7× 29 0.7× 35 0.9× 10 849

Countries citing papers authored by Markos Pechlivanis

Since Specialization
Citations

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

Fields of papers citing papers by Markos Pechlivanis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markos Pechlivanis

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

All Works

8 of 8 papers shown
1.
Nolte, Thomas, Thomas D. Mueller, Markos Pechlivanis, et al.. (2013). NOD-scid IL2R γnull mice engrafted with human peripheral blood mononuclear cells as a model to test therapeutics targeting human signaling pathways. Journal of Translational Medicine. 11(1). 4–4. 8 indexed citations
2.
Zeth, Kornelius, et al.. (2011). Molecular Basis of Actin Nucleation Factor Cooperativity. Journal of Biological Chemistry. 286(35). 30732–30739. 28 indexed citations
3.
Rocks, Oliver, Nachiket Vartak, Sebastian Koch, et al.. (2010). The Palmitoylation Machinery Is a Spatially Organizing System for Peripheral Membrane Proteins. Cell. 141(3). 458–471. 366 indexed citations
4.
Pechlivanis, Markos, et al.. (2009). Identification of a Short Spir Interaction Sequence at the C-terminal End of Formin Subgroup Proteins. Journal of Biological Chemistry. 284(37). 25324–25333. 50 indexed citations
5.
Thoms, Sven, André Halbach, Markos Pechlivanis, et al.. (2009). Farnesylation of Pex19p Is Required for Its Structural Integrity and Function in Peroxisome Biogenesis. Journal of Biological Chemistry. 284(31). 20885–20896. 49 indexed citations
6.
Alexander, Michael, Markos Pechlivanis, Radovan Dvorský, et al.. (2008). Mapping the Isoprenoid Binding Pocket of PDEδ by a Semisynthetic, Photoactivatable N‐Ras Lipoprotein. ChemBioChem. 10(1). 98–108. 15 indexed citations
7.
Pechlivanis, Markos, et al.. (2007). Prenylation of Ras Facilitates hSOS1-Promoted Nucleotide Exchange, upon Ras Binding to the Regulatory Site. Biochemistry. 46(18). 5341–5348. 13 indexed citations
8.
Pechlivanis, Markos, et al.. (2006). Hydrophobic modifications of Ras proteins by isoprenoid groups and fatty acids—More than just membrane anchoring. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1764(12). 1914–1931. 67 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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