Markus Islinger

3.9k total citations
56 papers, 3.0k citations indexed

About

Markus Islinger is a scholar working on Molecular Biology, Physiology and Cancer Research. According to data from OpenAlex, Markus Islinger has authored 56 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 11 papers in Physiology and 9 papers in Cancer Research. Recurrent topics in Markus Islinger's work include Peroxisome Proliferator-Activated Receptors (40 papers), Adipose Tissue and Metabolism (11 papers) and Cancer, Hypoxia, and Metabolism (9 papers). Markus Islinger is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (40 papers), Adipose Tissue and Metabolism (11 papers) and Cancer, Hypoxia, and Metabolism (9 papers). Markus Islinger collaborates with scholars based in Germany, United Kingdom and Portugal. Markus Islinger's co-authors include Michael Schrader, Joseph L. Costello, Alfred Völkl, H. Dariush Fahimi, Luís F. Godinho, Nina A. Bonekamp, Ka Wan Li, Thomas Braunbeck, Inês Gomes Castro and Tina A. Schrader and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and PLoS ONE.

In The Last Decade

Markus Islinger

56 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Markus Islinger Germany 30 2.2k 462 368 318 297 56 3.0k
Federica Poletti Italy 12 1.9k 0.9× 311 0.7× 411 1.1× 480 1.5× 237 0.8× 12 2.8k
Massimo Micaroni Italy 20 2.5k 1.1× 365 0.8× 253 0.7× 699 2.2× 274 0.9× 27 3.3k
Jan Riemer Germany 39 3.4k 1.5× 301 0.7× 380 1.0× 970 3.1× 173 0.6× 85 4.5k
Tobias B. Dansen Netherlands 31 3.1k 1.4× 569 1.2× 344 0.9× 324 1.0× 584 2.0× 50 4.1k
Vishal M. Gohil United States 29 3.1k 1.4× 454 1.0× 277 0.8× 328 1.0× 231 0.8× 52 3.9k
Héctor Sandoval United States 20 1.6k 0.8× 499 1.1× 995 2.7× 490 1.5× 154 0.5× 29 2.9k
Laura D. Osellame Australia 17 2.3k 1.0× 729 1.6× 550 1.5× 337 1.1× 199 0.7× 30 3.1k
Angela Messina Italy 34 2.7k 1.2× 814 1.8× 241 0.7× 358 1.1× 194 0.7× 84 3.8k
Jessica B. Spinelli United States 18 1.9k 0.9× 653 1.4× 433 1.2× 201 0.6× 680 2.3× 30 3.1k
Michela Rugolo Italy 35 3.3k 1.5× 401 0.9× 195 0.5× 248 0.8× 541 1.8× 98 4.0k

Countries citing papers authored by Markus Islinger

Since Specialization
Citations

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

Fields of papers citing papers by Markus Islinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Islinger

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Islinger. A scholar is included among the top collaborators of Markus Islinger 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 Markus Islinger. Markus Islinger 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
1.
Dawes, Martin, et al.. (2025). The neurological pathology of peroxisomal ACBD5 deficiency – lessons from patients and mouse models. Frontiers in Molecular Neuroscience. 18. 1602343–1602343. 2 indexed citations
2.
3.
Islinger, Markus, et al.. (2023). Isolation of Mammalian Peroxisomes by Density Gradient Centrifugation. Methods in molecular biology. 2643. 1–12. 4 indexed citations
4.
Bloks, Vincent W., Dicky Struik, Nicolette Huijkman, et al.. (2022). Mice with a deficiency in Peroxisomal Membrane Protein 4 (PXMP4) display mild changes in hepatic lipid metabolism. Scientific Reports. 12(1). 2512–2512. 8 indexed citations
5.
Islinger, Markus, Joseph L. Costello, Eric Soupène, et al.. (2020). The diversity of ACBD proteins – From lipid binding to protein modulators and organelle tethers. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1867(5). 118675–118675. 35 indexed citations
6.
Passmore, Josiah B., Ruth E. Carmichael, Tina A. Schrader, et al.. (2020). Mitochondrial fission factor (MFF) is a critical regulator of peroxisome maturation. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1867(7). 118709–118709. 30 indexed citations
7.
Costello, Joseph L., Inês Gomes Castro, Tina A. Schrader, et al.. (2017). Predicting the targeting of tail-anchored proteins to subcellular compartments in mammalian cells. Journal of Cell Science. 130(9). 1675–1687. 86 indexed citations
8.
Costello, Joseph L., Inês Gomes Castro, Tina A. Schrader, Markus Islinger, & Michael Schrader. (2017). Peroxisomal ACBD4 interacts with VAPB and promotes ER-peroxisome associations. Cell Cycle. 16(11). 1039–1045. 66 indexed citations
9.
Costello, Joseph L., Inês Gomes Castro, Christian Hacker, et al.. (2017). ACBD5 and VAPB mediate membrane associations between peroxisomes and the ER. The Journal of Cell Biology. 216(2). 331–342. 196 indexed citations
10.
Magalhães, Ana C., Ana Ferreira, Marta Vieira, et al.. (2016). Peroxisomes are platforms for cytomegalovirus’ evasion from the cellular immune response. Scientific Reports. 6(1). 26028–26028. 44 indexed citations
11.
Schrader, Michael, et al.. (2015). Proliferation and fission of peroxisomes — An update. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1863(5). 971–983. 111 indexed citations
12.
Islinger, Markus, S. Guimarães, Sreedhar Kilaru, et al.. (2014). New insights into the peroxisomal protein inventory: Acyl-CoA oxidases and -dehydrogenases are an ancient feature of peroxisomes. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1853(1). 111–125. 56 indexed citations
13.
Ahmed, Saheeb, Nina Wittenmayer, Thomas Kremer, et al.. (2013). Mover Is a Homomeric Phospho-Protein Present on Synaptic Vesicles. PLoS ONE. 8(5). e63474–e63474. 16 indexed citations
14.
Bonekamp, Nina A., Markus Islinger, María Gómez-Lázaro, & Michael Schrader. (2012). Cytochemical Detection of Peroxisomes and Mitochondria. Methods in molecular biology. 931. 467–482. 16 indexed citations
15.
Islinger, Markus & Michael Schrader. (2011). Peroxisomes. Current Biology. 21(19). R800–R801. 7 indexed citations
16.
Islinger, Markus, Christoph Eckerskorn, & Alfred Völkl. (2010). Free‐flow electrophoresis in the proteomic era: A technique in flux. Electrophoresis. 31(11). 1754–1763. 54 indexed citations
17.
Islinger, Markus, et al.. (2010). Be different—The diversity of peroxisomes in the animal kingdom. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1803(8). 881–897. 94 indexed citations
18.
Islinger, Markus, Ka Wan Li, Juergen Seitz, Alfred Völkl, & Georg H. Lüers. (2009). Hitchhiking of Cu/Zn Superoxide Dismutase to Peroxisomes – Evidence for a Natural Piggyback Import Mechanism in Mammals. Traffic. 10(11). 1711–1721. 111 indexed citations
19.
Islinger, Markus, Georg H. Lüers, Hans Zischka, Marius Ueffing, & Alfred Völkl. (2005). Insights into the membrane proteome of rat liver peroxisomes: Microsomal glutathione‐S‐transferase is shared by both subcellular compartments. PROTEOMICS. 6(3). 804–816. 62 indexed citations
20.

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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