Marko Brankatschk

1.9k total citations
27 papers, 1.3k citations indexed

About

Marko Brankatschk is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cell Biology. According to data from OpenAlex, Marko Brankatschk has authored 27 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cellular and Molecular Neuroscience, 13 papers in Molecular Biology and 9 papers in Cell Biology. Recurrent topics in Marko Brankatschk's work include Neurobiology and Insect Physiology Research (13 papers), Invertebrate Immune Response Mechanisms (5 papers) and Cellular transport and secretion (5 papers). Marko Brankatschk is often cited by papers focused on Neurobiology and Insect Physiology Research (13 papers), Invertebrate Immune Response Mechanisms (5 papers) and Cellular transport and secretion (5 papers). Marko Brankatschk collaborates with scholars based in Germany, Austria and United Kingdom. Marko Brankatschk's co-authors include Suzanne Eaton, Barry J. Dickson, Andrej Shevchenko, Maria Carvalho, Júlio L. Sampaio, Wilhelm Palm, Sebastian Dunst, Andreas Sagner, Linda Nemetschke and Elodie Prince and has published in prestigious journals such as Cell, Nature Communications and Journal of Neuroscience.

In The Last Decade

Marko Brankatschk

25 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marko Brankatschk Germany 16 650 615 395 195 148 27 1.3k
Akhila Rajan United States 11 638 1.0× 513 0.8× 264 0.7× 265 1.4× 125 0.8× 20 1.2k
Sonja Fellert Germany 8 665 1.0× 594 1.0× 206 0.5× 176 0.9× 174 1.2× 8 1.3k
Rénald Delanoue France 14 490 0.8× 638 1.0× 213 0.5× 305 1.6× 176 1.2× 18 1.2k
Laurent Perrin France 21 663 1.0× 498 0.8× 148 0.4× 276 1.4× 158 1.1× 42 1.3k
Kuchuan Chen United States 10 668 1.0× 417 0.7× 250 0.6× 90 0.5× 75 0.5× 10 1.1k
Nansi Jo Colley United States 21 1.6k 2.5× 1.1k 1.8× 514 1.3× 251 1.3× 66 0.4× 36 2.3k
Amy E. Sheehan United States 17 1.1k 1.7× 725 1.2× 312 0.8× 390 2.0× 52 0.4× 21 2.0k
Juan R. Riesgo‐Escovar Mexico 24 1.5k 2.2× 867 1.4× 510 1.3× 383 2.0× 346 2.3× 48 2.5k
Hwei‐Jan Hsu Taiwan 23 831 1.3× 345 0.6× 224 0.6× 261 1.3× 67 0.5× 46 1.6k
Venkateswara R. Chintapalli United Kingdom 9 861 1.3× 618 1.0× 113 0.3× 277 1.4× 284 1.9× 11 1.6k

Countries citing papers authored by Marko Brankatschk

Since Specialization
Citations

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

Fields of papers citing papers by Marko Brankatschk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marko Brankatschk

This figure shows the co-authorship network connecting the top 25 collaborators of Marko Brankatschk. A scholar is included among the top collaborators of Marko Brankatschk 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 Marko Brankatschk. Marko Brankatschk 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.
Roşca, Elena Cecilia, Thomas J. Gill, Stephen J. Simpson, et al.. (2025). Mating-dependent lifespan cost of sterol depletion in male Drosophila melanogaster.
2.
Sandoval‐Guzmán, Tatiana, et al.. (2024). Systemic and local lipid adaptations underlie regeneration in Drosophila melanogaster and Ambystoma mexicanum. npj Regenerative Medicine. 9(1). 33–33.
3.
Straßburger, Katrin, et al.. (2023). Glycolytically impaired Drosophila glial cells fuel neural metabolism via β-oxidation. Nature Communications. 14(1). 2996–2996. 25 indexed citations
4.
Brankatschk, Marko, et al.. (2022). In Vivo Analysis of Pathways Regulating Epithelial Polarity and Secretion Using Drosophila Salivary Glands. Methods in molecular biology. 2438. 323–344. 1 indexed citations
5.
Prince, Elodie, et al.. (2021). DIlp7-Producing Neurons Regulate Insulin-Producing Cells in Drosophila. Frontiers in Physiology. 12. 630390–630390. 5 indexed citations
6.
Knittelfelder, Oskar, Elodie Prince, Susanne Sales, et al.. (2020). Sterols as dietary markers for Drosophila melanogaster. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1865(7). 158683–158683. 17 indexed citations
7.
Knittelfelder, Oskar, et al.. (2020). How to use the development of individual Drosophila larvae as a metabolic sensor. Journal of Insect Physiology. 126. 104095–104095. 2 indexed citations
8.
Prince, Elodie, et al.. (2019). Selective Phosphorylation of Akt/Protein-Kinase B Isoforms in Response to Dietary Cues. Frontiers in Cell and Developmental Biology. 7. 206–206. 6 indexed citations
9.
Knust, Elisabeth, et al.. (2019). Crumbs organizes the transport machinery by regulating apical levels of PI(4,5)P2 in Drosophila. eLife. 8. 15 indexed citations
10.
Prince, Elodie, Clive Wilson, Suzanne Eaton, et al.. (2018). Rab‐mediated trafficking in the secondary cells of Drosophila male accessory glands and its role in fecundity. Traffic. 20(2). 137–151. 12 indexed citations
11.
Brankatschk, Marko, Theresia Gutmann, Oskar Knittelfelder, et al.. (2018). A Temperature-Dependent Switch in Feeding Preference Improves Drosophila Development and Survival in the Cold. Developmental Cell. 46(6). 781–793.e4. 60 indexed citations
12.
Caviglia, Sara, et al.. (2016). Staccato/Unc-13-4 controls secretory lysosome-mediated lumen fusion during epithelial tube anastomosis. Nature Cell Biology. 18(7). 727–739. 30 indexed citations
13.
Dunst, Sebastian, Tom Kazimiers, Helena Jambor, et al.. (2015). Endogenously Tagged Rab Proteins: A Resource to Study Membrane Trafficking in Drosophila. Developmental Cell. 33(3). 351–365. 114 indexed citations
14.
Sagner, Andreas, Matthias Merkel, Benoît Aigouy, et al.. (2012). Establishment of Global Patterns of Planar Polarity during Growth of the Drosophila Wing Epithelium. Current Biology. 22(14). 1296–1301. 85 indexed citations
15.
Palm, Wilhelm, Júlio L. Sampaio, Marko Brankatschk, et al.. (2012). Lipoproteins in Drosophila melanogaster—Assembly, Function, and Influence on Tissue Lipid Composition. PLoS Genetics. 8(7). e1002828–e1002828. 200 indexed citations
16.
Carvalho, Maria, Júlio L. Sampaio, Wilhelm Palm, et al.. (2012). Effects of diet and development on the Drosophila lipidome. Molecular Systems Biology. 8(1). 600–600. 212 indexed citations
17.
Chan, Chih‐Chiang, Shane Scoggin, Dong Wang, et al.. (2011). Systematic Discovery of Rab GTPases with Synaptic Functions in Drosophila. Current Biology. 21(20). 1704–1715. 103 indexed citations
18.
Brankatschk, Marko, et al.. (2010). Distinct Protein Domains and Expression Patterns Confer Divergent Axon Guidance Functions for Drosophila Robo Receptors. Cell. 140(3). 409–420. 83 indexed citations
19.
Brankatschk, Marko & Suzanne Eaton. (2010). Lipoprotein Particles Cross the Blood–Brain Barrier inDrosophila. Journal of Neuroscience. 30(31). 10441–10447. 77 indexed citations
20.
Brankatschk, Marko & Barry J. Dickson. (2006). Netrins guide Drosophila commissural axons at short range. Nature Neuroscience. 9(2). 188–194. 120 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026