Per Haberkant

2.8k total citations · 1 hit paper
37 papers, 2.0k citations indexed

About

Per Haberkant is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Per Haberkant has authored 37 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 11 papers in Cell Biology and 8 papers in Physiology. Recurrent topics in Per Haberkant's work include Lipid Membrane Structure and Behavior (12 papers), Sphingolipid Metabolism and Signaling (8 papers) and Lysosomal Storage Disorders Research (5 papers). Per Haberkant is often cited by papers focused on Lipid Membrane Structure and Behavior (12 papers), Sphingolipid Metabolism and Signaling (8 papers) and Lysosomal Storage Disorders Research (5 papers). Per Haberkant collaborates with scholars based in Germany, United Kingdom and United States. Per Haberkant's co-authors include Britta Brügger, Felix Wieland, Bärbel Glass, Hans‐Georg Kräusslich, Frank Stein, Carsten Schultz, Joost C. M. Holthuis, Doris Höglinger, Christoph Thiele and F.‐Xabier Contreras and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Per Haberkant

35 papers receiving 2.0k citations

Hit Papers

The HIV lipidome: A raft with an unusual composition 2006 2026 2012 2019 2006 100 200 300 400 500

Peers

Per Haberkant
Jan Willem Thuring United States
Brenda Temple United States
Katherine Bowers United Kingdom
Karin Klappe Netherlands
Vibor Laketa Germany
Ray Truant Canada
Laurie Betts United States
Jan Willem Thuring United States
Per Haberkant
Citations per year, relative to Per Haberkant Per Haberkant (= 1×) peers Jan Willem Thuring

Countries citing papers authored by Per Haberkant

Since Specialization
Citations

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

Fields of papers citing papers by Per Haberkant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Per Haberkant

This figure shows the co-authorship network connecting the top 25 collaborators of Per Haberkant. A scholar is included among the top collaborators of Per Haberkant 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 Per Haberkant. Per Haberkant 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.
Malsburg, Karina von der, Peter Walentek, Per Haberkant, et al.. (2025). An enzymatic cascade enables sensitive and specific proximity labeling proteomics in challenging biological systems. Nature Communications. 16(1). 9691–9691.
2.
Reinhard, John F., Christian Klose, Per Haberkant, et al.. (2024). MemPrep, a new technology for isolating organellar membranes provides fingerprints of lipid bilayer stress. The EMBO Journal. 43(8). 1653–1685. 12 indexed citations
3.
Mueller, Rainer, et al.. (2024). Trifunctional lipid derivatives: PE's mitochondrial interactome. Chemical Communications. 61(12). 2564–2567.
4.
Stein, Frank, et al.. (2024). Trifunctional fatty acid derivatives: the impact of diazirine placement. Chemical Communications. 60(52). 6651–6654. 4 indexed citations
5.
Börger, Verena, Robin Dittrich, Michel Bremer, et al.. (2023). Independent human mesenchymal stromal cell–derived extracellular vesicle preparations differentially attenuate symptoms in an advanced murine graft-versus-host disease model. Cytotherapy. 25(8). 821–836. 27 indexed citations
6.
Groh, Carina, Per Haberkant, Frank Stein, et al.. (2023). Mitochondrial dysfunction rapidly modulates the abundance and thermal stability of cellular proteins. Life Science Alliance. 6(6). e202201805–e202201805. 9 indexed citations
7.
Cherubini, Marta, et al.. (2023). Flow in fetoplacental-like microvessels in vitro enhances perfusion, barrier function, and matrix stability. Science Advances. 9(51). eadj8540–eadj8540. 20 indexed citations
8.
Kallergi, Emmanouela, Valentina Mercaldo, Per Haberkant, et al.. (2022). Dendritic autophagy degrades postsynaptic proteins and is required for long-term synaptic depression in mice. Nature Communications. 13(1). 680–680. 61 indexed citations
9.
Karkampouna, Sofia, Maria De Filippo, Charlotte K.Y. Ng, et al.. (2020). Stroma Transcriptomic and Proteomic Profile of Prostate Cancer Metastasis Xenograft Models Reveals Prognostic Value of Stroma Signatures. Cancers. 12(12). 3786–3786. 13 indexed citations
10.
Perner, Jan, et al.. (2020). The Central Role of Salivary Metalloproteases in Host Acquired Resistance to Tick Feeding. Frontiers in Cellular and Infection Microbiology. 10. 563349–563349. 12 indexed citations
11.
Haberkant, Per, Meenakshi Bhardwaj, María Pía Ferraz, et al.. (2019). Cytosolic glucosylceramide regulates endolysosomal function in Niemann-Pick type C disease. Neurobiology of Disease. 127. 242–252. 22 indexed citations
12.
Boos, Felix, Lena Krämer, Carina Groh, et al.. (2019). Mitochondrial protein-induced stress triggers a global adaptive transcriptional programme. Nature Cell Biology. 21(4). 442–451. 138 indexed citations
13.
Behrendt, Annika, et al.. (2019). Asparagine endopeptidase cleaves tau at N167 after uptake into microglia. Neurobiology of Disease. 130. 104518–104518. 22 indexed citations
14.
Tippel, Franziska, Abraham López, Katarzyna Tych, et al.. (2019). The Hsp90 isoforms from S. cerevisiae differ in structure, function and client range. Nature Communications. 10(1). 3626–3626. 46 indexed citations
15.
Bockelmann, Svenja, John G. Mina, Sergei M. Korneev, et al.. (2018). A search for ceramide binding proteins using bifunctional lipid analogs yields CERT-related protein StarD7. Journal of Lipid Research. 59(3). 515–530. 42 indexed citations
16.
Körschen, Heinz G., Anke Penno, Andreas Rennhack, et al.. (2017). Identification of a feedback loop involving β-glucosidase 2 and its product sphingosine sheds light on the molecular mechanisms in Gaucher disease. Journal of Biological Chemistry. 292(15). 6177–6189. 18 indexed citations
17.
Haberkant, Per & Joost C. M. Holthuis. (2014). Fat & fabulous: Bifunctional lipids in the spotlight. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1841(8). 1022–1030. 55 indexed citations
18.
Haberkant, Per, Reinout Raijmakers, Marjolein Wildwater, et al.. (2013). In Vivo Profiling and Visualization of Cellular Protein–Lipid Interactions Using Bifunctional Fatty Acids. Angewandte Chemie International Edition. 52(14). 4033–4038. 114 indexed citations
19.
Haberkant, Per, F.‐Xabier Contreras, Christoph Thiele, et al.. (2007). Protein-sphingolipid interactions within cellular membranes. Journal of Lipid Research. 49(1). 251–262. 54 indexed citations
20.
Brügger, Britta, et al.. (2006). The HIV lipidome: A raft with an unusual composition. Proceedings of the National Academy of Sciences. 103(8). 2641–2646. 556 indexed citations breakdown →

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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