Peter Schu

4.9k total citations · 2 hit papers
52 papers, 4.1k citations indexed

About

Peter Schu is a scholar working on Cell Biology, Molecular Biology and Physiology. According to data from OpenAlex, Peter Schu has authored 52 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Cell Biology, 36 papers in Molecular Biology and 11 papers in Physiology. Recurrent topics in Peter Schu's work include Cellular transport and secretion (39 papers), Lipid Membrane Structure and Behavior (17 papers) and Calcium signaling and nucleotide metabolism (8 papers). Peter Schu is often cited by papers focused on Cellular transport and secretion (39 papers), Lipid Membrane Structure and Behavior (17 papers) and Calcium signaling and nucleotide metabolism (8 papers). Peter Schu collaborates with scholars based in Germany, United Kingdom and Italy. Peter Schu's co-authors include Scott D. Emr, Jeffrey H. Stack, Kurt Von Figura, Paul Säftig, Michael Fry, Michael D. Waterfield, Kaoru Takegawa, Winfried Rommerskirch, Ernst B. Hunziker and Jörg Detlev Moritz and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Peter Schu

52 papers receiving 4.0k citations

Hit Papers

Phosphatidylinositol 3-Ki... 1993 2026 2004 2015 1993 1998 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Peter Schu 2.7k 2.2k 540 521 424 52 4.1k
Rafael García‐Mata 3.3k 1.2× 2.6k 1.2× 417 0.8× 290 0.6× 476 1.1× 69 5.0k
Ingrid Jordens 2.2k 0.8× 1.6k 0.7× 310 0.6× 287 0.6× 571 1.3× 27 3.7k
Stefan Höning 3.0k 1.1× 2.6k 1.2× 734 1.4× 396 0.8× 199 0.5× 66 4.8k
Greg Odorizzi 3.5k 1.3× 3.4k 1.6× 741 1.4× 656 1.3× 198 0.5× 47 5.2k
Charles Yeaman 3.1k 1.1× 2.4k 1.1× 427 0.8× 301 0.6× 297 0.7× 41 4.6k
Laurel Thomas 2.4k 0.9× 1.6k 0.7× 353 0.7× 594 1.1× 385 0.9× 41 4.2k
Steve Caplan 3.6k 1.3× 3.2k 1.5× 780 1.4× 343 0.7× 283 0.7× 100 5.6k
Kiyotaka Hatsuzawa 1.9k 0.7× 1.4k 0.6× 264 0.5× 315 0.6× 366 0.9× 59 3.2k
Naava Naslavsky 2.8k 1.0× 2.3k 1.1× 648 1.2× 236 0.5× 185 0.4× 76 3.9k
Mary W. McCaffrey 1.8k 0.7× 2.1k 1.0× 452 0.8× 205 0.4× 198 0.5× 55 3.0k

Countries citing papers authored by Peter Schu

Since Specialization
Citations

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

Fields of papers citing papers by Peter Schu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Schu

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Schu. A scholar is included among the top collaborators of Peter Schu 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 Peter Schu. Peter Schu 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.
Facchinello, Nicola, Natascia Tiso, Cosetta Ravelli, et al.. (2023). Deficiency of AP1 Complex Ap1g1 in Zebrafish Model Led to Perturbation of Neurodevelopment, Female and Male Fertility; New Insight to Understand Adaptinopathies. International Journal of Molecular Sciences. 24(8). 7108–7108. 3 indexed citations
2.
Brlić, Paola Kučan, et al.. (2021). Viral Interactions with Adaptor-Protein Complexes: A Ubiquitous Trait among Viral Species. International Journal of Molecular Sciences. 22(10). 5274–5274. 11 indexed citations
3.
Schu, Peter, et al.. (2021). Synaptic AP2 CCV life cycle regulation by the Eps15, ITSN1, Sgip1/AP2, synaptojanin1 interactome. Scientific Reports. 11(1). 8007–8007. 7 indexed citations
4.
Brlić, Paola Kučan, Ilija Brizić, Berislav Lisnić, et al.. (2020). Cytomegalovirus protein m154 perturbs the adaptor protein-1 compartment mediating broad-spectrum immune evasion. eLife. 9. 10 indexed citations
5.
Evagelidis, Alexandra, Johann Guillemot, Emilia Sikorska, et al.. (2020). The motif EXEXXXL in the cytosolic tail of the secretory human proprotein convertase PC7 regulates its trafficking and cleavage activity. Journal of Biological Chemistry. 295(7). 2068–2083. 6 indexed citations
6.
Schmidt, Bernhard, et al.. (2017). Differential regulation of synaptic AP-2/clathrin vesicle uncoating in synaptic plasticity. Scientific Reports. 7(1). 15781–15781. 8 indexed citations
7.
Dib, Karim, Irina G. Tikhonova, Aleksandar Ívetic, & Peter Schu. (2017). The cytoplasmic tail of L-selectin interacts with the adaptor-protein complex AP-1 subunit μ1A via a novel basic binding motif. Journal of Biological Chemistry. 292(16). 6703–6714. 9 indexed citations
8.
Jung, Sangyong, Tanja Maritzen, Carolin Wichmann, et al.. (2015). Disruption of adaptor protein 2μ ( AP ‐2μ) in cochlear hair cells impairs vesicle reloading of synaptic release sites and hearing. The EMBO Journal. 34(21). 2686–2702. 75 indexed citations
9.
Schmidt, Bernhard, et al.. (2014). AP-1/σ1B-Dependent SV Protein Recycling Is Regulated in Early Endosomes and Is Coupled to AP-2 Endocytosis. Molecular Neurobiology. 52(1). 142–161. 14 indexed citations
10.
Schu, Peter. (2008). Chapter 6 Aminopeptidase I Enzymatic Activity. Methods in enzymology on CD-ROM/Methods in enzymology. 451. 67–78. 7 indexed citations
11.
Camus, Grégory, Carolina Segura-Morales, Dorothée Molle, et al.. (2007). The Clathrin Adaptor Complex AP-1 Binds HIV-1 and MLV Gag and Facilitates Their Budding. Molecular Biology of the Cell. 18(8). 3193–3203. 85 indexed citations
12.
Medigeshi, Guruprasad R., Maria Krikunova, Karthikeyan Radhakrishnan, et al.. (2007). AP‐1 Membrane–Cytoplasm Recycling Regulated by μ1A‐Adaptin. Traffic. 9(1). 121–132. 13 indexed citations
13.
Medigeshi, Guruprasad R. & Peter Schu. (2003). Characterization of the in Vitro Retrograde Transport of MPR46. Traffic. 4(11). 802–811. 39 indexed citations
14.
Schu, Peter. (2001). Vesicular protein transport. The Pharmacogenomics Journal. 1(4). 262–271. 5 indexed citations
15.
Yerramalla, Udaya, Siva Kumar Nadimpalli, Peter Schu, Kurt Von Figura, & Annette Hille‐Rehfeld. (2000). Conserved cassette structure of vertebrate Mr 300 kDa mannose 6-phosphate receptors: partial cDNA sequence of fish MPR 300. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 127(4). 433–441. 17 indexed citations
16.
Horst, Martin, et al.. (1999). Import into and Degradation of Cytosolic Proteins by Isolated Yeast Vacuoles. Molecular Biology of the Cell. 10(9). 2879–2889. 30 indexed citations
17.
Zizioli, Daniela, et al.. (1999). Early Embryonic Death of Mice Deficient in γ-Adaptin. Journal of Biological Chemistry. 274(9). 5385–5390. 114 indexed citations
19.
Schu, Peter, et al.. (1991). The proteinase yscB inhibitor (PBI2) gene of yeast and studies on the function of its protein product. European Journal of Biochemistry. 197(1). 1–7. 22 indexed citations
20.
Schu, Peter & Dieter H. Wolf. (1991). The proteinase yscA‐inhibitor, IA3, gene Studies of cytoplasmic proteinase inhibitor deficiency on yeast physiology. FEBS Letters. 283(1). 78–84. 11 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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