Chiara Cabrele

3.5k total citations
78 papers, 2.9k citations indexed

About

Chiara Cabrele is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Organic Chemistry. According to data from OpenAlex, Chiara Cabrele has authored 78 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Molecular Biology, 21 papers in Cellular and Molecular Neuroscience and 17 papers in Organic Chemistry. Recurrent topics in Chiara Cabrele's work include Chemical Synthesis and Analysis (27 papers), Receptor Mechanisms and Signaling (21 papers) and Neuropeptides and Animal Physiology (19 papers). Chiara Cabrele is often cited by papers focused on Chemical Synthesis and Analysis (27 papers), Receptor Mechanisms and Signaling (21 papers) and Neuropeptides and Animal Physiology (19 papers). Chiara Cabrele collaborates with scholars based in Germany, Austria and Switzerland. Chiara Cabrele's co-authors include Oliver Reiser, Annette G. Beck‐Sickinger, Łukasz Berlicki, Tamás A. Martinek, Hermann Weingärtner, Christian Herrmann, Michael Langer, H. Wieland, Christian Bubert and Hans Brandstetter and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Chiara Cabrele

76 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chiara Cabrele Germany 28 1.8k 932 610 247 184 78 2.9k
Tomohiko Ohwada Japan 40 1.7k 1.0× 2.9k 3.1× 297 0.5× 162 0.7× 60 0.3× 198 5.0k
Anthony C. Willis Australia 36 1.1k 0.6× 2.3k 2.5× 226 0.4× 483 2.0× 27 0.1× 109 4.6k
Shiro Ikegami Japan 42 2.1k 1.2× 3.6k 3.8× 422 0.7× 174 0.7× 63 0.3× 238 5.7k
Satoshi Shuto Japan 39 3.1k 1.8× 3.1k 3.4× 238 0.4× 343 1.4× 23 0.1× 329 6.2k
William D. Lubell Canada 45 4.3k 2.4× 4.2k 4.6× 846 1.4× 529 2.1× 22 0.1× 246 7.3k
Nicholas D. P. Cosford United States 39 2.5k 1.5× 984 1.1× 1.5k 2.5× 218 0.9× 11 0.1× 112 4.8k
Makoto Wada Japan 29 862 0.5× 1.5k 1.6× 132 0.2× 187 0.8× 55 0.3× 157 3.0k
Bartosz Trzaskowski Poland 23 980 0.6× 965 1.0× 328 0.5× 101 0.4× 14 0.1× 143 2.3k
M. Teresa Lamy Brazil 29 1.4k 0.8× 514 0.6× 139 0.2× 58 0.2× 28 0.2× 105 2.6k
Zbigniew Grzonka Poland 28 1.3k 0.7× 305 0.3× 251 0.4× 200 0.8× 18 0.1× 104 2.4k

Countries citing papers authored by Chiara Cabrele

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Cabrele

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chiara Cabrele

This figure shows the co-authorship network connecting the top 25 collaborators of Chiara Cabrele. A scholar is included among the top collaborators of Chiara Cabrele 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 Chiara Cabrele. Chiara Cabrele 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.
Cabrele, Chiara, et al.. (2025). Aziridination of Olefins by a Copper Phenanthroline Catalyst. SHILAP Revista de lepidopterología. 3(6).
2.
3.
Schubert, Mario, et al.. (2023). Stereochemistry-Driven Interactions of α,γ-Peptide Ligands with the Neuropeptide Y Y4-Receptor. Journal of Medicinal Chemistry. 66(14). 9642–9657. 2 indexed citations
4.
Keller, Max, et al.. (2023). Extended Metadynamics Protocol for Binding/Unbinding Free Energies of Peptide Ligands to Class A G-Protein-Coupled Receptors. Journal of Chemical Information and Modeling. 64(1). 205–218. 8 indexed citations
5.
Moazzam, Ali, et al.. (2021). A Conformationally Stable Acyclic β‐Hairpin Scaffold Tolerating the Incorporation of Poorly β‐Sheet‐Prone Amino Acids. ChemBioChem. 23(4). e202100604–e202100604. 9 indexed citations
6.
Regl, Christof, et al.. (2021). Detecting aspartate isomerization and backbone cleavage after aspartate in intact proteins by NMR spectroscopy. Journal of Biomolecular NMR. 75(1). 71–82. 14 indexed citations
7.
Brunner, Cyrill, Matej Vizovišek, Marko Fonovič, et al.. (2020). A novel FRET peptide assay reveals efficient Helicobacter pylori HtrA inhibition through zinc and copper binding. Scientific Reports. 10(1). 10563–10563. 22 indexed citations
8.
Elsässer, Brigitta, et al.. (2018). Structural analyses of Arabidopsis thaliana legumain γ reveal differential recognition and processing of proteolysis and ligation substrates. Journal of Biological Chemistry. 293(23). 8934–8946. 34 indexed citations
9.
Elsässer, Brigitta, Mario Schubert, Nicole Maeding, et al.. (2017). Targeting of a Helix‐Loop‐Helix Transcriptional Regulator by a Short Helical Peptide. ChemMedChem. 12(18). 1497–1503. 7 indexed citations
10.
Zhang, Zhentao, Obiamaka Obianyo, Elfriede Dall, et al.. (2017). Inhibition of delta-secretase improves cognitive functions in mouse models of Alzheimer’s disease. Nature Communications. 8(1). 14740–14740. 115 indexed citations
11.
Cabrele, Chiara, et al.. (2017). Visible‐light photoredox‐catalyzed desulfurization of thiol‐ and disulfide‐containing amino acids and small peptides. Journal of Peptide Science. 23(7-8). 556–562. 30 indexed citations
12.
Berlicki, Łukasz, Ludwig K. A. Pilsl, Edit Wéber, et al.. (2012). Unique α,β‐ and α,α,β,β‐Peptide Foldamers Based on cis‐β‐Aminocyclopentanecarboxylic Acid. Angewandte Chemie International Edition. 51(9). 2208–2212. 79 indexed citations
13.
Cabrele, Chiara, et al.. (2011). Functional reconstitution of human neuropeptide Y (NPY) Y2and Y4receptors in Sf9 insect cells. Journal of Receptors and Signal Transduction. 31(4). 271–285. 10 indexed citations
14.
Weingärtner, Hermann, Chiara Cabrele, & Christian Herrmann. (2011). How ionic liquids can help to stabilize native proteins. Physical Chemistry Chemical Physics. 14(2). 415–426. 245 indexed citations
15.
Colombo, N. & Chiara Cabrele. (2006). Synthesis and conformational analysis of Id2 protein fragments: impact of chain length and point mutations on the structural HLH motif. Journal of Peptide Science. 12(8). 550–558. 11 indexed citations
16.
Svobodová, Jaroslava & Chiara Cabrele. (2006). Stepwise Solid‐Phase Synthesis and Spontaneous Homodimerization of the Helix‐Loop‐Helix Protein Id3. ChemBioChem. 7(8). 1164–1168. 8 indexed citations
17.
Cattani‐Scholz, Anna, Christian Renner, Chiara Cabrele, et al.. (2002). Photoresponsive Cyclic Bis(cysteinyl)peptides as Catalysts of Oxidative Protein Folding This work was supported by the SFB 533 of the Ludwig-Maximilians Universität München (grant A8 Moroder/Oesterhelt).. Angewandte Chemie International Edition. 41(2). 289–289. 45 indexed citations
18.
Cabrele, Chiara, H. Wieland, Michael Langer, Carsten E. Stidsen, & Annette G. Beck‐Sickinger. (2001). Y-receptor affinity modulation by the design of pancreatic polypeptide/neuropeptide Y chimera led to Y5-receptor ligands with picomolar affinity. Peptides. 22(3). 365–378. 25 indexed citations
19.
Lundell, Ingrid, et al.. (2000). Binding properties of three neuropeptide Y receptor subtypes from zebrafish: comparison with mammalian Y1 receptors. Biochemical Pharmacology. 60(12). 1815–1822. 14 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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