Giuseppina Maccarrone

3.1k total citations
63 papers, 2.3k citations indexed

About

Giuseppina Maccarrone is a scholar working on Molecular Biology, Spectroscopy and Biological Psychiatry. According to data from OpenAlex, Giuseppina Maccarrone has authored 63 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 26 papers in Spectroscopy and 18 papers in Biological Psychiatry. Recurrent topics in Giuseppina Maccarrone's work include Advanced Proteomics Techniques and Applications (24 papers), Tryptophan and brain disorders (18 papers) and Metabolomics and Mass Spectrometry Studies (17 papers). Giuseppina Maccarrone is often cited by papers focused on Advanced Proteomics Techniques and Applications (24 papers), Tryptophan and brain disorders (18 papers) and Metabolomics and Mass Spectrometry Studies (17 papers). Giuseppina Maccarrone collaborates with scholars based in Germany, United States and Brazil. Giuseppina Maccarrone's co-authors include Christoph W. Turck, Daniel Martins‐de‐Souza, Andrea Schmitt, Emmanuel Dias‐Neto, Stefan Reckow, Wagner F. Gattaz, Michaela D. Filiou, Christiane Rewerts, Philipp Gormanns and Larysa Teplytska and has published in prestigious journals such as Nature Communications, The Journal of Cell Biology and Nature Neuroscience.

In The Last Decade

Giuseppina Maccarrone

62 papers receiving 2.2k citations

Peers

Giuseppina Maccarrone
Sudhakaran Prabakaran United Kingdom
Michaela D. Filiou Germany
Laura W. Harris United Kingdom
Sabine Bahn United Kingdom
Jane E. SWATTON United Kingdom
Chunling Wan China
Željka Korade United States
Gayathri Swaminath United States
Kanagasabai Panchalingam United States
Tsz M. Tsang United Kingdom
Sudhakaran Prabakaran United Kingdom
Giuseppina Maccarrone
Citations per year, relative to Giuseppina Maccarrone Giuseppina Maccarrone (= 1×) peers Sudhakaran Prabakaran

Countries citing papers authored by Giuseppina Maccarrone

Since Specialization
Citations

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

Fields of papers citing papers by Giuseppina Maccarrone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giuseppina Maccarrone

This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppina Maccarrone. A scholar is included among the top collaborators of Giuseppina Maccarrone 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 Giuseppina Maccarrone. Giuseppina Maccarrone 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.
Manconi, Barbara, Alessandra Olianas, Federica Iavarone, et al.. (2023). Characterization of Cystatin B Interactome in Saliva from Healthy Elderly and Alzheimer’s Disease Patients. Life. 13(3). 748–748. 5 indexed citations
2.
Maccarrone, Giuseppina, Alon Chen, & Michaela D. Filiou. (2016). Using 15N-Metabolic Labeling for Quantitative Proteomic Analyses. Methods in molecular biology. 1546. 235–243. 5 indexed citations
3.
Maccarrone, Giuseppina, Sandra Nischwitz, Sören‐Oliver Deininger, et al.. (2016). MALDI imaging mass spectrometry analysis—A new approach for protein mapping in multiple sclerosis brain lesions. Journal of Chromatography B. 1047. 131–140. 29 indexed citations
4.
Filiou, Michaela D., et al.. (2015). Variability assessment of 15N metabolic labeling-based proteomics workflow in mouse plasma and brain. Molecular BioSystems. 11(6). 1536–1542. 3 indexed citations
5.
Vogl, Annette M., Marisa M. Brockmann, Sebastián A. Giusti, et al.. (2015). Neddylation inhibition impairs spine development, destabilizes synapses and deteriorates cognition. Nature Neuroscience. 18(2). 239–251. 74 indexed citations
6.
Maccarrone, Giuseppina & Michaela D. Filiou. (2015). Protein Profiling and Phosphoprotein Analysis by Isoelectric Focusing. Methods in molecular biology. 1295. 293–303. 2 indexed citations
7.
Maccarrone, Giuseppina, et al.. (2014). Brain Quantitative Proteomics Combining GeLC-MS and Isotope-Coded Protein Labeling (ICPL). Methods in molecular biology. 1156. 175–185. 9 indexed citations
8.
Maccarrone, Giuseppina, Claudia Ditzen, Alexander Yassouridis, et al.. (2013). Psychiatric patient stratification using biosignatures based on cerebrospinal fluid protein expression clusters. Journal of Psychiatric Research. 47(11). 1572–1580. 50 indexed citations
9.
Webhofer, Christian, Philipp Gormanns, Stefan Reckow, et al.. (2012). Proteomic and metabolomic profiling reveals time-dependent changes in hippocampal metabolism upon paroxetine treatment and biomarker candidates. Journal of Psychiatric Research. 47(3). 289–298. 38 indexed citations
10.
Webhofer, Christian, Yaoyang Zhang, Stefan Reckow, et al.. (2012). 15N metabolic labeling: Evidence for a stable isotope effect on plasma protein levels and peptide chromatographic retention times. Journal of Proteomics. 88. 27–33. 9 indexed citations
11.
Ditzen, Claudia, Ning Tang, Larysa Teplytska, et al.. (2011). Cerebrospinal Fluid Biomarkers for Major Depression Confirm Relevance of Associated Pathophysiology. Neuropsychopharmacology. 37(4). 1013–1025. 77 indexed citations
12.
Balluff, Benjamin, Sandra Rauser, Stephan Meding, et al.. (2011). MALDI Imaging Identifies Prognostic Seven-Protein Signature of Novel Tissue Markers in Intestinal-Type Gastric Cancer. American Journal Of Pathology. 179(6). 2720–2729. 119 indexed citations
13.
Zhang, Yaoyang, Michaela D. Filiou, Stefan Reckow, et al.. (2011). Proteomic and Metabolomic Profiling of a Trait Anxiety Mouse Model Implicate Affected Pathways. Molecular & Cellular Proteomics. 10(12). M111.008110–M111.008110. 72 indexed citations
14.
Hambsch, Boris, Mélanie Meyer, Charilaos Avrabos, et al.. (2010). Methylglyoxal‐mediated anxiolysis involves increased protein modification and elevated expression of glyoxalase 1 in the brain. Journal of Neurochemistry. 113(5). 1240–1251. 51 indexed citations
15.
Zhang, Yaoyang, Christian Webhofer, Stefan Reckow, et al.. (2009). A MS data search method for improved 15N‐labeled protein identification. PROTEOMICS. 9(17). 4265–4270. 19 indexed citations
16.
Frank, Elisabeth, Melanie Keßler, Michaela D. Filiou, et al.. (2009). Stable Isotope Metabolic Labeling with a Novel 15N-Enriched Bacteria Diet for Improved Proteomic Analyses of Mouse Models for Psychopathologies. PLoS ONE. 4(11). e7821–e7821. 88 indexed citations
17.
Martins‐de‐Souza, Daniel, Wagner F. Gattaz, Andrea Schmitt, et al.. (2008). Proteome analysis of human dorsolateral prefrontal cortex using shotgun mass spectrometry. Journal of Separation Science. 31(16-17). 3122–3126. 11 indexed citations
18.
Martins‐de‐Souza, Daniel, Wagner F. Gattaz, Andrea Schmitt, et al.. (2008). Proteomic analysis of dorsolateral prefrontal cortex indicates the involvement of cytoskeleton, oligodendrocyte, energy metabolism and new potential markers in schizophrenia. Journal of Psychiatric Research. 43(11). 978–986. 149 indexed citations
19.
Mueller, Nikola S., et al.. (2007). Interrogation of MS/MS search data with an pI Filter algorithm to increase protein identification success. Electrophoresis. 28(12). 1867–1874. 10 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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