Stefano Gotta

774 total citations · 1 hit paper
9 papers, 502 citations indexed

About

Stefano Gotta is a scholar working on Molecular Biology, Spectroscopy and Cellular and Molecular Neuroscience. According to data from OpenAlex, Stefano Gotta has authored 9 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Spectroscopy and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Stefano Gotta's work include Advanced Proteomics Techniques and Applications (4 papers), Mass Spectrometry Techniques and Applications (4 papers) and Glycosylation and Glycoproteins Research (2 papers). Stefano Gotta is often cited by papers focused on Advanced Proteomics Techniques and Applications (4 papers), Mass Spectrometry Techniques and Applications (4 papers) and Glycosylation and Glycoproteins Research (2 papers). Stefano Gotta collaborates with scholars based in Italy, Netherlands and Germany. Stefano Gotta's co-authors include Georg C. Terstappen, Roberto Raggiaschi, Olivia Clayton, Yannick Schrooders, Florian Caiment, Ralf Herwig, Ralph Schlapbach, Joep Geraedts, Hans Gmuender and Matthias Lienhard and has published in prestigious journals such as Circulation Research, Scientific Reports and BMC Bioinformatics.

In The Last Decade

Stefano Gotta

9 papers receiving 491 citations

Hit Papers

DMSO induces drastic changes in human cellular processes ... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefano Gotta Italy 7 240 82 55 54 46 9 502
Peter T. Gomme Australia 9 292 1.2× 58 0.7× 46 0.8× 31 0.6× 33 0.7× 15 745
Aiko Hasegawa Japan 11 291 1.2× 129 1.6× 31 0.6× 42 0.8× 19 0.4× 18 920
Ivan Grishagin United States 11 348 1.4× 91 1.1× 19 0.3× 32 0.6× 29 0.6× 16 808
Rebecca A. Bozym United States 9 281 1.2× 69 0.8× 17 0.3× 116 2.1× 22 0.5× 11 700
Richmond Muimo United Kingdom 16 455 1.9× 49 0.6× 14 0.3× 63 1.2× 36 0.8× 30 639
John F. Woolley United Kingdom 14 421 1.8× 162 2.0× 38 0.7× 33 0.6× 28 0.6× 25 861
Olga Zabirnyk United States 9 503 2.1× 54 0.7× 40 0.7× 13 0.2× 45 1.0× 9 1.0k
Waleska K. Martins Brazil 20 446 1.9× 76 0.9× 21 0.4× 21 0.4× 44 1.0× 37 1.1k
Teresa Banaś Poland 15 280 1.2× 134 1.6× 47 0.9× 15 0.3× 67 1.5× 35 701
Göran Ocklind Sweden 10 219 0.9× 111 1.4× 24 0.4× 26 0.5× 42 0.9× 20 677

Countries citing papers authored by Stefano Gotta

Since Specialization
Citations

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

Fields of papers citing papers by Stefano Gotta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Gotta

This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Gotta. A scholar is included among the top collaborators of Stefano Gotta 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 Stefano Gotta. Stefano Gotta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Verheijen, Marcha, Matthias Lienhard, Yannick Schrooders, et al.. (2019). DMSO induces drastic changes in human cellular processes and epigenetic landscape in vitro. Scientific Reports. 9(1). 4641–4641. 286 indexed citations breakdown →
2.
Salvini, Laura, et al.. (2018). Investigation on Sugar–Protein Connectivity in Salmonella O-Antigen Glycoconjugate Vaccines. Bioconjugate Chemistry. 29(5). 1736–1747. 7 indexed citations
3.
Galvagni, Federico, Ahmad Salameh, Marina Rocchigiani, et al.. (2010). Endothelial Cell Adhesion to the Extracellular Matrix Induces c-Src–Dependent VEGFR-3 Phosphorylation Without the Activation of the Receptor Intrinsic Kinase Activity. Circulation Research. 106(12). 1839–1848. 73 indexed citations
4.
Andersen, Claus A., Stefano Gotta, Letizia Magnoni, et al.. (2009). Robust MS quantification method for phospho-peptides using 18O/16O labeling. BMC Bioinformatics. 10(1). 141–141. 4 indexed citations
5.
Pollio, Giuseppe, Jeroen J.M. Hoozemans, Claus A. Andersen, et al.. (2008). Increased expression of the oligopeptidase THOP1 is a neuroprotective response to Aβ toxicity. Neurobiology of Disease. 31(1). 145–158. 34 indexed citations
6.
Bernocco, Simonetta, Silvia Matteoni, Letizia Magnoni, et al.. (2008). Sequential detergent fractionation of primary neurons for proteomics studies. PROTEOMICS. 8(5). 930–938. 18 indexed citations
7.
Matteoni, Silvia, Stefano Gotta, Letizia Magnoni, et al.. (2007). Huntington's disease: from experimental results to interaction networks, patho-pathway construction and disease hypothesis. BMC Systems Biology. 1(S1). 3 indexed citations
8.
Raggiaschi, Roberto, et al.. (2005). Detection of phosphorylation patterns in rat cortical neurons by combining phosphatase treatment and DIGE technology. PROTEOMICS. 6(3). 748–756. 26 indexed citations
9.
Raggiaschi, Roberto, Stefano Gotta, & Georg C. Terstappen. (2005). Phosphoproteome Analysis. Bioscience Reports. 25(1-2). 33–44. 51 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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