Sabrina Golling

542 total citations
8 papers, 156 citations indexed

About

Sabrina Golling is a scholar working on Molecular Biology, Spectroscopy and Genetics. According to data from OpenAlex, Sabrina Golling has authored 8 papers receiving a total of 156 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Spectroscopy and 2 papers in Genetics. Recurrent topics in Sabrina Golling's work include Advanced Proteomics Techniques and Applications (3 papers), Glycosylation and Glycoproteins Research (1 paper) and interferon and immune responses (1 paper). Sabrina Golling is often cited by papers focused on Advanced Proteomics Techniques and Applications (3 papers), Glycosylation and Glycoproteins Research (1 paper) and interferon and immune responses (1 paper). Sabrina Golling collaborates with scholars based in Switzerland, United States and Netherlands. Sabrina Golling's co-authors include Manuel Tzouros, Meena Choi, Nikhil J. Pandya, Balázs Bánfai, Tom Dunkley, Ting Huang, Olga Vitek, Angélique Augustin, Hanno Langen and Jens Lamerz and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS Biology and Molecular & Cellular Proteomics.

In The Last Decade

Sabrina Golling

6 papers receiving 151 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sabrina Golling Switzerland 5 114 52 22 17 15 8 156
David Kotol Sweden 9 111 1.0× 48 0.9× 22 1.0× 13 0.8× 8 0.5× 15 167
Anita Y. H. Lee United States 7 127 1.1× 74 1.4× 34 1.5× 10 0.6× 8 0.5× 7 225
Navratan Bagwan Spain 7 145 1.3× 33 0.6× 9 0.4× 15 0.9× 10 0.7× 10 232
Kevin Yang United States 7 114 1.0× 52 1.0× 21 1.0× 8 0.5× 6 0.4× 10 200
Vincent Fong Canada 8 171 1.5× 67 1.3× 19 0.9× 26 1.5× 10 0.7× 10 210
Niveda Sundararaman United States 6 79 0.7× 27 0.5× 27 1.2× 22 1.3× 7 0.5× 19 137
Hélène Meistermann Switzerland 5 99 0.9× 96 1.8× 14 0.6× 8 0.5× 14 0.9× 5 169
Flavio Crameri Switzerland 7 114 1.0× 41 0.8× 33 1.5× 22 1.3× 23 1.5× 12 221
Ginny Xiaohe Li United States 4 129 1.1× 93 1.8× 16 0.7× 10 0.6× 5 0.3× 6 180
Lioudmila Elfineh Sweden 9 138 1.2× 62 1.2× 24 1.1× 12 0.7× 11 0.7× 9 230

Countries citing papers authored by Sabrina Golling

Since Specialization
Citations

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

Fields of papers citing papers by Sabrina Golling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sabrina Golling

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

All Works

8 of 8 papers shown
1.
Narayanan, Ramanathan, Solveig Badillo, Manuel Tzouros, et al.. (2025). UBE3A reinstatement restores behaviorand proteome in an Angelman syndrome mouse model of imprinting defects. Molecular Autism. 16(1). 45–45.
2.
Samuels, Benjamin A., Michael Saxe, Juergen Wichmann, et al.. (2024). Pharmacological Enhancement of Adult Hippocampal Neurogenesis Improves Behavioral Pattern Separation in Young and Aged Male Mice. SHILAP Revista de lepidopterología. 5(2). 100419–100419.
3.
Baker, Steven F., Hélène Meistermann, Manuel Tzouros, et al.. (2022). Alternative splicing liberates a cryptic cytoplasmic isoform of mitochondrial MECR that antagonizes influenza virus. PLoS Biology. 20(12). e3001934–e3001934. 8 indexed citations
4.
Nölle, Anna, Daniela Calini, Julien Bryois, et al.. (2021). Enrichment of Glial Cells From Human Post-mortem Tissue for Transcriptome and Proteome Analysis Using Immunopanning. Frontiers in Cellular Neuroscience. 15. 772011–772011. 3 indexed citations
5.
Huang, Ting, Meena Choi, Manuel Tzouros, et al.. (2020). MSstatsTMT: Statistical Detection of Differentially Abundant Proteins in Experiments with Isobaric Labeling and Multiple Mixtures. Molecular & Cellular Proteomics. 19(10). 1706–1723. 92 indexed citations
6.
Meistermann, Hélène, Junjun Gao, Sabrina Golling, et al.. (2014). A Novel Immuno-Competitive Capture Mass Spectrometry Strategy for Protein–Protein Interaction Profiling Reveals That LATS Kinases Regulate HCV Replication Through NS5A Phosphorylation*. Molecular & Cellular Proteomics. 13(11). 3040–3048. 13 indexed citations
7.
Augustin, Angélique, Jens Lamerz, Hélène Meistermann, et al.. (2013). Quantitative Chemical Proteomics Profiling Differentiates Erlotinib from Gefitinib in EGFR Wild-Type Non–Small Cell Lung Carcinoma Cell Lines. Molecular Cancer Therapeutics. 12(4). 520–529. 16 indexed citations
8.
Tzouros, Manuel, Sabrina Golling, David Ávila, et al.. (2013). Development of a 5-plex SILAC Method Tuned for the Quantitation of Tyrosine Phosphorylation Dynamics. Molecular & Cellular Proteomics. 12(11). 3339–3349. 24 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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