Stefania Vaga

1.2k total citations · 1 hit paper
16 papers, 850 citations indexed

About

Stefania Vaga is a scholar working on Molecular Biology, Pharmacology and Pathology and Forensic Medicine. According to data from OpenAlex, Stefania Vaga has authored 16 papers receiving a total of 850 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Pharmacology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Stefania Vaga's work include Fungal and yeast genetics research (5 papers), Spine and Intervertebral Disc Pathology (4 papers) and Musculoskeletal pain and rehabilitation (3 papers). Stefania Vaga is often cited by papers focused on Fungal and yeast genetics research (5 papers), Spine and Intervertebral Disc Pathology (4 papers) and Musculoskeletal pain and rehabilitation (3 papers). Stefania Vaga collaborates with scholars based in Switzerland, Italy and United Kingdom. Stefania Vaga's co-authors include Ruedi Aebersold, Jens Nielsen, Saeed Shoaie, Gordon Proctor, Nicholas J. Talley, Doheon Lee, Sunjae Lee, Junseok Park, Anna Andréasson and Lars Agréus and has published in prestigious journals such as Journal of Biological Chemistry, Scientific Reports and Magnetic Resonance in Medicine.

In The Last Decade

Stefania Vaga

16 papers receiving 840 citations

Hit Papers

Compositional and functional differences of the mucosal m... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefania Vaga Switzerland 12 497 109 98 98 97 16 850
Shuai Li China 21 694 1.4× 83 0.8× 75 0.8× 65 0.7× 95 1.0× 67 1.5k
Qi Liu China 26 689 1.4× 131 1.2× 85 0.9× 114 1.2× 43 0.4× 99 1.7k
Magalie Bénard France 22 503 1.0× 67 0.6× 21 0.2× 60 0.6× 96 1.0× 53 1.2k
Gen Liu China 18 434 0.9× 67 0.6× 36 0.4× 76 0.8× 53 0.5× 48 950
Zhenghui Wang China 19 602 1.2× 69 0.6× 60 0.6× 111 1.1× 31 0.3× 72 1.2k
Shigeki Sugiura Japan 20 707 1.4× 68 0.6× 29 0.3× 41 0.4× 37 0.4× 63 1.5k
Hongyan Jiang China 22 577 1.2× 202 1.9× 39 0.4× 79 0.8× 68 0.7× 93 1.8k
Guanyu Gong United States 14 452 0.9× 81 0.7× 30 0.3× 99 1.0× 76 0.8× 29 1.0k
James P. Morrison United States 17 435 0.9× 67 0.6× 40 0.4× 28 0.3× 21 0.2× 48 1.1k

Countries citing papers authored by Stefania Vaga

Since Specialization
Citations

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

Fields of papers citing papers by Stefania Vaga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefania Vaga

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

All Works

16 of 16 papers shown
1.
Plank, Michael, Markus Müller, Stefania Vaga, et al.. (2020). Chemical Genetics of AGC-kinases Reveals Shared Targets of Ypk1, Protein Kinase A and Sch9. Molecular & Cellular Proteomics. 19(4). 655–671. 15 indexed citations
2.
Vaga, Stefania, Sunjae Lee, Boyang Ji, et al.. (2020). Compositional and functional differences of the mucosal microbiota along the intestine of healthy individuals. Scientific Reports. 10(1). 14977–14977. 327 indexed citations breakdown →
3.
Masdeu, M., Eskeatnaf Mulugeta, Stefania Vaga, et al.. (2019). Id4 promotes the elimination of the pro-activation factor Ascl1 to maintain quiescence of adult hippocampal stem cells. eLife. 8. 66 indexed citations
4.
Masdeu, M., Eskeatnaf Mulugeta, Stefania Vaga, et al.. (2018). Id4 Eliminates the Pro-Activation Factor Ascl1 to Maintain Quiescence of Adult Hippocampal Stem Cells. SSRN Electronic Journal. 1 indexed citations
5.
Terfve, Camille, Eduard Sabidó, Yibo Wu, et al.. (2016). System-Wide Quantitative Proteomics of the Metabolic Syndrome in Mice: Genotypic and Dietary Effects. Journal of Proteome Research. 16(2). 831–841. 9 indexed citations
6.
Ståhl, Michael, Stefania Vaga, Bernd Bodenmiller, et al.. (2015). Target of Rapamycin Complex 2 Regulates Actin Polarization and Endocytosis via Multiple Pathways. Journal of Biological Chemistry. 290(24). 14963–14978. 66 indexed citations
7.
Lampert, Fabienne, Sergi Regot, Stefania Vaga, et al.. (2015). Parallel feedback loops control the basal activity of the HOG MAPK signaling cascade. Integrative Biology. 7(4). 412–422. 19 indexed citations
8.
Vaga, Stefania, Martí Bernardo-Faura, Thomas Cokelaer, et al.. (2014). Phosphoproteomic analyses reveal novel cross‐modulation mechanisms between two signaling pathways in yeast. Molecular Systems Biology. 10(12). 767–767. 32 indexed citations
9.
Braun, Katherine A., Stefania Vaga, Kenneth M. Dombek, et al.. (2014). Phosphoproteomic analysis identifies proteins involved in transcription-coupled mRNA decay as targets of Snf1 signaling. Science Signaling. 7(333). ra64–ra64. 43 indexed citations
10.
Bontron, Séverine, Malika Jaquenoud, Stefania Vaga, et al.. (2012). Yeast Endosulfines Control Entry into Quiescence and Chronological Life Span by Inhibiting Protein Phosphatase 2A. Cell Reports. 3(1). 16–22. 70 indexed citations
11.
Zhang, Jie, Stefania Vaga, Pramote Chumnanpuen, et al.. (2011). Mapping the interaction of Snf1 with TORC1 in Saccharomyces cerevisiae. Molecular Systems Biology. 7(1). 545–545. 91 indexed citations
12.
Caiani, Enrico G., et al.. (2011). Mid‐term evaluation of the effects of dynamic neutralization system on lumbar intervertebral discs using quantitative molecular MR imaging. Journal of Magnetic Resonance Imaging. 35(5). 1145–1151. 11 indexed citations
13.
Gianella, Anita, Uliano Guerrini, Luigi Sironi, et al.. (2009). Magnetic resonance imaging of human endothelial progenitors reveals opposite effects on vascular and muscle regeneration into ischaemic tissues. Cardiovascular Research. 85(3). 503–513. 18 indexed citations
14.
Vaga, Stefania, Marco Brayda‐Bruno, Maurizio Fornari, et al.. (2009). Molecular MR imaging for the evaluation of the effect of dynamic stabilization on lumbar intervertebral discs. European Spine Journal. 18(S1). 40–48. 48 indexed citations
15.
Vaga, Stefania, et al.. (2009). Division scheme optimization for the molecular evaluation of the intervertebral disc by gadolinium‐enhanced MRI. Journal of Magnetic Resonance Imaging. 29(6). 1443–1449. 5 indexed citations
16.
Vaga, Stefania, Manuela Teresa Raimondi, Enrico G. Caiani, et al.. (2007). Quantitative assessment of intervertebral disc glycosaminoglycan distribution by gadolinium‐enhanced MRI in orthopedic patients. Magnetic Resonance in Medicine. 59(1). 85–95. 29 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026