Nadia Stefanova

6.6k total citations · 1 hit paper
112 papers, 4.9k citations indexed

About

Nadia Stefanova is a scholar working on Neurology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Nadia Stefanova has authored 112 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Neurology, 70 papers in Cellular and Molecular Neuroscience and 50 papers in Neurology. Recurrent topics in Nadia Stefanova's work include Parkinson's Disease Mechanisms and Treatments (93 papers), Neurological diseases and metabolism (32 papers) and Genetic Neurodegenerative Diseases (23 papers). Nadia Stefanova is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (93 papers), Neurological diseases and metabolism (32 papers) and Genetic Neurodegenerative Diseases (23 papers). Nadia Stefanova collaborates with scholars based in Austria, United States and Germany. Nadia Stefanova's co-authors include Gregor K. Wenning, Werner Poewe, Markus Reindl, Lisa Fellner, K. A. Jellinger, Lars Klimaschewski, Kathrin Schanda, Regina Irschick, Philipp Bücke and Susanne Duerr and has published in prestigious journals such as Journal of Neuroscience, Nature reviews. Neuroscience and PLoS ONE.

In The Last Decade

Nadia Stefanova

109 papers receiving 4.8k citations

Hit Papers

Toll‐like receptor 4 is required for α‐synuclein dependen... 2012 2026 2016 2021 2012 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nadia Stefanova Austria 36 3.4k 2.1k 2.0k 1.2k 1.1k 112 4.9k
Yuko Saito Japan 44 2.9k 0.9× 1.5k 0.7× 1.6k 0.8× 2.8k 2.4× 2.0k 1.8× 191 6.6k
Marina Romero‐Ramos Denmark 32 1.8k 0.5× 1.3k 0.6× 1.2k 0.6× 605 0.5× 829 0.7× 56 3.0k
Ebba Lohmann Türkiye 26 2.1k 0.6× 1.2k 0.6× 1.0k 0.5× 801 0.7× 826 0.7× 73 3.3k
Kunimasa Arima Japan 38 1.5k 0.5× 959 0.5× 1.0k 0.5× 1.3k 1.1× 1.3k 1.2× 100 4.3k
Ruth H. Walker United States 33 1.5k 0.4× 2.2k 1.0× 920 0.5× 863 0.7× 1.1k 1.0× 140 4.2k
Daniel Alvarez‐Fischer Germany 24 1.3k 0.4× 989 0.5× 1.1k 0.5× 478 0.4× 904 0.8× 44 3.1k
Pingyi Xu China 32 1.0k 0.3× 1.3k 0.6× 774 0.4× 510 0.4× 1.2k 1.0× 133 3.2k
Natalia Ninkina United Kingdom 38 2.1k 0.6× 1.4k 0.7× 426 0.2× 988 0.8× 1.8k 1.6× 103 4.3k
Toshio Kawamata Japan 35 1.0k 0.3× 941 0.4× 1.5k 0.8× 1.6k 1.4× 1.5k 1.4× 76 4.2k
Pau Pástor Spain 36 2.2k 0.6× 819 0.4× 790 0.4× 1.2k 1.0× 952 0.9× 123 3.6k

Countries citing papers authored by Nadia Stefanova

Since Specialization
Citations

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

Fields of papers citing papers by Nadia Stefanova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadia Stefanova

This figure shows the co-authorship network connecting the top 25 collaborators of Nadia Stefanova. A scholar is included among the top collaborators of Nadia Stefanova 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 Nadia Stefanova. Nadia Stefanova 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.
Piras, Ignazio S., et al.. (2024). Transcriptomic insights into multiple system atrophy from a PLP-α-synuclein transgenic mouse model. Brain Research. 1834. 148912–148912. 2 indexed citations
2.
Stefanova, Nadia & Gregor K. Wenning. (2023). Multiple system atrophy: at the crossroads of cellular, molecular and genetic mechanisms. Nature reviews. Neuroscience. 24(6). 334–346. 32 indexed citations
3.
Cheng, An, K. Kawahata, Yifei Wang, et al.. (2023). Epsin2, a novel target for multiple system atrophy therapy via α-synuclein/FABP7 propagation. Brain. 146(8). 3172–3180. 6 indexed citations
4.
Stefanova, Nadia. (2022). A Mouse Model of Multiple System Atrophy: Bench to Bedside. Neurotherapeutics. 20(1). 117–126. 5 indexed citations
5.
Stefanova, Nadia, et al.. (2022). Spreading of Aggregated α-Synuclein in Sagittal Organotypic Mouse Brain Slices. Biomolecules. 12(2). 163–163. 7 indexed citations
6.
Jellinger, K. A., Gregor K. Wenning, & Nadia Stefanova. (2021). Is Multiple System Atrophy a Prion-like Disorder?. International Journal of Molecular Sciences. 22(18). 10093–10093. 13 indexed citations
7.
Wenning, Gregor K., et al.. (2021). Current experimental disease-modifying therapeutics for multiple system atrophy. Journal of Neural Transmission. 128(10). 1529–1543. 13 indexed citations
8.
Heras‐Garvin, Antonio, et al.. (2021). ATH434 Reduces α‐Synuclein‐Related Neurodegeneration in a Murine Model of Multiple System Atrophy. Movement Disorders. 36(11). 2605–2614. 16 indexed citations
9.
Heras‐Garvin, Antonio, et al.. (2020). Signs of early cellular dysfunction in multiple system atrophy. Neuropathology and Applied Neurobiology. 47(2). 268–282. 13 indexed citations
10.
Heras‐Garvin, Antonio, et al.. (2020). Signs of Chronic Hypoxia Suggest a Novel Pathophysiological Event in α‐Synucleinopathies. Movement Disorders. 35(12). 2333–2338. 12 indexed citations
11.
Heras‐Garvin, Antonio & Nadia Stefanova. (2020). MSA: From basic mechanisms to experimental therapeutics. Parkinsonism & Related Disorders. 73. 94–104. 14 indexed citations
12.
Heras‐Garvin, Antonio, et al.. (2020). High-salt diet does not boost neuroinflammation and neurodegeneration in a model of α-synucleinopathy. Journal of Neuroinflammation. 17(1). 35–35. 14 indexed citations
13.
Heras‐Garvin, Antonio, Sabine Schmidhuber, Armin Giese, et al.. (2020). Targeting α-synuclein by PD03 AFFITOPE® and Anle138b rescues neurodegenerative pathology in a model of multiple system atrophy: clinical relevance. Translational Neurodegeneration. 9(1). 38–38. 23 indexed citations
14.
Ndayisaba, Alain, et al.. (2019). Induced pluripotent stem cells in multiple system atrophy: recent developments and scientific challenges. Clinical Autonomic Research. 29(4). 385–395. 2 indexed citations
15.
Kaindlstorfer, Christine, Nadia Stefanova, Florian Krismer, et al.. (2019). L-dopa response pattern in a rat model of mild striatonigral degeneration. PLoS ONE. 14(6). e0218130–e0218130. 2 indexed citations
16.
Gunduz‐Cinar, Ozge, et al.. (2019). Increased anxiety-like behavior following circuit-specific catecholamine denervation in mice. Neurobiology of Disease. 125. 55–66. 25 indexed citations
17.
Heras‐Garvin, Antonio, Daniel Weckbecker, Sergey Ryazanov, et al.. (2018). Anle138b modulates α‐synuclein oligomerization and prevents motor decline and neurodegeneration in a mouse model of multiple system atrophy. Movement Disorders. 34(2). 255–263. 79 indexed citations
18.
Bez, Francesco, Alexia Polissidis, Werner Poewe, et al.. (2018). Progressive striatonigral degeneration in a transgenic mouse model of multiple system atrophy: translational implications for interventional therapies. Acta Neuropathologica Communications. 6(1). 2–2. 44 indexed citations
19.
Ortner, Nadine J., Antonios Dougalis, Maria Kharitonova, et al.. (2017). Lower Affinity of Isradipine for L-Type Ca 2+ Channels during Substantia Nigra Dopamine Neuron-Like Activity: Implications for Neuroprotection in Parkinson's Disease. Journal of Neuroscience. 37(28). 6761–6777. 62 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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