Angelos Skodras

2.5k total citations
18 papers, 916 citations indexed

About

Angelos Skodras is a scholar working on Molecular Biology, Physiology and Neurology. According to data from OpenAlex, Angelos Skodras has authored 18 papers receiving a total of 916 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Physiology and 5 papers in Neurology. Recurrent topics in Angelos Skodras's work include Alzheimer's disease research and treatments (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (4 papers). Angelos Skodras is often cited by papers focused on Alzheimer's disease research and treatments (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (4 papers). Angelos Skodras collaborates with scholars based in Germany, United States and Sweden. Angelos Skodras's co-authors include Mathias Jucker, Jonas J. Neher, Jasmin K. Hefendehl, Shinichi Kohsaka, Bettina M. Wegenast‐Braun, Ulrike Obermüller, Petra Füger, Ann‐Christin Wendeln, Peter Martus and Christine Schlosser and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Angelos Skodras

18 papers receiving 909 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Angelos Skodras Germany 13 550 327 253 246 143 18 916
Lihong Zhan United States 15 552 1.0× 295 0.9× 338 1.3× 240 1.0× 136 1.0× 15 1.1k
Vasiliki Kyrargyri Greece 8 603 1.1× 304 0.9× 272 1.1× 163 0.7× 234 1.6× 12 1.1k
David Le United States 10 456 0.8× 360 1.1× 197 0.8× 176 0.7× 132 0.9× 11 770
Lindsay A. Hohsfield United States 15 699 1.3× 315 1.0× 229 0.9× 301 1.2× 196 1.4× 23 1.1k
Leen Wolfs Belgium 8 729 1.3× 435 1.3× 373 1.5× 321 1.3× 134 0.9× 12 1.1k
Jessica L. Larson United States 11 541 1.0× 284 0.9× 358 1.4× 274 1.1× 144 1.0× 14 964
Elisa M. York Canada 12 626 1.1× 160 0.5× 234 0.9× 270 1.1× 159 1.1× 17 918
Divya Raj Netherlands 10 862 1.6× 377 1.2× 272 1.1× 434 1.8× 156 1.1× 14 1.2k
Luc Grandbarbe Luxembourg 11 500 0.9× 229 0.7× 340 1.3× 197 0.8× 206 1.4× 13 972
Carlos Pasqualucci Brazil 4 463 0.8× 222 0.7× 167 0.7× 230 0.9× 111 0.8× 5 681

Countries citing papers authored by Angelos Skodras

Since Specialization
Citations

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

Fields of papers citing papers by Angelos Skodras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angelos Skodras

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

All Works

18 of 18 papers shown
1.
Hans, Friederike, Felix von Zweydorf, Regina Feederle, et al.. (2022). Sirtuin-1 sensitive lysine-136 acetylation drives phase separation and pathological aggregation of TDP-43. Nature Communications. 13(1). 1223–1223. 54 indexed citations
2.
Beck, Christina M., et al.. (2022). Second Harmonic Generation Microscopy as a Novel Intraoperative Assessment of Rat Median Nerve Injury. The Journal Of Hand Surgery. 48(11). 1170.e1–1170.e7. 9 indexed citations
3.
Degenhardt, Karoline, Jessica Wagner, Angelos Skodras, et al.. (2020). Medin aggregation causes cerebrovascular dysfunction in aging wild-type mice. Proceedings of the National Academy of Sciences. 117(38). 23925–23931. 26 indexed citations
4.
Bacioglu, Mehtap, Manuel Schweighauser, Jasmin Mahler, et al.. (2020). Prominent microglial inclusions in transgenic mouse models of α-synucleinopathy that are distinct from neuronal lesions. Acta Neuropathologica Communications. 8(1). 133–133. 21 indexed citations
5.
Schwarz, Niklas, Betül Seher Uysal, Marc Welzer, et al.. (2019). Long-term adult human brain slice cultures as a model system to study human CNS circuitry and disease. eLife. 8. 57 indexed citations
6.
Schelle, Juliane, Bettina M. Wegenast‐Braun, Sarah K. Fritschi, et al.. (2019). Early Aβ reduction prevents progression of cerebral amyloid angiopathy. Annals of Neurology. 86(4). 561–571. 15 indexed citations
7.
Ceholski, Delaine K., Irene C. Turnbull, Chi‐Wing Kong, et al.. (2018). Functional and transcriptomic insights into pathogenesis of R9C phospholamban mutation using human induced pluripotent stem cell-derived cardiomyocytes. Journal of Molecular and Cellular Cardiology. 119. 147–154. 23 indexed citations
8.
Füger, Petra, Jasmin K. Hefendehl, Ann‐Christin Wendeln, et al.. (2017). Microglia turnover with aging and in an Alzheimer's model via long-term in vivo single-cell imaging. Nature Neuroscience. 20(10). 1371–1376. 280 indexed citations
9.
Langer, Franziska, Jasmin Mahler, Angelos Skodras, et al.. (2016). Conversion of Synthetic Aβ toIn VivoActive Seeds and Amyloid Plaque Formation in a Hippocampal Slice Culture Model. Journal of Neuroscience. 36(18). 5084–5093. 33 indexed citations
10.
Skodras, Angelos, et al.. (2015). Spine Loss in Primary Somatosensory Cortex during Trace Eyeblink Conditioning. Journal of Neuroscience. 35(9). 3772–3781. 18 indexed citations
11.
Ísaksson, Helgi J., Stephan A. Kaeser, Angelos Skodras, et al.. (2015). Parenchymal cystatin C focal deposits and glial scar formation around brain arteries in Hereditary Cystatin C Amyloid Angiopathy. Brain Research. 1622. 149–162. 8 indexed citations
12.
Skodras, Angelos & Gianluca Marcelli. (2015). Computer-Generated Ovaries to Assist Follicle Counting Experiments. PLoS ONE. 10(3). e0120242–e0120242. 6 indexed citations
13.
Mahler, Jasmin, José Morales‐Corraliza, Angelos Skodras, et al.. (2015). Endogenous murine Aβ increases amyloid deposition in APP23 but not in APPPS1 transgenic mice. Neurobiology of Aging. 36(7). 2241–2247. 12 indexed citations
14.
Eisele, Yvonne S., Sarah K. Fritschi, Tsuyoshi Hamaguchi, et al.. (2014). Multiple Factors Contribute to the Peripheral Induction of Cerebral  -Amyloidosis. Journal of Neuroscience. 34(31). 10264–10273. 67 indexed citations
15.
Hefendehl, Jasmin K., et al.. (2013). Homeostatic and injury‐induced microglia behavior in the aging brain. Aging Cell. 13(1). 60–69. 235 indexed citations
16.
Ísaksson, Helgi J., Stephan A. Kaeser, Angelos Skodras, et al.. (2013). Deposition of collagen IV and aggrecan in leptomeningeal arteries of hereditary brain haemorrhage with amyloidosis. Brain Research. 1535. 106–114. 10 indexed citations
17.
Wegenast‐Braun, Bettina M., Angelos Skodras, Jasmin Mahler, et al.. (2012). Spectral Discrimination of Cerebral Amyloid Lesions after Peripheral Application of Luminescent Conjugated Oligothiophenes. American Journal Of Pathology. 181(6). 1953–1960. 30 indexed citations
18.
Skodras, Angelos, Stamatia Giannarou, Mark A. Fenwick, et al.. (2009). Object recognition in the ovary: Quantification of oocytes from microscopic images. 1–6. 12 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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