Albert Neutzner

6.2k total citations
55 papers, 3.0k citations indexed

About

Albert Neutzner is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Albert Neutzner has authored 55 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 13 papers in Cellular and Molecular Neuroscience and 11 papers in Cell Biology. Recurrent topics in Albert Neutzner's work include Mitochondrial Function and Pathology (19 papers), Ubiquitin and proteasome pathways (11 papers) and Autophagy in Disease and Therapy (9 papers). Albert Neutzner is often cited by papers focused on Mitochondrial Function and Pathology (19 papers), Ubiquitin and proteasome pathways (11 papers) and Autophagy in Disease and Therapy (9 papers). Albert Neutzner collaborates with scholars based in Switzerland, United States and China. Albert Neutzner's co-authors include Richard J. Youle, Mariusz Karbowski, Chunxin Wang, Nico Tjandra, Motoshi Suzuki, Soojay Banerjee, Megan M. Cleland, Damien Arnoult, Frank Edlich and Josef Flammer and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Albert Neutzner

55 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Albert Neutzner Switzerland 28 2.2k 622 438 314 262 55 3.0k
Isabelle Petropoulos France 28 1.8k 0.8× 381 0.6× 746 1.7× 473 1.5× 100 0.4× 83 3.0k
Yang-ja Lee United States 19 2.5k 1.1× 390 0.6× 206 0.5× 252 0.8× 104 0.4× 25 3.0k
Silvia Campello Italy 25 1.7k 0.8× 905 1.5× 295 0.7× 320 1.0× 190 0.7× 44 2.6k
Chuang‐Rung Chang Taiwan 20 2.8k 1.3× 593 1.0× 360 0.8× 709 2.3× 184 0.7× 41 3.6k
Danielle A. Sliter United States 13 2.0k 0.9× 2.1k 3.3× 614 1.4× 517 1.6× 591 2.3× 13 3.4k
Neena Singh United States 33 2.0k 0.9× 197 0.3× 241 0.6× 521 1.7× 321 1.2× 77 2.9k
Dionisia P. Sideris Greece 17 2.4k 1.1× 1.8k 2.8× 607 1.4× 464 1.5× 543 2.1× 18 3.6k
Megan M. Cleland United States 14 3.3k 1.5× 1.2k 1.9× 525 1.2× 419 1.3× 449 1.7× 15 4.0k
Arnaud Chevrollier France 31 2.0k 0.9× 195 0.3× 154 0.4× 285 0.9× 163 0.6× 73 2.6k
Julien Prudent United Kingdom 26 2.9k 1.3× 598 1.0× 494 1.1× 495 1.6× 132 0.5× 52 3.7k

Countries citing papers authored by Albert Neutzner

Since Specialization
Citations

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

Fields of papers citing papers by Albert Neutzner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Albert Neutzner

This figure shows the co-authorship network connecting the top 25 collaborators of Albert Neutzner. A scholar is included among the top collaborators of Albert Neutzner 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 Albert Neutzner. Albert Neutzner 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.
Rossinelli, Diego, Hanspeter E. Killer, Albert Neutzner, et al.. (2024). Large-scale in-silico analysis of CSF dynamics within the subarachnoid space of the optic nerve. Fluids and Barriers of the CNS. 21(1). 20–20. 3 indexed citations
2.
Kohler, Corina, et al.. (2023). Impact of aging on meningeal gene expression. Fluids and Barriers of the CNS. 20(1). 12–12. 13 indexed citations
3.
Rossinelli, Diego, Hanspeter E. Killer, Peter Meyer, et al.. (2023). Large-scale morphometry of the subarachnoid space of the optic nerve. Fluids and Barriers of the CNS. 20(1). 21–21. 8 indexed citations
4.
Kohler, Corina, et al.. (2020). The extracellular matrix composition of the optic nerve subarachnoid space. Experimental Eye Research. 200. 108250–108250. 4 indexed citations
5.
Neutzner, Albert, Laura Power, Markus Dürrenberger, et al.. (2019). A perfusion bioreactor-based 3D model of the subarachnoid space based on a meningeal tissue construct. Fluids and Barriers of the CNS. 16(1). 17–17. 6 indexed citations
6.
Bippes, Claudia C., et al.. (2018). UBXD1 is a mitochondrial recruitment factor for p97/VCP and promotes mitophagy. Scientific Reports. 8(1). 12415–12415. 37 indexed citations
7.
Fang, Lei, et al.. (2015). Mitochondrial function in neuronal cells depends on p97/VCP/Cdc48-mediated quality control. Frontiers in Cellular Neuroscience. 9. 16–16. 38 indexed citations
8.
Flammer, Josef, et al.. (2014). Proteasome-mediated quality control of S-nitrosylated mitochondrial proteins. Mitochondrion. 17. 182–186. 12 indexed citations
9.
Li, Jia, Lei Fang, Peter Meyer, et al.. (2014). Anti-inflammatory response following uptake of apoptotic bodies by meningothelial cells. Journal of Neuroinflammation. 11(1). 35–35. 17 indexed citations
10.
Konieczka, Katarzyna, et al.. (2013). Refractoriness to the Effect of Endothelin-1 in Porcine Ciliary Arteries. Journal of Ocular Pharmacology and Therapeutics. 29(5). 488–492. 3 indexed citations
11.
Fang, Lei, Jia Li, Josef Flammer, & Albert Neutzner. (2013). MARCH5 inactivation supports mitochondrial function during neurodegenerative stress. Frontiers in Cellular Neuroscience. 7. 176–176. 9 indexed citations
12.
Lang, Sven, Lisa Michelle Restelli, Margit Miesbauer, et al.. (2013). Structural features within the nascent chain regulate alternative targeting of secretory proteins to mitochondria. The EMBO Journal. 32(7). 1036–1051. 31 indexed citations
13.
Fang, Lei, David Goldblum, Peter Meyer, et al.. (2012). Inactivation of MARCH5 Prevents Mitochondrial Fragmentation and Interferes with Cell Death in a Neuronal Cell Model. PLoS ONE. 7(12). e52637–e52637. 25 indexed citations
14.
Neutzner, Albert, Sunan Li, Shan Xu, & Mariusz Karbowski. (2012). The ubiquitin/proteasome system-dependent control of mitochondrial steps in apoptosis. Seminars in Cell and Developmental Biology. 23(5). 499–508. 27 indexed citations
15.
Fan, Bin, Josef Flammer, Neil R. Miller, et al.. (2011). Meningothelial Cells React to Elevated Pressure and Oxidative Stress. PLoS ONE. 6(5). e20142–e20142. 38 indexed citations
16.
Edlich, Frank, Soojay Banerjee, Motoshi Suzuki, et al.. (2011). Bcl-xL Retrotranslocates Bax from the Mitochondria into the Cytosol. Cell. 145(1). 104–116. 480 indexed citations
17.
18.
Bénard, Giovanni, Albert Neutzner, & Mariusz Karbowski. (2010). Outer mitochondrial membrane protein degradation by the proteasome/ubiquitin system. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1797. 126–126. 1 indexed citations
19.
Bénard, Giovanni, Albert Neutzner, Guihong Peng, et al.. (2010). IBRDC2, an IBR‐type E3 ubiquitin ligase, is a regulatory factor for Bax and apoptosis activation. The EMBO Journal. 29(8). 1458–1471. 69 indexed citations
20.
Neutzner, Albert, Giovanni Bénard, Richard J. Youle, & Mariusz Karbowski. (2008). Role of the Ubiquitin Conjugation System in the Maintenance of Mitochondrial Homeostasis. Annals of the New York Academy of Sciences. 1147(1). 242–253. 64 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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