Sascha Weggen
- Biological Psychiatry top 1%
- Tryptophan and brain disorders 8
- Physiology top 0.2%
- Alzheimer's disease research and treatments 60
- Neurology top 0.5%
- Neuroinflammation and Neurodegeneration Mechanisms 9
- Pharmacology top 0.5%
- Cholinesterase and Neurodegenerative Diseases 16
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods 13
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- Drug Transport and Resistance Mechanisms 15
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- Cellular transport and secretion 9
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- Trace Elements in Health 5
- Co-authors
- Claus U. PietrzikEdward H. KooJason L. EriksenTodd E. GoldeSarah A. SagiPritam DasVictor OzolsThomas A. Bayer
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (11 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Sascha Weggen
93 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Biological Psychiatry 391
- Physiology 3.8k
- Neurology 1.1k
- Pharmacology 1.5k
- Computational Theory and Mathematics 1.1k
Countries citing papers authored by Sascha Weggen
This map shows the geographic impact of Sascha Weggen'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 Sascha Weggen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sascha Weggen more than expected).
Fields of papers citing papers by Sascha Weggen
This network shows the impact of papers produced by Sascha Weggen. 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 Sascha Weggen. The network helps show where Sascha Weggen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sascha Weggen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 2 | |
| 2 | 2023 | 11 | |
| 3 | 2019 | 9 | |
| 4 | 2018 | 16 | |
| 5 | 2018 | 96 | |
| 6 | 2018 | 104 | |
| 7 | 2013 | 52 | |
| 8 | 2013 | 12 | |
| 9 | 2013 | 46 | |
| 10 | 2012 | 107 | |
| 11 | 2012 | 36 | |
| 12 | 2011 | 23 | |
| 13 | 2010 | 91 | |
| 14 | 2010 | 24 | |
| 15 | 2009 | 26 | |
| 16 | 2008 | 50 | |
| 17 | 2008 | 86 | |
| 18 | 2005 | 26 | |
| 19 | 2005 | 228 | |
| 20 | NSAIDs and enantiomers of flurbiprofen target γ-secretase and lower Aβ42 in vivobreakdown → | 2003 | 502 |
About Sascha Weggen
Sascha Weggen is a scholar working on Biological Psychiatry, Physiology and Neurology, having authored 93 papers that have together received 6.2k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (60 papers), Cholinesterase and Neurodegenerative Diseases (16 papers), Drug Transport and Resistance Mechanisms (15 papers), Computational Drug Discovery Methods (13 papers), Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Cellular transport and secretion (9 papers), Tryptophan and brain disorders (8 papers) and Trace Elements in Health (5 papers). The work is most often cited by research in Biological Psychiatry (391 citations), Physiology (3.8k citations) and Neurology (1.1k citations). Sascha Weggen has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Claus U. Pietrzik, Edward H. Koo, Jason L. Eriksen, Todd E. Golde, Sarah A. Sagi, Pritam Das, Victor Ozols, Thomas A. Bayer, Dirk Beher and Sandra Baches. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.