Stephan Seiler
Impact in
- Cell Biology top 1%
- Microtubule and mitosis dynamics
- Neurology top 2%
Papers in
-
- Fungal and yeast genetics research 28
- Protist diversity and phylogeny 9
- Cell Biology 22
- Microtubule and mitosis dynamics 15
- Co-authors
- Reinhold Schmidt (27 shared papers)Michael Plamann (3 shared papers)Stefan Ropele (14 shared papers)Anne Dettmann (9 shared papers)Nico Vogt (4 shared papers)Manfred Schliwa (2 shared papers)Marisa Loitfelder (3 shared papers)Helena Schmidt (10 shared papers)
- Journals
- Molecular Microbiology (9 papers)PLoS ONE (9 papers)PLoS Genetics (5 papers)Molecular Biology of the Cell (5 papers)Neurobiology of Aging (4 papers)
- Partner nations
- GermanyAustriaUnited States
In The Last Decade
Stephan Seiler
91 papers receiving 4.6k citations
Peers
Comparison fields: 5 of 151
- Cell Biology 1.0k
- Neurology 382
- Neurology 665
- Psychiatry and Mental health 580
- Pharmacology 577
Countries citing papers authored by Stephan Seiler
This map shows the geographic impact of Stephan Seiler'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 Stephan Seiler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephan Seiler more than expected).
Fields of papers citing papers by Stephan Seiler
This network shows the impact of papers produced by Stephan Seiler. 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 Stephan Seiler. The network helps show where Stephan Seiler may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephan Seiler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 245 | |
| 2 | 2005 | 207 | |
| 3 | 2016 | 173 | |
| 4 | 2003 | 158 | |
| 5 | 2017 | 146 | |
| 6 | 2010 | 143 | |
| 7 | 2013 | 129 | |
| 8 | 1997 | 123 | |
| 9 | 2014 | 115 | |
| 10 | 2000 | 115 | |
| 11 | 2014 | 107 | |
| 12 | 2011 | 102 | |
| 13 | 2011 | 100 | |
| 14 | 1999 | 96 | |
| 15 | 2016 | 93 | |
| 16 | 2007 | 89 | |
| 17 | 2009 | 89 | |
| 18 | 2012 | 86 | |
| 19 | 2012 | 77 | |
| 20 | 2008 | 76 |
About Stephan Seiler
Stephan Seiler is a scholar working on Molecular Biology, Cell Biology, Radiology, Nuclear Medicine and Imaging, Neurology and Cognitive Neuroscience, having authored 97 papers that have together received 4.7k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (28 papers), Microtubule and mitosis dynamics (15 papers), Advanced Neuroimaging Techniques and Applications (15 papers), Functional Brain Connectivity Studies (15 papers), Advanced MRI Techniques and Applications (11 papers), Dementia and Cognitive Impairment Research (11 papers), Alzheimer's disease research and treatments (9 papers) and Protist diversity and phylogeny (9 papers). The work is most often cited by research in Cell Biology (1.0k citations), Neurology (382 citations), Neurology (665 citations), Psychiatry and Mental health (580 citations) and Pharmacology (577 citations). Stephan Seiler has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Reinhold Schmidt, Michael Plamann, Stefan Ropele, Anne Dettmann, Nico Vogt, Manfred Schliwa, Marisa Loitfelder, Helena Schmidt, Steven D. Harris and Robert W. Roberson. Their work appears in journals such as Molecular Microbiology, PLoS ONE, PLoS Genetics, Molecular Biology of the Cell and Neurobiology of Aging.
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.