Alexander Prokscha
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Cell Biology top 10%
- Microtubule and mitosis dynamics
- Cellular Mechanics and Interactions
Papers in
-
- Ubiquitin and proteasome pathways 2
- Cancer-related gene regulation 2
- RNA Research and Splicing 2
- Epigenetics and DNA Methylation 1
-
- Microtubule and mitosis dynamics 3
- Co-authors
- Gregor Eichele (6 shared papers)Miki Tsukada (3 shared papers)Kimberley J. E. Sweeney (2 shared papers)Ernst Ungewickell (1 shared paper)Robert J. Schwartz (1 shared paper)Gary Clark (1 shared paper)Markus Hoffmann (1 shared paper)Christian Drosten (1 shared paper)
- Journals
- Mechanisms of Development (3 papers)Biochemical and Biophysical Research Communications (1 paper)Emerging Microbes & Infections (1 paper)Journal of Biological Chemistry (1 paper)Developmental Biology (1 paper)
- Partner nations
- GermanyUnited StatesHungary
In The Last Decade
Alexander Prokscha
7 papers receiving 360 citations
Peers
Comparison fields: 5 of 59
- Developmental Neuroscience 86
- Cell Biology 119
- Cellular and Molecular Neuroscience 70
- Molecular Biology 206
- Infectious Diseases 47
Countries citing papers authored by Alexander Prokscha
This map shows the geographic impact of Alexander Prokscha'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 Alexander Prokscha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Prokscha more than expected).
Fields of papers citing papers by Alexander Prokscha
This network shows the impact of papers produced by Alexander Prokscha. 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 Alexander Prokscha. The network helps show where Alexander Prokscha may publish in the future.
Co-authors
The 15 scholars most cited alongside Alexander Prokscha, 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 | 1999 | 72 | |
| 2 | 2020 | 72 | |
| 3 | 2005 | 66 | |
| 4 | 2003 | 53 | |
| 5 | 2001 | 39 | |
| 6 | 2000 | 38 | |
| 7 | 2006 | 26 |
About Alexander Prokscha
Alexander Prokscha is a scholar working on Molecular Biology, Cell Biology, Developmental Neuroscience, Infectious Diseases and Cellular and Molecular Neuroscience, having authored 7 papers that have together received 366 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (3 papers), Microtubule and mitosis dynamics (3 papers), Ubiquitin and proteasome pathways (2 papers), Cancer-related gene regulation (2 papers), RNA Research and Splicing (2 papers), Peptidase Inhibition and Analysis (1 paper), Epigenetics and DNA Methylation (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Developmental Neuroscience (86 citations), Cell Biology (119 citations), Cellular and Molecular Neuroscience (70 citations), Molecular Biology (206 citations) and Infectious Diseases (47 citations). Alexander Prokscha has collaborated with scholars based in Germany, United States and Hungary. Frequent co-authors include Gregor Eichele, Miki Tsukada, Kimberley J. E. Sweeney, Ernst Ungewickell, Robert J. Schwartz, Gary Clark, Markus Hoffmann, Christian Drosten, Nadine Krüger and Stefan Pöhlmann. Their work appears in journals such as Mechanisms of Development, Biochemical and Biophysical Research Communications, Emerging Microbes & Infections, Journal of Biological Chemistry and Developmental Biology.
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.