Armin E. Baiker
Impact in
- Developmental Neuroscience top 1%
- Neurogenesis and neuroplasticity mechanisms
- Genetics top 5%
- Virus-based gene therapy research
Papers in
- Genetics 17
- Virus-based gene therapy research 17
- Epidemiology 15
- Herpesvirus Infections and Treatments 14
- Co-authors
- Hans J. Lipps (8 shared papers)Klaus S. Fabel (3 shared papers)Calvin Jay Kuo (1 shared paper)Betty Y. Y. Tam (1 shared paper)Daniela Kaufer (1 shared paper)Theo D. Palmer (1 shared paper)Anja Ehrhardt (11 shared papers)Juergen Bode (2 shared papers)
- Journals
- Virology Journal (6 papers)Journal of Virology (4 papers)Human Gene Therapy Methods (4 papers)PLoS Pathogens (2 papers)BMC Biotechnology (2 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Armin E. Baiker
55 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 113
- Developmental Neuroscience 383
- Genetics 648
- Epidemiology 538
- Infectious Diseases 309
- Molecular Biology 1k
Countries citing papers authored by Armin E. Baiker
This map shows the geographic impact of Armin E. Baiker'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 Armin E. Baiker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Armin E. Baiker more than expected).
Fields of papers citing papers by Armin E. Baiker
This network shows the impact of papers produced by Armin E. Baiker. 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 Armin E. Baiker. The network helps show where Armin E. Baiker may publish in the future.
Co-authors
The 25 scholars most cited alongside Armin E. Baiker, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 713 | |
| 2 | 2012 | 369 | |
| 3 | 2005 | 339 | |
| 4 | 1999 | 177 | |
| 5 | 2009 | 149 | |
| 6 | 2004 | 126 | |
| 7 | 2000 | 118 | |
| 8 | 2020 | 113 | |
| 9 | 2010 | 112 | |
| 10 | 2011 | 86 | |
| 11 | 2022 | 78 | |
| 12 | 2001 | 65 | |
| 13 | 2003 | 65 | |
| 14 | 2010 | 63 | |
| 15 | 2008 | 60 | |
| 16 | 2004 | 49 | |
| 17 | 2018 | 46 | |
| 18 | 2021 | 45 | |
| 19 | 2004 | 40 | |
| 20 | 2010 | 40 |
About Armin E. Baiker
Armin E. Baiker is a scholar working on Genetics, Epidemiology, Infectious Diseases, Hepatology and Molecular Biology, having authored 57 papers that have together received 3.3k indexed citations. Recurring topics across this work include Virus-based gene therapy research (17 papers), Herpesvirus Infections and Treatments (14 papers), Hepatitis Viruses Studies and Epidemiology (5 papers), SARS-CoV-2 detection and testing (5 papers), Bioinformatics and Genomic Networks (4 papers), RNA Interference and Gene Delivery (4 papers), Biotin and Related Studies (3 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Developmental Neuroscience (383 citations), Genetics (648 citations), Epidemiology (538 citations), Infectious Diseases (309 citations) and Molecular Biology (1k citations). Armin E. Baiker has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Hans J. Lipps, Klaus S. Fabel, Calvin Jay Kuo, Betty Y. Y. Tam, Daniela Kaufer, Theo D. Palmer, Anja Ehrhardt, Juergen Bode, Christoph Piechaczek and Peter Uetz. Their work appears in journals such as Virology Journal, Journal of Virology, Human Gene Therapy Methods, PLoS Pathogens and BMC Biotechnology.
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.