Anke Huber
Impact in
- Genetics top 10%
- Virus-based gene therapy research
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- RNA Interference and Gene Delivery
- CRISPR and Genetic Engineering
- Viral Infectious Diseases and Gene Expression in Insects
- Retinal Development and Disorders
Papers in
- Genetics 8
- Virus-based gene therapy research 8
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- Viral Infectious Diseases and Gene Expression in Insects 4
- RNA Interference and Gene Delivery 3
- CRISPR and Genetic Engineering 2
- vaccines and immunoinformatics approaches 1
- Co-authors
- Hildegard Büning (8 shared papers)Michael Hallek (7 shared papers)Ulrich Hacker (3 shared papers)Luca Perabò (6 shared papers)Nadja Meumann (1 shared paper)Liang Zhang (1 shared paper)Grant Stuchbury (1 shared paper)Alexander Bürkle (1 shared paper)
- Journals
- Combinatorial Chemistry & High Throughput Screening (2 papers)Molecular Therapy (1 paper)The Journal of Gene Medicine (1 paper)Experimental Hematology (1 paper)Dermatology (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Anke Huber
11 papers receiving 358 citations
Peers
Comparison fields: 5 of 62
- Genetics 246
- Molecular Biology 236
- Oncology 49
- Cardiology and Cardiovascular Medicine 38
- Infectious Diseases 30
Countries citing papers authored by Anke Huber
This map shows the geographic impact of Anke Huber'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 Anke Huber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anke Huber more than expected).
Fields of papers citing papers by Anke Huber
This network shows the impact of papers produced by Anke Huber. 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 Anke Huber. The network helps show where Anke Huber may publish in the future.
Co-authors
The 25 scholars most cited alongside Anke Huber, 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 | 2015 | 91 | |
| 2 | 2009 | 46 | |
| 3 | 2009 | 45 | |
| 4 | 2014 | 43 | |
| 5 | 2017 | 37 | |
| 6 | 2006 | 37 | |
| 7 | 2010 | 16 | |
| 8 | 2008 | 14 | |
| 9 | 2010 | 13 | |
| 10 | 2009 | 13 | |
| 11 | 2008 | 12 |
About Anke Huber
Anke Huber is a scholar working on Genetics, Molecular Biology, Pharmacology, Ecology and Epidemiology, having authored 11 papers that have together received 367 indexed citations. Recurring topics across this work include Virus-based gene therapy research (8 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), RNA Interference and Gene Delivery (3 papers), CRISPR and Genetic Engineering (2 papers), Virology and Viral Diseases (1 paper), vaccines and immunoinformatics approaches (1 paper), Cholinesterase and Neurodegenerative Diseases (1 paper) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Genetics (246 citations), Molecular Biology (236 citations), Oncology (49 citations), Cardiology and Cardiovascular Medicine (38 citations) and Infectious Diseases (30 citations). Anke Huber has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Hildegard Büning, Michael Hallek, Ulrich Hacker, Luca Perabò, Nadja Meumann, Liang Zhang, Grant Stuchbury, Alexander Bürkle, Jim N. Burnell and Gerald Münch. Their work appears in journals such as Combinatorial Chemistry & High Throughput Screening, Molecular Therapy, The Journal of Gene Medicine, Experimental Hematology and Dermatology.
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.