Gerhard Bauer
Impact in
Papers in
-
- RNA Interference and Gene Delivery 22
- CRISPR and Genetic Engineering 15
- Pluripotent Stem Cells Research 7
- Genetics 29
- Virus-based gene therapy research 27
- Mesenchymal stem cell research 9
- Co-authors
- Jan A. Nolta (25 shared papers)John J. Rossi (3 shared papers)Ming-Jie Li (3 shared papers)Nan Sook Lee (1 shared paper)Haitang Li (1 shared paper)Paul M. Salvaterra (1 shared paper)Ali A. Ehsani (1 shared paper)Taikoh Dohjima (1 shared paper)
- Journals
- Molecular Therapy (9 papers)Cytotherapy (4 papers)Blood (4 papers)Investigative Ophthalmology & Visual Science (3 papers)Human Gene Therapy (2 papers)
- Partner nations
- United StatesGermanyAustria
In The Last Decade
Gerhard Bauer
67 papers receiving 4.0k citations
Gerhard Bauer's Hit Papers
Peers
Comparison fields: 5 of 107
- Virology 555
- Genetics 615
- Genetics 1.2k
- Developmental Neuroscience 163
- Molecular Biology 2.6k
Countries citing papers authored by Gerhard Bauer
This map shows the geographic impact of Gerhard Bauer'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 Gerhard Bauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerhard Bauer more than expected).
Fields of papers citing papers by Gerhard Bauer
This network shows the impact of papers produced by Gerhard Bauer. 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 Gerhard Bauer. The network helps show where Gerhard Bauer may publish in the future.
Co-authors
The 25 scholars most cited alongside Gerhard Bauer, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Expression of small interfering RNAs targeted against HIV-1 rev transcripts in human cells Hit paper breakdown → | 2002 | 792 |
| 2 | 2010 | 386 | |
| 3 | 1999 | 338 | |
| 4 | 2011 | 209 | |
| 5 | 1999 | 206 | |
| 6 | Scalable Manufacturing of CAR T Cells for Cancer Immunotherapy Hit paper breakdown → | 2021 | 199 |
| 7 | 2003 | 135 | |
| 8 | 2003 | 131 | |
| 9 | 2010 | 124 | |
| 10 | 2018 | 103 | |
| 11 | 2001 | 100 | |
| 12 | 2016 | 91 | |
| 13 | 1997 | 90 | |
| 14 | 2019 | 75 | |
| 15 | 2012 | 69 | |
| 16 | 1997 | 68 | |
| 17 | 2011 | 66 | |
| 18 | 2005 | 61 | |
| 19 | 2013 | 56 | |
| 20 | 2008 | 56 |
About Gerhard Bauer
Gerhard Bauer is a scholar working on Molecular Biology, Genetics, Genetics, Virology and Oncology, having authored 67 papers that have together received 4.1k indexed citations. Recurring topics across this work include Virus-based gene therapy research (27 papers), RNA Interference and Gene Delivery (22 papers), CRISPR and Genetic Engineering (15 papers), HIV Research and Treatment (10 papers), CAR-T cell therapy research (9 papers), Mesenchymal stem cell research (9 papers), Pluripotent Stem Cells Research (7 papers) and Biomedical Ethics and Regulation (7 papers). The work is most often cited by research in Virology (555 citations), Genetics (615 citations), Genetics (1.2k citations), Developmental Neuroscience (163 citations) and Molecular Biology (2.6k citations). Gerhard Bauer has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Jan A. Nolta, John J. Rossi, Ming-Jie Li, Nan Sook Lee, Haitang Li, Paul M. Salvaterra, Ali A. Ehsani, Taikoh Dohjima, Yunjoon Jung and Geralyn Annett. Their work appears in journals such as Molecular Therapy, Cytotherapy, Blood, Investigative Ophthalmology & Visual Science and Human Gene Therapy.
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.