T Friedmann
Impact in
Papers in
-
- CRISPR and Genetic Engineering 3
- RNA Interference and Gene Delivery 3
- RNA and protein synthesis mechanisms 2
- Viral Infectious Diseases and Gene Expression in Insects 1
- Genetics 6
- Virus-based gene therapy research 6
- Animal Genetics and Reproduction 2
- Co-authors
- J K Yee (1 shared paper)Jane C. Burns (1 shared paper)Michelle Burrascano (1 shared paper)Wolfgang Driever (1 shared paper)Klaus Roemer (1 shared paper)Shantanu Sharma (2 shared papers)T J Kipps (1 shared paper)Atsushi Miyanohara (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Journal of Lipid Research (1 paper)Current Opinion in Biotechnology (1 paper)European Journal of Biochemistry (1 paper)Blood (1 paper)
- Partner nations
- United States
In The Last Decade
T Friedmann
9 papers receiving 1.4k citations
T Friedmann's Hit Papers
Peers
Comparison fields: 5 of 80
- Virology 179
- Genetics 1.0k
- Molecular Biology 989
- Infectious Diseases 183
- Oncology 214
Countries citing papers authored by T Friedmann
This map shows the geographic impact of T Friedmann'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 T Friedmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Friedmann more than expected).
Fields of papers citing papers by T Friedmann
This network shows the impact of papers produced by T Friedmann. 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 T Friedmann. The network helps show where T Friedmann may publish in the future.
Co-authors
The 13 scholars most cited alongside T Friedmann, 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 | Vesicular stomatitis virus G glycoprotein pseudotyped retroviral vectors: concentration to very high titer and efficient gene transfer into mammalian and nonmammalian cells. Hit paper breakdown → | 1993 | 1194 |
| 2 | 1996 | 79 | |
| 3 | 1992 | 69 | |
| 4 | 1988 | 49 | |
| 5 | 1996 | 43 | |
| 6 | 1971 | 28 | |
| 7 | 1990 | 27 | |
| 8 | 1991 | 13 | |
| 9 | Genetically modified tumor-infiltrating lymphocytes for cancer therapy. | 1991 | 7 |
About T Friedmann
T Friedmann is a scholar working on Molecular Biology, Genetics, Oncology, Surgery and Ecology, having authored 9 papers that have together received 1.5k indexed citations. Recurring topics across this work include Virus-based gene therapy research (6 papers), CRISPR and Genetic Engineering (3 papers), CAR-T cell therapy research (3 papers), RNA Interference and Gene Delivery (3 papers), Animal Genetics and Reproduction (2 papers), RNA and protein synthesis mechanisms (2 papers), Lipoproteins and Cardiovascular Health (1 paper) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). The work is most often cited by research in Virology (179 citations), Genetics (1.0k citations), Molecular Biology (989 citations), Infectious Diseases (183 citations) and Oncology (214 citations). T Friedmann has collaborated with scholars based in United States. Frequent co-authors include J K Yee, Jane C. Burns, Michelle Burrascano, Wolfgang Driever, Klaus Roemer, Shantanu Sharma, T J Kipps, Atsushi Miyanohara, Thomas J. Kipps and Marie M. Cantwell. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Lipid Research, Current Opinion in Biotechnology, European Journal of Biochemistry and Blood.
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.