André Lieber
- Genetics top 0.05%
- Virus-based gene therapy research 146
- Oncology top 0.5%
- CAR-T cell therapy research 60
- Molecular Biology top 0.5%
- Viral Infectious Diseases and Gene Expression in Insects 60
- RNA Interference and Gene Delivery 40
- CRISPR and Genetic Engineering 38
- Infectious Diseases top 0.5%
- Viral gastroenteritis research and epidemiology 19
- Biotechnology top 0.5%
- Cancer Research and Treatments 16
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- Immunotherapy and Immune Responses 17
- Co-authors
- Dmitry M. ShayakhmetovAnuj GaggarShaoheng NiMark A. KayZong-Yi LiRobert StraussDirk S. SteinwaerderThalia Papayannopoulou
- Cited by
- GeneticsOncologyMolecular Biology
- Partner nations
- United StatesGermanyFrance
In The Last Decade
André Lieber
204 papers receiving 10.2k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Genetics 6.9k
- Oncology 3.6k
- Molecular Biology 6.6k
- Infectious Diseases 1.8k
- Biotechnology 793
Countries citing papers authored by André Lieber
This map shows the geographic impact of André Lieber'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 André Lieber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites André Lieber more than expected).
Fields of papers citing papers by André Lieber
This network shows the impact of papers produced by André Lieber. 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 André Lieber. The network helps show where André Lieber may publish in the future.
Co-authorship network
The 25 scholars most cited alongside André Lieber, 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 | 2024 | 7 | |
| 2 | 2024 | 4 | |
| 3 | 2023 | 51 | |
| 4 | 2022 | 2 | |
| 5 | 2022 | 24 | |
| 6 | 2022 | 5 | |
| 7 | 2021 | 29 | |
| 8 | 2021 | 17 | |
| 9 | 2019 | 16 | |
| 10 | 2016 | 84 | |
| 11 | 2012 | 53 | |
| 12 | 2011 | 69 | |
| 13 | Biodistribution and retargeting of FX-binding ablated Ad5 vectors | 2010 | 1 |
| 14 | 2010 | 61 | |
| 15 | 2010 | 170 | |
| 16 | 2009 | 119 | |
| 17 | 2009 | 57 | |
| 18 | 2007 | 75 | |
| 19 | 2005 | 43 | |
| 20 | 1995 | 42 |
About André Lieber
André Lieber is a scholar working on Genetics, Oncology and Biotechnology, having authored 209 papers that have together received 10.4k indexed citations. Recurring topics across this work include Virus-based gene therapy research (146 papers), Viral Infectious Diseases and Gene Expression in Insects (60 papers), CAR-T cell therapy research (60 papers), RNA Interference and Gene Delivery (40 papers), CRISPR and Genetic Engineering (38 papers), Viral gastroenteritis research and epidemiology (19 papers), Immunotherapy and Immune Responses (17 papers) and Cancer Research and Treatments (16 papers). The work is most often cited by research in Genetics (6.9k citations), Oncology (3.6k citations) and Molecular Biology (6.6k citations). André Lieber has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Dmitry M. Shayakhmetov, Anuj Gaggar, Shaoheng Ni, Mark A. Kay, Zong-Yi Li, Robert Strauss, Dirk S. Steinwaerder, Thalia Papayannopoulou, Hongjie Wang and Mike Strauss. Their work appears in journals such as Journal of Virology, Molecular Therapy, Blood, Human Gene Therapy and Molecular Therapy — Methods & Clinical Development.
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.