Gerd Maass
- Immunology top 10%
- Immunotherapy and Immune Responses 9
- T-cell and B-cell Immunology 2
- Immune Cell Function and Interaction 2
- Oncology top 10%
- CAR-T cell therapy research 5
- Genetics top 10%
- Virus-based gene therapy research 5
- Agronomy and Crop Science top 10%
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- RNA Interference and Gene Delivery 3
- vaccines and immunoinformatics approaches 2
- Viral Infectious Diseases and Gene Expression in Insects 2
- Co-authors
- Max L. BirnstielWolfgang SchmidtM BergerTamás SchweighofferF. SchilcherM. PedrocchiJosef RüschoffKurt Beyser
- Cited by
- ImmunologyOncologyGenetics
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Human Gene Therapy (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Gerd Maass
12 papers receiving 637 citations
Peers
Comparison fields: 5 of 47
- Immunology 268
- Oncology 285
- Genetics 200
- Agronomy and Crop Science 72
- Biotechnology 47
Countries citing papers authored by Gerd Maass
This map shows the geographic impact of Gerd Maass'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 Gerd Maass with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerd Maass more than expected).
Fields of papers citing papers by Gerd Maass
This network shows the impact of papers produced by Gerd Maass. 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 Gerd Maass. The network helps show where Gerd Maass may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gerd Maass, 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 | HER2 status in non-small cell lung cancer: results from patient screening for enrollment to a phase II study of herceptin. | 2003 | 146 |
| 2 | 1997 | 11 | |
| 3 | 1997 | 3 | |
| 4 | 1997 | 36 | |
| 5 | 1996 | 29 | |
| 6 | 1995 | 76 | |
| 7 | 1995 | 103 | |
| 8 | 1995 | 4 | |
| 9 | 1995 | 83 | |
| 10 | 1994 | 76 | |
| 11 | Genetic modification of cells by receptor-mediated adenovirus-augmented gene delivery: a new approach for immunotherapy of cancer. | 1994 | 3 |
| 12 | 1990 | 87 |
About Gerd Maass
Gerd Maass is a scholar working on Immunology, Oncology, Genetics, Molecular Biology and Agronomy and Crop Science, having authored 12 papers that have together received 657 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (9 papers), Virus-based gene therapy research (5 papers), CAR-T cell therapy research (5 papers), RNA Interference and Gene Delivery (3 papers), vaccines and immunoinformatics approaches (2 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). The work is most often cited by research in Immunology (268 citations), Oncology (285 citations), Genetics (200 citations), Agronomy and Crop Science (72 citations) and Biotechnology (47 citations). Gerd Maass has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Max L. Birnstiel, Wolfgang Schmidt, M Berger, Tamás Schweighoffer, F. Schilcher, M. Pedrocchi, Josef Rüschoff, Kurt Beyser, Petra Heinmöller and Ernst Wagner. Their work appears in journals such as Proceedings of the National Academy of Sciences, Human Gene Therapy, The Journal of Immunology, Gene Therapy and Virology.
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.