Gerald Aichinger
Impact in
- Immunology top 5%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Infectious Diseases top 5%
Papers in
- Immunology 15
- Immune Cell Function and Interaction 9
- Immunotherapy and Immune Responses 8
- T-cell and B-cell Immunology 7
-
- SARS-CoV-2 and COVID-19 Research 8
- Viral Infections and Vectors 4
- Co-authors
- Eytan RazDenise LewMichelle A. YankauckasSuezanne E. ParkerS H GromkowskiTyler ParrA. M. AbaiManmohan Singh
- Journals
- Vaccine (7 papers)Clinical and Vaccine Immunology (4 papers)Proceedings of the National Academy of Sciences (2 papers)Clinical Infectious Diseases (1 paper)Biochemical Society Transactions (1 paper)
- Partner nations
- AustriaUnited StatesUnited Kingdom
In The Last Decade
Gerald Aichinger
31 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 66
- Immunology 647
- Infectious Diseases 254
- Epidemiology 397
- Virology 47
- Parasitology 62
Countries citing papers authored by Gerald Aichinger
This map shows the geographic impact of Gerald Aichinger'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 Gerald Aichinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerald Aichinger more than expected).
Fields of papers citing papers by Gerald Aichinger
This network shows the impact of papers produced by Gerald Aichinger. 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 Gerald Aichinger. The network helps show where Gerald Aichinger may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gerald Aichinger, 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 | 2014 | 32 | |
| 2 | 2014 | 7 | |
| 3 | 2014 | 9 | |
| 4 | 2013 | 24 | |
| 5 | 2012 | 14 | |
| 6 | 2012 | 22 | |
| 7 | 2011 | 30 | |
| 8 | 2011 | 22 | |
| 9 | 2011 | 21 | |
| 10 | 2011 | 1 | |
| 11 | 2011 | 76 | |
| 12 | 2010 | 18 | |
| 13 | 2010 | 25 | |
| 14 | 2003 | 35 | |
| 15 | 1998 | 19 | |
| 16 | 1998 | 30 | |
| 17 | 1997 | 35 | |
| 18 | 1996 | 71 | |
| 19 | 1991 | 23 | |
| 20 | In situ immune complexes, lymphocyte subpopulations, and HLA-DR-positive epithelial cells in Hashimoto thyroiditis. | 1985 | 99 |
About Gerald Aichinger
Gerald Aichinger is a scholar working on Immunology, Infectious Diseases, Epidemiology, Physiology and Modeling and Simulation, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (12 papers), Immune Cell Function and Interaction (9 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Immunotherapy and Immune Responses (8 papers), T-cell and B-cell Immunology (7 papers), Respiratory viral infections research (6 papers), Viral Infections and Vectors (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Immunology (647 citations), Infectious Diseases (254 citations), Epidemiology (397 citations), Virology (47 citations) and Parasitology (62 citations). Gerald Aichinger has collaborated with scholars based in Austria, United States and United Kingdom. Frequent co-authors include Eytan Raz, Denise Lew, Michelle A. Yankauckas, Suezanne E. Parker, S H Gromkowski, Tyler Parr, A. M. Abai, Manmohan Singh, Dennis A. Carson and Robert I. Lechler. Their work appears in journals such as Vaccine, Clinical and Vaccine Immunology, Proceedings of the National Academy of Sciences, Clinical Infectious Diseases and Biochemical Society Transactions.
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.