Eva Niederer
Impact in
- Immunology top 10%
- Immune Response and Inflammation
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- T-cell and Retrovirus Studies
- Virology top 10%
- HIV Research and Treatment
Papers in
- Immunology 11
- Immune Cell Function and Interaction 4
- T-cell and B-cell Immunology 3
- T-cell and Retrovirus Studies 3
- Immunotherapy and Immune Responses 3
- Immune Response and Inflammation 3
- Co-authors
- O. Trentz (1 shared paper)U. Ungethüm (1 shared paper)Marius Keel (1 shared paper)Ursula Steckholzer (1 shared paper)Thomas Härtung (1 shared paper)Wolfgang Ertel (1 shared paper)Pascale Anderle (1 shared paper)Hans P. Merkle (1 shared paper)
- Journals
- Veterinary Immunology and Immunopathology (3 papers)Hematological Oncology (2 papers)Cytometry (2 papers)Journal of Virology (1 paper)British Journal of Haematology (1 paper)
- Partner nations
- SwitzerlandGermanyUnited Kingdom
In The Last Decade
Eva Niederer
27 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 91
- Immunology 348
- Virology 71
- Oncology 307
- Dermatology 93
- Pharmaceutical Science 37
Countries citing papers authored by Eva Niederer
This map shows the geographic impact of Eva Niederer'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 Eva Niederer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Niederer more than expected).
Fields of papers citing papers by Eva Niederer
This network shows the impact of papers produced by Eva Niederer. 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 Eva Niederer. The network helps show where Eva Niederer may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Niederer, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 259 | |
| 2 | 1998 | 191 | |
| 3 | 2009 | 145 | |
| 4 | 1986 | 60 | |
| 5 | 2003 | 40 | |
| 6 | 1992 | 38 | |
| 7 | 1999 | 36 | |
| 8 | 2002 | 34 | |
| 9 | 1995 | 34 | |
| 10 | 1998 | 30 | |
| 11 | 1998 | 27 | |
| 12 | 1998 | 25 | |
| 13 | 2010 | 24 | |
| 14 | 1996 | 24 | |
| 15 | 2007 | 23 | |
| 16 | 1997 | 22 | |
| 17 | 1973 | 14 | |
| 18 | 1989 | 12 | |
| 19 | 1996 | 11 | |
| 20 | 1994 | 8 |
About Eva Niederer
Eva Niederer is a scholar working on Immunology, Molecular Biology, Oncology, Genetics and Epidemiology, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), CAR-T cell therapy research (4 papers), T-cell and B-cell Immunology (3 papers), T-cell and Retrovirus Studies (3 papers), Immunotherapy and Immune Responses (3 papers), Cutaneous lymphoproliferative disorders research (3 papers), HIV Research and Treatment (3 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Immunology (348 citations), Virology (71 citations), Oncology (307 citations), Dermatology (93 citations) and Pharmaceutical Science (37 citations). Eva Niederer has collaborated with scholars based in Switzerland, Germany and United Kingdom. Frequent co-authors include O. Trentz, U. Ungethüm, Marius Keel, Ursula Steckholzer, Thomas Härtung, Wolfgang Ertel, Pascale Anderle, Hans P. Merkle, Peter Langguth and H. Spahn‐Langguth. Their work appears in journals such as Veterinary Immunology and Immunopathology, Hematological Oncology, Cytometry, Journal of Virology and British Journal of Haematology.
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.