Iris Ferber
Impact in
- Immunology top 2%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Psoriasis: Treatment and Pathogenesis
- Immune Response and Inflammation
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- Multiple Sclerosis Research Studies
Papers in
-
- T-cell and B-cell Immunology 5
- Immune Cell Function and Interaction 4
- Immunotherapy and Immune Responses 3
- Oncology 3
- Co-authors
- Stefan Brocke (2 shared papers)C. Garrison Fathman (2 shared papers)Lawrence Steinman (2 shared papers)Cariel Taylor-Edwards (1 shared paper)Dyana K. Dalton (1 shared paper)William M. Ridgway (1 shared paper)Bernd Arnold (3 shared papers)Günther Schönrich (3 shared papers)
- Journals
- Cold Spring Harbor Symposia on Quantitative Biology (1 paper)Stem Cells (1 paper)Biochemical and Biophysical Research Communications (1 paper)The Journal of Immunology (1 paper)Nature (1 paper)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Iris Ferber
9 papers receiving 1.9k citations
Iris Ferber's Hit Papers
Peers
Comparison fields: 5 of 88
- Immunology 1.2k
- Pathology and Forensic Medicine 269
- Oncology 374
- Neurology 91
- Rheumatology 146
Countries citing papers authored by Iris Ferber
This map shows the geographic impact of Iris Ferber'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 Iris Ferber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iris Ferber more than expected).
Fields of papers citing papers by Iris Ferber
This network shows the impact of papers produced by Iris Ferber. 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 Iris Ferber. The network helps show where Iris Ferber may publish in the future.
Co-authors
The 25 scholars most cited alongside Iris Ferber, 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 | Mice with a disrupted IFN-γ gene are susceptible to the induction of experimental autoimmune encephalomyelitis (EAE) Hit paper breakdown → | 1996 | 819 |
| 2 | 1996 | 344 | |
| 3 | 2004 | 294 | |
| 4 | 1994 | 202 | |
| 5 | 1999 | 143 | |
| 6 | 1993 | 84 | |
| 7 | 1993 | 80 | |
| 8 | 1999 | 10 | |
| 9 | 1994 | 3 |
About Iris Ferber
Iris Ferber is a scholar working on Immunology, Oncology, Molecular Biology, Rheumatology and Cellular and Molecular Neuroscience, having authored 9 papers that have together received 2.0k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (4 papers), Immunotherapy and Immune Responses (3 papers), Allergic Rhinitis and Sensitization (1 paper), Glycosylation and Glycoproteins Research (1 paper), Pluripotent Stem Cells Research (1 paper), Diabetes and associated disorders (1 paper) and Neuroendocrine Tumor Research Advances (1 paper). The work is most often cited by research in Immunology (1.2k citations), Pathology and Forensic Medicine (269 citations), Oncology (374 citations), Neurology (91 citations) and Rheumatology (146 citations). Iris Ferber has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Stefan Brocke, C. Garrison Fathman, Lawrence Steinman, Cariel Taylor-Edwards, Dyana K. Dalton, William M. Ridgway, Bernd Arnold, Günther Schönrich, Günter J. Hämmerling and Anne O’Garra. Their work appears in journals such as Cold Spring Harbor Symposia on Quantitative Biology, Stem Cells, Biochemical and Biophysical Research Communications, The Journal of Immunology and Nature.
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.