Iris Ferber

2.3k citations
8 papers · 2k · 1 hit paper · h-index 7

Impact in

Papers in

Iris Ferber

8 papers receiving 1.9k citations

Iris Ferber's Hit Papers

Mice with a disrupted IFN-γ gene are susceptible to the induction of experimental autoimmune encephalomyelitis (EAE) 1996 · 824 citations
8240+10+20Years since publication250500750

Peers

Iris Ferber
Comparison fields: 5 of 70
  • Immunology 776
  • Pathology and Forensic Medicine 593
  • Genetics 62
  • Rheumatology 91
  • Neurology 43
Replace Nicolas Molnarfi with:
Nicolas Molnarfi Switzerland
Mahdia Benkhoucha Switzerland
Kathrine E. Attfield United Kingdom
Mark Allegretta United States
Caryl L. Lane United States
Srinivas Shankara United States
Patrick Charmley United States
Yoshiaki Sohma Japan
Thomas M. C. Binder Germany
Silvia Musio Italy
Iris Ferber relative to Nicolas Molnarfi Switzerland Nicolas Molnarfi's profile →
Citations per field
00.5×1.5×2×2.4×
Nicolas Molnarfi · 1×
Citations per year

Countries citing papers authored by Iris Ferber

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Iris Ferber Line = papers co-authored together Iris Ferber links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
Mice with a disrupted IFN-γ gene are susceptible to the induction of experimental autoimmune encephalomyelitis (EAE)
Hit paper breakdown →
1996824
2 1996339
3 2004299
4 1994198
5 1999143
6 199387
7 199379
8 19943

About Iris Ferber

Iris Ferber is a scholar working on Immunology, Pathology and Forensic Medicine, Cellular and Molecular Neuroscience, Molecular Biology and Nuclear Energy and Engineering, having authored 8 papers that have together received 2k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Multiple Sclerosis Research Studies (2 papers), Receptor Mechanisms and Signaling (1 paper), Pluripotent Stem Cells Research (1 paper) and Neuropeptides and Animal Physiology (1 paper). The work is most often cited by research in Immunology (776 citations), Pathology and Forensic Medicine (593 citations), Genetics (62 citations), Rheumatology (91 citations) and Neurology (43 citations). Iris Ferber has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include C. Garrison Fathman, Stefan Brocke, Lawrence Steinman, Dyana K. Dalton, William M. Ridgway, Cariel Taylor-Edwards, Bernd Arnold, Günther Schönrich, Günter Joachim Hämmerling and Anne O’Garra. Their work appears in journals such as Stem Cells, Immunological Reviews, Biochemical and Biophysical Research Communications, Nature and Science.

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.

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