Caroline Staib
Impact in
- Virology top 1%
- Poxvirus research and outbreaks
- Immunology top 2%
- Immunotherapy and Immune Responses
- Immune cells in cancer
- Immune Cell Function and Interaction
- Immune Response and Inflammation
Papers in
- Virology 16
- Poxvirus research and outbreaks 15
- Epidemiology 13
- Herpesvirus Infections and Treatments 11
- Co-authors
- Gerd Sutter (21 shared papers)Ingo Drexler (4 shared papers)Volker Erfle (9 shared papers)Marianne Löwel (2 shared papers)Paola Zanovello (1 shared paper)Valeria Tosello (1 shared paper)Alessandra Mazzoni (1 shared paper)Ilaria Marigo (1 shared paper)
- Journals
- Journal of Virology (4 papers)Journal of General Virology (3 papers)The Journal of Gene Medicine (2 papers)The Journal of Immunology (2 papers)BioTechniques (2 papers)
- Partner nations
- GermanyFranceUnited States
In The Last Decade
Caroline Staib
32 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 80
- Virology 626
- Immunology 912
- Epidemiology 594
- Genetics 327
- Oncology 255
Countries citing papers authored by Caroline Staib
This map shows the geographic impact of Caroline Staib'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 Caroline Staib with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caroline Staib more than expected).
Fields of papers citing papers by Caroline Staib
This network shows the impact of papers produced by Caroline Staib. 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 Caroline Staib. The network helps show where Caroline Staib may publish in the future.
Co-authors
The 25 scholars most cited alongside Caroline Staib, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 429 | |
| 2 | 2003 | 160 | |
| 3 | 2004 | 140 | |
| 4 | 2002 | 138 | |
| 5 | 2005 | 89 | |
| 6 | 2003 | 88 | |
| 7 | 2004 | 84 | |
| 8 | 2005 | 82 | |
| 9 | 2000 | 76 | |
| 10 | 1996 | 61 | |
| 11 | 2003 | 57 | |
| 12 | 2005 | 45 | |
| 13 | 2009 | 39 | |
| 14 | 2003 | 37 | |
| 15 | 2006 | 32 | |
| 16 | 2007 | 28 | |
| 17 | 2004 | 27 | |
| 18 | 2008 | 25 | |
| 19 | 1996 | 22 | |
| 20 | 2003 | 20 |
About Caroline Staib
Caroline Staib is a scholar working on Virology, Epidemiology, Molecular Biology, Genetics and Immunology, having authored 32 papers that have together received 1.8k indexed citations. Recurring topics across this work include Poxvirus research and outbreaks (15 papers), Herpesvirus Infections and Treatments (11 papers), Virus-based gene therapy research (9 papers), Immunotherapy and Immune Responses (7 papers), DNA Repair Mechanisms (6 papers), Genomics and Chromatin Dynamics (3 papers), Immune Response and Inflammation (3 papers) and Bacillus and Francisella bacterial research (3 papers). The work is most often cited by research in Virology (626 citations), Immunology (912 citations), Epidemiology (594 citations), Genetics (327 citations) and Oncology (255 citations). Caroline Staib has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Gerd Sutter, Ingo Drexler, Volker Erfle, Marianne Löwel, Paola Zanovello, Valeria Tosello, Alessandra Mazzoni, Ilaria Marigo, Carmela De Santo and Mario P. Colombo. Their work appears in journals such as Journal of Virology, Journal of General Virology, The Journal of Gene Medicine, The Journal of Immunology and BioTechniques.
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.