Caroline Staib

2.4k citations
32 papers · 1.7k indexed · h-index 20

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

    • Poxvirus research and outbreaks 15
    • Herpesvirus Infections and Treatments 12

Caroline Staib

32 papers receiving 1.7k citations

Peers

Caroline Staib
Comparison fields: 5 of 79
  • Virology 604
  • Immunology 924
  • Epidemiology 621
  • Genetics 339
  • Infectious Diseases 182
Replace Brian J. Ferguson with:
Brian J. Ferguson United Kingdom
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Naoko Misawa Japan
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Caroline Staib relative to Brian J. Ferguson United Kingdom Brian J. Ferguson's profile →
Citations per field
00.5×1.5×
Brian J. Ferguson · 1×
Citations per year

Countries citing papers authored by Caroline Staib

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

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

All Works

20 of 20 papers shown
#Work
1 200939
2 20087
3 200824
4 200810
5 200817
6 200725
7 200713
8 200588
9 200578
10 2004135
11 2003151
12 2002128
13 199917
14 19999
15 19998
16 19982
17 19986
18 19979
19 199661
20 199619

About Caroline Staib

Caroline Staib is a scholar working on Virology, Epidemiology, Immunology, Genetics and Oncology, having authored 32 papers that have together received 1.7k indexed citations. Recurring topics across this work include Poxvirus research and outbreaks (15 papers), Herpesvirus Infections and Treatments (12 papers), Virus-based gene therapy research (9 papers), Immunotherapy and Immune Responses (7 papers), DNA Repair Mechanisms (6 papers), Bacillus and Francisella bacterial research (3 papers), Viral-associated cancers and disorders (3 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Virology (604 citations), Immunology (924 citations), Epidemiology (621 citations), Genetics (339 citations) and Infectious Diseases (182 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, Alessandra Mazzoni, Paola Zanovello, Carmela De Santo, Valeria Tosello, David M. Segal and Mario P. Colombo. Their work appears in journals such as Journal of Virology, Journal of General Virology, Vaccine, BioTechniques and Chromosoma.

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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