Birgit Strobl

6.9k citations
97 papers · 4.6k indexed · h-index 38
  • Immunology top 1%
    • interferon and immune responses 27
    • Immune Cell Function and Interaction 24
    • Immune Response and Inflammation 17
    • IL-33, ST2, and ILC Pathways 8
    • Immune cells in cancer 6
    • T-cell and B-cell Immunology 5
  • Oncology top 2%
    • Cytokine Signaling Pathways and Interactions 43
    • NF-κB Signaling Pathways 6

Birgit Strobl

95 papers receiving 4.6k citations

Peers

Birgit Strobl
Comparison fields: 5 of 125
  • Immunology 2.0k
  • Oncology 1.4k
  • Molecular Biology 1.8k
  • Cancer Research 384
  • Infectious Diseases 430
Replace Rosalba Salcedo with:
Rosalba Salcedo United States
Johannes Stöckl Austria
Tadaaki Miyazaki Japan
Clemens Neufert Germany
Jörg Mages Germany
Christoph Mueller Switzerland
Clara Abraham United States
Sidong Xiong China
Maya Saleh Canada
Wendy T. Watford United States
Birgit Strobl relative to Rosalba Salcedo United States Rosalba Salcedo's profile →
Citations per field
00.5×
Rosalba Salcedo · 1×
Citations per year

Countries citing papers authored by Birgit Strobl

Since Specialization
Citations

This map shows the geographic impact of Birgit Strobl'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 Birgit Strobl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Birgit Strobl more than expected).

Fields of papers citing papers by Birgit Strobl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Birgit Strobl. 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 Birgit Strobl. The network helps show where Birgit Strobl may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Birgit Strobl, 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 Birgit Strobl Line = papers co-authored together Birgit Strobl links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20245
3 202112
4 2021100
5 202121
6 202115
7 202054
8 2016123
9 201672
10 2015193
11 2014156
12 201253
13 201012
14 200986
15 200935
16 200324
17 20029
18 200129
19 1998243
20 199842

About Birgit Strobl

Birgit Strobl is a scholar working on Immunology, Oncology, Cancer Research, Virology and Epidemiology, having authored 97 papers that have together received 4.6k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (43 papers), interferon and immune responses (27 papers), Immune Cell Function and Interaction (24 papers), Immune Response and Inflammation (17 papers), IL-33, ST2, and ILC Pathways (8 papers), Immune cells in cancer (6 papers), NF-κB Signaling Pathways (6 papers) and T-cell and B-cell Immunology (5 papers). The work is most often cited by research in Immunology (2.0k citations), Oncology (1.4k citations), Molecular Biology (1.8k citations), Cancer Research (384 citations) and Infectious Diseases (430 citations). Birgit Strobl has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Mathias Müller, Günther Kreil, Günter Lepperdinger, Thomas Decker, Valeria Poli, Sabine Macho‐Maschler, Ian M. Kerr, Katrin Meissl, Ana P. Costa‐Pereira and Lukas Kenner. Their work appears in journals such as The Journal of Immunology, Frontiers in Immunology, Cytokine, Journal of Virology and Journal of Biological Chemistry.

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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