P.A. Bäuerle

980 citations
7 papers · 817 · h-index 5

Impact in

  • Immunology top 5%
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • Immunotherapy and Immune Responses
    • NF-κB Signaling Pathways

Papers in

    • Cytokine Signaling Pathways and Interactions 3
    • CAR-T cell therapy research 2
    • Cancer Immunotherapy and Biomarkers 1
    • NF-κB Signaling Pathways 4

P.A. Bäuerle

7 papers receiving 791 citations

Peers

P.A. Bäuerle
Comparison fields: 5 of 71
  • Immunology 463
  • Cancer Research 227
  • Oncology 227
  • Hematology 61
  • Biochemistry 28
Replace U Dendorfer with:
U Dendorfer Germany
Enyu Rao United States
R Remy Switzerland
Dongsheng Ping United States
Daohong Chen China
Norma Llansa United States
Ken-ichiro Kosai Japan
Ivan Mattioli Switzerland
Weicheng Wu China
Shrimati Datta United States
P.A. Bäuerle relative to U Dendorfer Germany U Dendorfer's profile →
Citations per field
00.5×
U Dendorfer · 1×
Citations per year

Countries citing papers authored by P.A. Bäuerle

Since Specialization
Citations

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

Fields of papers citing papers by P.A. Bäuerle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P.A. Bäuerle. 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 P.A. Bäuerle. The network helps show where P.A. Bäuerle may publish in the future.

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 1993285
2 1994269
3 2015201
4
Novel intracellular signaling function of prostaglandin H synthase-1 in NF-kappa B activation.
199528
5 199226
6 20064
7
Conserved high-affinity NF-kappa B binding site in the interferon regulatory factor-1 promoter is not occupied by NF-kappa B in vivo and is transcriptionally inactive.
19954

About P.A. Bäuerle

P.A. Bäuerle is a scholar working on Oncology, Cancer Research, Immunology, Molecular Biology and Pharmacology, having authored 7 papers that have together received 817 indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), Inflammatory mediators and NSAID effects (2 papers), CAR-T cell therapy research (2 papers), Cancer Immunotherapy and Biomarkers (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper), Immune Cell Function and Interaction (1 paper) and Immune Response and Inflammation (1 paper). The work is most often cited by research in Immunology (463 citations), Cancer Research (227 citations), Oncology (227 citations), Hematology (61 citations) and Biochemistry (28 citations). P.A. Bäuerle has collaborated with scholars based in Germany, Norway and United States. Frequent co-authors include M Ströbel, Thomas Sternsdorf, Angela Wedel, G. Riethmüller, Johannes G. Liese, Christian Weber, Ralf Schreck, B. H. Belohradsky, H.W.L. Ziegler-Heitbrock and Juergen Haas. Their work appears in journals such as Blood, The EMBO Journal, The Journal of Immunology, Journal of Biological Chemistry and Leukemia.

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.

Explore authors with similar magnitude of impact