P.A. Bäuerle

974 citations
7 papers · 815 indexed · h-index 5

Impact in

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

Papers in

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

P.A. Bäuerle

7 papers receiving 788 citations

Peers

P.A. Bäuerle
Comparison fields: 5 of 76
  • Immunology 490
  • Cancer Research 244
  • Oncology 248
  • Hematology 69
  • Biochemistry 30
Replace U Dendorfer with:
U Dendorfer Germany
R Remy Switzerland
Snehal Naik United States
Daohong Chen China
Zhihua Ruan China
Ken-ichiro Kosai Japan
Dongsheng Ping United States
Shrimati Datta United States
Alicia Vara Spain
Marta F. Bustamante Spain
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-authorship network

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 2015199
2 20064
3
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
4
Novel intracellular signaling function of prostaglandin H synthase-1 in NF-kappa B activation.
199528
5 1994269
6 1993285
7 199226

About P.A. Bäuerle

P.A. Bäuerle is a scholar working on Cancer Research, Oncology, Immunology, Pharmacology and Radiology, Nuclear Medicine and Imaging, having authored 7 papers that have together received 815 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), Monoclonal and Polyclonal Antibodies Research (1 paper), T-cell and B-cell Immunology (1 paper), Retinoids in leukemia and cellular processes (1 paper) and RNA regulation and disease (1 paper). The work is most often cited by research in Immunology (490 citations), Cancer Research (244 citations), Oncology (248 citations), Hematology (69 citations) and Biochemistry (30 citations). P.A. Bäuerle has collaborated with scholars based in Germany, Croatia and Norway. Frequent co-authors include M Ströbel, Angela Wedel, Thomas Sternsdorf, G. Riethmüller, Christian Weber, Ralf Schreck, Johannes G. Liese, H.W.L. Ziegler-Heitbrock, B. H. Belohradsky and HW Ziegler-Heitbrock. Their work appears in journals such as Leukemia, The Journal of Immunology, The EMBO Journal, Journal of Biological Chemistry and Blood.

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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