Imke Beier

455 citations
12 papers · 371 · h-index 8

Impact in

    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • CAR-T cell therapy research

Papers in

    • Protein Kinase Regulation and GTPase Signaling 4
    • PI3K/AKT/mTOR signaling in cancer 4
    • Immunotherapy and Immune Responses 4
    • Immune Cell Function and Interaction 3
    • T-cell and B-cell Immunology 2

Imke Beier

12 papers receiving 363 citations

Peers

Imke Beier
Comparison fields: 5 of 58
  • Immunology 110
  • Oncology 112
  • Pathology and Forensic Medicine 73
  • Radiology, Nuclear Medicine and Imaging 89
  • Genetics 41
Replace Aurelia Lamanuzzi with:
Aurelia Lamanuzzi Italy
Søren M. Johnson United States
Beatriz Somovilla-Crespo Spain
Janine Schwamb Germany
María J. García‐Barchino Spain
Tousei Ohmura Japan
Carlos R. Gil Del Alcazar United States
Prasad Kanteti United States
Shinichi Umeda Japan
Nina Sausgruber Switzerland
Imke Beier relative to Aurelia Lamanuzzi Italy Aurelia Lamanuzzi's profile →
Citations per field
00.5×
Aurelia Lamanuzzi · 1×
Citations per year

Countries citing papers authored by Imke Beier

Since Specialization
Citations

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

Fields of papers citing papers by Imke Beier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Imke Beier, 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 Imke Beier Line = papers co-authored together Imke Beier links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2000117
2 201868
3 200149
4 200244
5 199928
6 200723
7 200016
8 20008
9 20007
10 20045
11 20004
12 20132

About Imke Beier

Imke Beier is a scholar working on Molecular Biology, Immunology, Oncology, Radiology, Nuclear Medicine and Imaging and Computational Mechanics, having authored 12 papers that have together received 371 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (4 papers), Immunotherapy and Immune Responses (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Immune Cell Function and Interaction (3 papers), CAR-T cell therapy research (2 papers), T-cell and B-cell Immunology (2 papers) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Immunology (110 citations), Oncology (112 citations), Pathology and Forensic Medicine (73 citations), Radiology, Nuclear Medicine and Imaging (89 citations) and Genetics (41 citations). Imke Beier has collaborated with scholars based in Germany. Frequent co-authors include Tilman Sauerbruch, Dimitri Flieger, H. Vetter, Udo K. Schmitz, Sabine Renoth, Ingo Schmidt‐Wolf, Rainer Düsing, Ingo G.H. Schmidt‐Wolf, Helmut Stark and Jochen Winter. Their work appears in journals such as Journal of Biological Chemistry, Cellular Oncology, Atherosclerosis, Cancer Immunology Immunotherapy and Cytokine.

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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