Imke Beier

457 citations
12 papers · 393 · h-index 8

Impact in

Papers in

    • Immunotherapy and Immune Responses 4
    • Immune Cell Function and Interaction 3
    • T-cell and B-cell Immunology 2
    • CAR-T cell therapy research 2

Imke Beier

12 papers receiving 382 citations

Peers

Imke Beier
Comparison fields: 5 of 56
  • Immunology 99
  • Radiology, Nuclear Medicine and Imaging 81
  • Genetics 38
  • Oncology 87
  • Pathology and Forensic Medicine 58
Replace Eva Mikaelsson with:
Eva Mikaelsson Sweden
Søren M. Johnson United States
Gilberto Serrano de Almeida United Kingdom
Florencia Cayrol Argentina
Bruce B. McCall United States
Arezoo Astanehe Canada
Kazuaki Fushimi Japan
Claude Clément France
Z Zhu United States
Janine Schwamb Germany
Imke Beier relative to Eva Mikaelsson Sweden Eva Mikaelsson's profile →
Citations per field
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Eva Mikaelsson · 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 19 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 2000125
2 201876
3 200153
4 200245
5 199928
6 200724
7 200016
8 20008
9 20007
10 20045
11 20004
12 20132

About Imke Beier

Imke Beier is a scholar working on Immunology, Oncology, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Insect Science, having authored 12 papers that have together received 393 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Protein Kinase Regulation and GTPase Signaling (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 Sphingolipid Metabolism and Signaling (1 paper). The work is most often cited by research in Immunology (99 citations), Radiology, Nuclear Medicine and Imaging (81 citations), Genetics (38 citations), Oncology (87 citations) and Pathology and Forensic Medicine (58 citations). Imke Beier has collaborated with scholars based in Germany. Frequent co-authors include Dimitri Flieger, Tilman Sauerbruch, Hans Vetter, Ingo G. H. Schmidt-Wolf, Udo Klaus Schmitz, Sabine Renoth, Rainer Düsing, Ingo G.H. Schmidt‐Wolf, Dominik Kraus and Helmut Stark. Their work appears in journals such as Journal of Biological Chemistry, Journal of Immunotherapy, Atherosclerosis, Cellular Oncology and Clinical and Experimental Hypertension.

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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