Uta Schaefer

960 citations
8 papers · 820 · h-index 8

Impact in

  • Immunology top 10%
    • interferon and immune responses
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
    • Phagocytosis and Immune Regulation
    • NF-κB Signaling Pathways

Papers in

    • interferon and immune responses 3
    • Immune Response and Inflammation 2
    • T-cell and B-cell Immunology 1
    • Immune Cell Function and Interaction 1
    • NF-κB Signaling Pathways 3

Uta Schaefer

8 papers receiving 798 citations

Peers

Uta Schaefer
Comparison fields: 5 of 71
  • Immunology 347
  • Cancer Research 154
  • Oncology 192
  • Molecular Biology 518
  • Biotechnology 25
Replace Bernd Matiba with:
Bernd Matiba Germany
Koichiro Ono Japan
Tehila Ben-Moshe Israel
Suxia Liu China
Junji Wada Japan
Liang Song Germany
Meng Hong China
Isabelle Matte Canada
Alexis Scherl United States
Anita Bringmann Germany
Uta Schaefer relative to Bernd Matiba Germany Bernd Matiba's profile →
Citations per field
00.5×5×10×13.3×
Bernd Matiba · 1×
Citations per year

Countries citing papers authored by Uta Schaefer

Since Specialization
Citations

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

Fields of papers citing papers by Uta Schaefer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2009249
2 2008158
3 2010123
4 2007109
5 200985
6 198150
7 200631
8
Alpha-fetoprotein-positive carcinoma of the pancreas: a case report.
200515

About Uta Schaefer

Uta Schaefer is a scholar working on Immunology, Cancer Research, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 8 papers that have together received 820 indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (5 papers), interferon and immune responses (3 papers), NF-κB Signaling Pathways (3 papers), Immune Response and Inflammation (2 papers), T-cell and B-cell Immunology (1 paper), Immune Cell Function and Interaction (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). The work is most often cited by research in Immunology (347 citations), Cancer Research (154 citations), Oncology (192 citations), Molecular Biology (518 citations) and Biotechnology (25 citations). Uta Schaefer has collaborated with scholars based in Germany, United Kingdom and Netherlands. Frequent co-authors include Henning Walczak, Christina Falschlehner, Ronald Koschny, Tom M. Ganten, Erich F. Greiner, Christopher J. Kemp, Anne Große-Wilde, Gary Longton, Oksana Voloshanenko and Günther Schütz. Their work appears in journals such as Advances in experimental medicine and biology, Journal of Clinical Investigation, Gastroenterology, Radiotherapy and Oncology and The Journal of Experimental Medicine.

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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