Andreas Rühlmann

479 citations
15 papers · 406 · h-index 11

Impact in

    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Signaling Pathways in Disease
    • Protein Structure and Dynamics
    • RNA and protein synthesis mechanisms
    • RNA Research and Splicing

Papers in

    • Signaling Pathways in Disease 3
    • RNA and protein synthesis mechanisms 3
    • RNA Interference and Gene Delivery 2
    • T-cell and B-cell Immunology 3
    • Immune Response and Inflammation 2

Andreas Rühlmann

14 papers receiving 383 citations

Peers

Andreas Rühlmann
Comparison fields: 5 of 79
  • Immunology 84
  • Molecular Biology 249
  • Transplantation 8
  • Oncology 59
  • Physiology 9
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Citations per field
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Citations per year

Countries citing papers authored by Andreas Rühlmann

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Rühlmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 199772
2 197268
3 199248
4 199036
5 200836
6 199933
7 199730
8 199927
9 199919
10
Cyclosporin A blocks the expression of lymphotoxin alpha, but not lymphotoxin beta, in human peripheral blood mononuclear cells.
200218
11 199011
12 19974
13 20012
14 19721
15
Cyclosporin A Blocks PMA and Ionomycin Activated Lymphotoxin Expression in a Human T-Cell Line.
20011

About Andreas Rühlmann

Andreas Rühlmann is a scholar working on Molecular Biology, Immunology, Genetics, Cancer Research and Oncology, having authored 15 papers that have together received 406 indexed citations. Recurring topics across this work include Signaling Pathways in Disease (3 papers), RNA and protein synthesis mechanisms (3 papers), Bacterial Genetics and Biotechnology (3 papers), NF-κB Signaling Pathways (3 papers), T-cell and B-cell Immunology (3 papers), RNA Interference and Gene Delivery (2 papers), Enzyme Production and Characterization (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Immunology (84 citations), Molecular Biology (249 citations), Transplantation (8 citations), Oncology (59 citations) and Physiology (9 citations). Andreas Rühlmann has collaborated with scholars based in Germany, United States and Russia. Frequent co-authors include Alfred Nordheim, W. Steigemann, R. Huber, D. Kukla, Friedrich Cramer, Christoph M. Ahlers, Jaime Sancho, Cox Terhorst, Craig G. Hall and Uwe Englisch. Their work appears in journals such as European Journal of Biochemistry, Cold Spring Harbor Symposia on Quantitative Biology, Gene, Immunobiology and The EMBO Journal.

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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