Peter Beimling

441 citations
13 papers · 397 · h-index 6

Impact in

    • T-cell and Retrovirus Studies
    • Protein Kinase Regulation and GTPase Signaling
    • Melanoma and MAPK Pathways
    • Genomics and Chromatin Dynamics
    • Developmental Biology and Gene Regulation

Papers in

    • T-cell and Retrovirus Studies 6
    • Protein Kinase Regulation and GTPase Signaling 5
    • Genomics and Chromatin Dynamics 2
    • RNA and protein synthesis mechanisms 1
    • RNA Research and Splicing 1

Peter Beimling

13 papers receiving 374 citations

Peers

Peter Beimling
Comparison fields: 5 of 43
  • Immunology 148
  • Molecular Biology 196
  • Oncology 69
  • Virology 7
  • Pathology and Forensic Medicine 16
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Citations per field
00.5×2×2.7×
Susan G. Schiffer · 1×
Citations per year

Countries citing papers authored by Peter Beimling

Since Specialization
Citations

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

Fields of papers citing papers by Peter Beimling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 1984214
2
Direct interaction of CREB protein with 21 bp Tax-response elements of HTLV-ILTR.
199267
3 198544
4
Isolation and characterization of the tax protein of HTLV-I.
198925
5 199417
6
Tax-independent binding of multiple cellular factors to Tax-response element DNA of HTLV-I.
199011
7 19946
8 19855
9 19943
10 19862
11 19861
12 19871
13 19941

About Peter Beimling

Peter Beimling is a scholar working on Immunology, Molecular Biology, Oncology, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 13 papers that have together received 397 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (6 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), Genomics and Chromatin Dynamics (2 papers), Cancer-related Molecular Pathways (2 papers), RNA and protein synthesis mechanisms (1 paper), HER2/EGFR in Cancer Research (1 paper) and RNA Research and Splicing (1 paper). The work is most often cited by research in Immunology (148 citations), Molecular Biology (196 citations), Oncology (69 citations), Virology (7 citations) and Pathology and Forensic Medicine (16 citations). Peter Beimling has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Karin Moelling, Ulf Rüdiger Rapp, Thomas Sander, T. Benter, Thomas Sander, Dietrich Simon, Gerald Radziwill, Monika Niehof, Heinz Schaller and Eberhard Pfaff. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of General Virology, Nature, Journal of Cancer Research and Clinical Oncology and Annals of the New York Academy of Sciences.

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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