Peter Bangs

488 citations
9 papers · 404 · h-index 9

Impact in

    • Nuclear Structure and Function
    • RNA Research and Splicing
    • Cell death mechanisms and regulation
    • Genomics and Chromatin Dynamics
    • Mitochondrial Function and Pathology

Papers in

    • Cell death mechanisms and regulation 3
    • RNA Research and Splicing 3
    • Signaling Pathways in Disease 2
    • Nuclear Structure and Function 2
    • Genomics and Chromatin Dynamics 2
    • Hippo pathway signaling and YAP/TAZ 2

Peter Bangs

9 papers receiving 398 citations

Peers

Peter Bangs
Comparison fields: 5 of 67
  • Aging 12
  • Molecular Biology 328
  • Cell Biology 51
  • Immunology 63
  • Clinical Biochemistry 20
Replace Zemfira N. Karamysheva with:
Zemfira N. Karamysheva United States
Anne-Claire Lavigne France
Stéphanie Kervestin France
Nader Ezzeddine United States
David Lam France
Patrick J. Lager United States
Tomasz M. Kuliński Poland
Sayomi Higa Japan
Jim King United States
Despina Xanthakis Netherlands
Peter Bangs relative to Zemfira N. Karamysheva United States Zemfira N. Karamysheva's profile →
Citations per field
00.5×
Zemfira N. Karamysheva · 1×
Citations per year

Countries citing papers authored by Peter Bangs

Since Specialization
Citations

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

Fields of papers citing papers by Peter Bangs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Peter Bangs, 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 Bangs Line = papers co-authored together Peter Bangs links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 199888
2 199668
3 200067
4
The nuclear matrix: defining structural and functional roles.
199160
5 200436
6 200036
7 199625
8 199315
9 20019

About Peter Bangs

Peter Bangs is a scholar working on Molecular Biology, Cell Biology, Immunology, Cardiology and Cardiovascular Medicine and Infectious Diseases, having authored 9 papers that have together received 404 indexed citations. Recurring topics across this work include Invertebrate Immune Response Mechanisms (3 papers), Cell death mechanisms and regulation (3 papers), RNA Research and Splicing (3 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Phagocytosis and Immune Regulation (2 papers), Signaling Pathways in Disease (2 papers), Nuclear Structure and Function (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Aging (12 citations), Molecular Biology (328 citations), Cell Biology (51 citations), Immunology (63 citations) and Clinical Biochemistry (20 citations). Peter Bangs has collaborated with scholars based in United States and Canada. Frequent co-authors include Kristin White, Paul R. Odgren, Edward G. Fey, Brian Burke, Aruna Purohit, E G Fey, Caroline A. Sparks, Stephen Doxsey, Christine Powers and R K Craig. Their work appears in journals such as The Journal of Cell Biology, Journal of Cellular Biochemistry, Journal of Biological Chemistry, Journal of Cell Science and Genomics.

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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