Margaret Grimaldi

681 citations
13 papers · 568 · h-index 10

Impact in

Papers in

    • Ubiquitin and proteasome pathways 3
    • DNA Repair Mechanisms 2
    • RNA Research and Splicing 2
    • Cancer-related Molecular Pathways 6

Margaret Grimaldi

13 papers receiving 558 citations

Peers

Margaret Grimaldi
Comparison fields: 5 of 55
  • Cell Biology 125
  • Oncology 179
  • Molecular Biology 473
  • Biotechnology 40
  • Cancer Research 46
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H Ogino Japan
Carrol Terleth Netherlands
Christopher J. Norbury United Kingdom
Ilana Braunstein Israel
Masayuki Miura Japan
Josephine E. Sutcliffe United Kingdom
Maria Frangou‐Lazaridis Greece
Xiaobo Chen China
K. L. Satya‐Prakash United States
Gu Xiao United States
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Citations per field
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Citations per year

Countries citing papers authored by Margaret Grimaldi

Since Specialization
Citations

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

Fields of papers citing papers by Margaret Grimaldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2004157
2
p53 interacts with p34cdc2 in mammalian cells: implications for cell cycle control and oncogenesis.
1990146
3 201692
4 200463
5 200924
6 200818
7
A human tumour-derived mutant p53 protein induces a p34cdc2 reversible growth arrest in fission yeast.
199116
8 199314
9 198212
10 200911
11 19817
12
Selective loss of endogenous p21waf1/cip1 induction underlies the G1 checkpoint defect of monomeric p53 proteins.
19967
13 19891

About Margaret Grimaldi

Margaret Grimaldi is a scholar working on Molecular Biology, Oncology, Cell Biology, Genetics and Spectroscopy, having authored 13 papers that have together received 568 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (6 papers), Microtubule and mitosis dynamics (5 papers), Ubiquitin and proteasome pathways (3 papers), DNA Repair Mechanisms (2 papers), RNA Research and Splicing (2 papers), Cancer, Hypoxia, and Metabolism (1 paper), Muscle metabolism and nutrition (1 paper) and Mass Spectrometry Techniques and Applications (1 paper). The work is most often cited by research in Cell Biology (125 citations), Oncology (179 citations), Molecular Biology (473 citations), Biotechnology (40 citations) and Cancer Research (46 citations). Margaret Grimaldi has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Hiroyuki Yamano, Patrick Varga‐Weisz, Ruth Brain, João Ferreira, Fernando Ferreira, Nick Gilbert, S. Steffensen, Christine M. Addison, Debbie L. C. van den Berg and Raymond A. Poot. Their work appears in journals such as Journal of Biological Chemistry, European Journal of Biochemistry, Nature Cell Biology, Molecular and Cellular Biology and Current topics in microbiology and immunology.

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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