Monica Peacocke

2.9k citations
54 papers · 2.2k indexed · h-index 24
  • Urology top 2%
    • Cell Adhesion Molecules Research 7
    • Cancer and Skin Lesions 7
    • Cellular Mechanics and Interactions 9
    • PI3K/AKT/mTOR signaling in cancer 10
    • Retinoids in leukemia and cellular processes 9
    • Hedgehog Signaling Pathway Studies 5
    • Polyamine Metabolism and Applications 4
    • Estrogen and related hormone effects 7

Monica Peacocke

54 papers receiving 2.1k citations

Peers

Monica Peacocke
Comparison fields: 5 of 99
  • Urology 236
  • Immunology and Allergy 211
  • Dermatology 271
  • Cell Biology 478
  • Molecular Biology 1.3k
Replace Wera Roth with:
Wera Roth Germany
Lisa M. Godsel United States
Alberto Gandarillas Spain
Wei Hsu United States
Stéphane Chavanas France
Tsutomu Inatomi Japan
Kristin M. Braun United Kingdom
Adrian Heagerty United Kingdom
Denise Gay United States
Caroline M. Milner United Kingdom
Monica Peacocke relative to Wera Roth Germany Wera Roth's profile →
Citations per field
00.5×1.7×
Wera Roth · 1×
Citations per year

Countries citing papers authored by Monica Peacocke

Since Specialization
Citations

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

Fields of papers citing papers by Monica Peacocke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200165
2 200126
3 200149
4 2000141
5 20001
6 199916
7 19982
8 199787
9 19973
10 199613
11 199421
12 19945
13 19939
14 199310
15 199324
16 199212
17 199214
18 199216
19 199012
20 198916

About Monica Peacocke

Monica Peacocke is a scholar working on Immunology and Allergy, Dermatology and Cell Biology, having authored 54 papers that have together received 2.2k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (10 papers), Cellular Mechanics and Interactions (9 papers), Retinoids in leukemia and cellular processes (9 papers), Cancer and Skin Lesions (7 papers), Estrogen and related hormone effects (7 papers), Cell Adhesion Molecules Research (7 papers), Hedgehog Signaling Pathway Studies (5 papers) and Polyamine Metabolism and Applications (4 papers). The work is most often cited by research in Urology (236 citations), Immunology and Allergy (211 citations) and Dermatology (271 citations). Monica Peacocke has collaborated with scholars based in United States, Canada and Denmark. Frequent co-authors include Hui C. Tsou, Ping Xiao, K. Georgilis, K A Siminovitch, Mark S. Klempner, Wenda Greer, Karen Swisshelm, Judith Campisi, Douglas Schneider and Angela M. Christiano. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Oncogene.

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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