Julia Procter

819 citations
9 papers · 651 · h-index 8

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments

Papers in

    • PI3K/AKT/mTOR signaling in cancer 3
    • Connexins and lens biology 2
    • Protein Kinase Regulation and GTPase Signaling 2
    • Peroxisome Proliferator-Activated Receptors 1
    • Phosphodiesterase function and regulation 1
    • Acute Myeloid Leukemia Research 2

Julia Procter

9 papers receiving 637 citations

Peers

Julia Procter
Comparison fields: 5 of 73
  • Hematology 110
  • Aging 14
  • Cell Biology 106
  • Genetics 59
  • Molecular Biology 400
Replace Sílvia R.P. Miranda with:
Sílvia R.P. Miranda United States
Chikara Kokubu Japan
Ying Xia China
Li Xuan Tan United States
Pamela M. Carroll United States
Fernando Ribeiro-Neto United States
Qing‐Shuo Zhang United States
Erikjan Rijkers Netherlands
Dean C. Pask United Kingdom
Valérie Race Belgium
Julia Procter relative to Sílvia R.P. Miranda United States Sílvia R.P. Miranda's profile →
Citations per field
00.5×2×3×3.5×
Sílvia R.P. Miranda · 1×
Citations per year

Countries citing papers authored by Julia Procter

Since Specialization
Citations

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

Fields of papers citing papers by Julia Procter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2007215
2 2008135
3 201099
4 200660
5 201044
6 201143
7 199936
8 200712
9 20147

About Julia Procter

Julia Procter is a scholar working on Molecular Biology, Hematology, Reproductive Medicine, Pharmacology and Genetics, having authored 9 papers that have together received 651 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (3 papers), Acute Myeloid Leukemia Research (2 papers), Sperm and Testicular Function (2 papers), Connexins and lens biology (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Acute Lymphoblastic Leukemia research (1 paper) and Phosphodiesterase function and regulation (1 paper). The work is most often cited by research in Hematology (110 citations), Aging (14 citations), Cell Biology (106 citations), Genetics (59 citations) and Molecular Biology (400 citations). Julia Procter has collaborated with scholars based in United Kingdom, Canada and France. Frequent co-authors include Richard F. Lamb, Lijun Yan, Greg M. Findlay, Virginie Mieulet, Anthony M. Ford, Mel Greaves, Katherine Sully, Nick Morrice, Darren J. Burgess and Veerle Janssens. Their work appears in journals such as Blood, Science Signaling, Journal of Biological Chemistry, Biochemical Journal and Experimental Eye Research.

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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