Julia Procter

815 total citations
9 papers, 601 citations indexed

About

Julia Procter is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Julia Procter has authored 9 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Hematology and 2 papers in Genetics. Recurrent topics in Julia Procter's work include Acute Myeloid Leukemia Research (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Julia Procter is often cited by papers focused on Acute Myeloid Leukemia Research (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Julia Procter collaborates with scholars based in United Kingdom, Canada and United States. Julia Procter's co-authors include Lijun Yan, Richard F. Lamb, Greg M. Findlay, Virginie Mieulet, Mel Greaves, Anthony M. Ford, Katherine Sully, Nick Morrice, Veerle Janssens and Yunhong Cao and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Molecular Cell.

In The Last Decade

Julia Procter

9 papers receiving 594 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Julia Procter United Kingdom	8	393	111	102	100	67	9	601
Ross Kinstrie United Kingdom	11	397 1.0×	79 0.7×	217 2.1×	72 0.7×	126 1.9×	18	712
Pamela M. Carroll United States	13	555 1.4×	47 0.4×	75 0.7×	110 1.1×	119 1.8×	22	765
Marı́a Francisca Arteaga Germany	15	401 1.0×	50 0.5×	70 0.7×	53 0.5×	30 0.4×	25	558
Chikara Kokubu Japan	16	689 1.8×	43 0.4×	42 0.4×	69 0.7×	28 0.4×	28	874
Sharon Lin United States	15	349 0.9×	28 0.3×	102 1.0×	48 0.5×	80 1.2×	25	634
Erikjan Rijkers Netherlands	13	674 1.7×	25 0.2×	66 0.6×	65 0.7×	70 1.0×	17	894
Ashley C. Kramer United States	13	490 1.2×	26 0.2×	131 1.3×	52 0.5×	63 0.9×	28	653
Sílvia R.P. Miranda United States	11	492 1.3×	260 2.3×	88 0.9×	160 1.6×	55 0.8×	19	970
Yoon Sing Yap United States	6	575 1.5×	30 0.3×	146 1.4×	31 0.3×	56 0.8×	9	732
Adi Mory Israel	15	245 0.6×	28 0.3×	46 0.5×	66 0.7×	124 1.9×	40	592

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-authorship network of co-authors of Julia Procter

This figure shows the co-authorship network connecting the top 25 collaborators of Julia Procter. A scholar is included among the top collaborators of Julia Procter based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Julia Procter. Julia Procter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Palmi, Chiara, Grazia Fazio, Angela Maria Savino, et al.. (2014). Cytoskeletal Regulatory Gene Expression and Migratory Properties of B-cell Progenitors Are Affected by the ETV6–RUNX1 Rearrangement. Molecular Cancer Research. 12(12). 1796–1806. 7 indexed citations

2.

Torrano, Verónica, et al.. (2011). ETV6-RUNX1 promotes survival of early B lineage progenitor cells via a dysregulated erythropoietin receptor. Blood. 118(18). 4910–4918. 41 indexed citations

3.

Yan, Lijun, Virginie Mieulet, Darren J. Burgess, et al.. (2010). PP2AT61ɛ Is an Inhibitor of MAP4K3 in Nutrient Signaling to mTOR. Molecular Cell. 37(5). 633–642. 95 indexed citations

4.

Mieulet, Virginie, Lijun Yan, Caroline Choisy, et al.. (2010). TPL-2–Mediated Activation of MAPK Downstream of TLR4 Signaling Is Coupled to Arginine Availability. Science Signaling. 3(135). ra61–ra61. 41 indexed citations

5.

Kearney, Robert E., David González de Castro, Jenny Yeung, et al.. (2008). Specific JAK2 mutation (JAK2R683) and multiple gene deletions in Down syndrome acute lymphoblastic leukemia. Blood. 113(3). 646–648. 117 indexed citations

6.

Dahm, Ralf, Julia Procter, Mark E. Ireland, et al.. (2007). Reorganization of centrosomal marker proteins coincides with epithelial cell differentiation in the vertebrate lens. Experimental Eye Research. 85(5). 696–713. 12 indexed citations

7.

Findlay, Greg M., Lijun Yan, Julia Procter, Virginie Mieulet, & Richard F. Lamb. (2007). A MAP4 kinase related to Ste20 is a nutrient-sensitive regulator of mTOR signalling. Biochemical Journal. 403(1). 13–20. 195 indexed citations

8.

Yan, Lijun, et al.. (2006). Hyperactivation of Mammalian Target of Rapamycin (mTOR) Signaling by a Gain-of-Function Mutant of the Rheb GTPase. Journal of Biological Chemistry. 281(29). 19793–19797. 58 indexed citations

9.

Quinlan, Roy A., Aileen Sandilands, Julia Procter, et al.. (1999). The eye lens cytoskeleton. Eye. 13(3). 409–416. 35 indexed citations

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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