Julia E. Prescott

812 total citations
9 papers, 654 citations indexed

About

Julia E. Prescott is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Julia E. Prescott has authored 9 papers receiving a total of 654 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Oncology and 2 papers in Hematology. Recurrent topics in Julia E. Prescott's work include Cancer-related Molecular Pathways (4 papers), Ubiquitin and proteasome pathways (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Julia E. Prescott is often cited by papers focused on Cancer-related Molecular Pathways (4 papers), Ubiquitin and proteasome pathways (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Julia E. Prescott collaborates with scholars based in United States and United Kingdom. Julia E. Prescott's co-authors include Chi V. Dang, Diane R. Wonsey, Qing Li, Linda Resar, Sunkyu Kim, E Emison, Karen Zeller, Brian C. Lewis, Hyunsuk Shim and Kenneth J. Cohen and has published in prestigious journals such as Journal of Biological Chemistry, Molecular and Cellular Biology and Cancer Cell.

In The Last Decade

Julia E. Prescott

9 papers receiving 644 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Julia E. Prescott United States	8	521	191	149	56	50	9	654
Sabita Sankar United States	10	534 1.0×	152 0.8×	155 1.0×	83 1.5×	35 0.7×	15	668
Seiji Tachiiri Japan	10	547 1.0×	224 1.2×	154 1.0×	44 0.8×	83 1.7×	13	736
Jian‐Ming Wen China	9	324 0.6×	175 0.9×	123 0.8×	73 1.3×	52 1.0×	9	515
Naoe Taira Japan	11	544 1.0×	297 1.6×	127 0.9×	47 0.8×	47 0.9×	13	737
Corrado Caslini United States	14	746 1.4×	139 0.7×	99 0.7×	42 0.8×	46 0.9×	20	937
F. Paulin United Kingdom	12	665 1.3×	182 1.0×	111 0.7×	27 0.5×	45 0.9×	14	826
Evangelia Loizou United States	7	548 1.1×	243 1.3×	118 0.8×	66 1.2×	75 1.5×	8	775
Shuji Nakada Japan	11	555 1.1×	267 1.4×	94 0.6×	59 1.1×	44 0.9×	14	683
Dragana Kopanja United States	16	624 1.2×	230 1.2×	136 0.9×	32 0.6×	50 1.0×	20	739
Nikolai V. Boubnov United States	8	575 1.1×	202 1.1×	104 0.7×	100 1.8×	47 0.9×	11	671

Countries citing papers authored by Julia E. Prescott

Since Specialization

Citations

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

Fields of papers citing papers by Julia E. Prescott

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia E. Prescott

This figure shows the co-authorship network connecting the top 25 collaborators of Julia E. Prescott. A scholar is included among the top collaborators of Julia E. Prescott 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 E. Prescott. Julia E. Prescott 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

Magda, Darren, Philip Lecane, Julia E. Prescott, et al.. (2008). mtDNA depletion confers specific gene expression profiles in human cells grown in culture and in xenograft. BMC Genomics. 9(1). 521–521. 41 indexed citations

Loury, David, et al.. (2007). PCI-27483, a small molecule inhibitor of factor VIIa, inhibits tumor growth in vivo.. Molecular Cancer Therapeutics. 6. 1 indexed citations

Finch, Andrew J., Julia E. Prescott, Ksenya Shchors, et al.. (2006). Bcl-xL gain of function and p19ARF loss of function cooperate oncogenically with Myc in vivo by distinct mechanisms. Cancer Cell. 10(2). 113–120. 33 indexed citations

Evan, Gérard I., Ingo Ringshausen, Julia E. Prescott, et al.. (2005). Oncogene-dependent Tumor Suppression: Using the Dark Side of the Force for Cancer Therapy. Cold Spring Harbor Symposia on Quantitative Biology. 70(0). 263–273. 14 indexed citations

Karim, Baktiar, Julia E. Prescott, B. Douglas Smith, et al.. (2005). The Myc Target Gene JPO1/CDCA7 Is Frequently Overexpressed in Human Tumors and Has Limited Transforming Activity In vivo. Cancer Research. 65(13). 5620–5627. 53 indexed citations

Prescott, Julia E., Linda A. Lee, Brian C. Lewis, et al.. (2001). A Novel c-Myc- responsive Gene, JPO1, Participates in Neoplastic Transformation. Journal of Biological Chemistry. 276(51). 48276–48284. 55 indexed citations

Lewis, Brian C., Julia E. Prescott, S. Elizabeth Campbell, et al.. (2000). Tumor induction by the c-Myc target genes rcl and lactate dehydrogenase A.. PubMed. 60(21). 6178–83. 85 indexed citations

Dang, Chi V., Linda Resar, E Emison, et al.. (1999). Function of the c-Myc Oncogenic Transcription Factor. Experimental Cell Research. 253(1). 63–77. 316 indexed citations

Cohen, Kenneth J., et al.. (1996). Transformation by the Bmi-1 Oncoprotein Correlates with Its Subnuclear Localization but Not Its Transcriptional Suppression Activity. Molecular and Cellular Biology. 16(10). 5527–5535. 56 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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