James DiRenzo

5.8k total citations · 1 hit paper
41 papers, 4.8k citations indexed

About

James DiRenzo is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, James DiRenzo has authored 41 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 23 papers in Oncology and 11 papers in Genetics. Recurrent topics in James DiRenzo's work include Cancer-related Molecular Pathways (16 papers), Estrogen and related hormone effects (9 papers) and Cancer Cells and Metastasis (8 papers). James DiRenzo is often cited by papers focused on Cancer-related Molecular Pathways (16 papers), Estrogen and related hormone effects (9 papers) and Cancer Cells and Metastasis (8 papers). James DiRenzo collaborates with scholars based in United States, United Kingdom and Denmark. James DiRenzo's co-authors include Myles Brown, Yongfeng Shang, Mitchell A. Lazar, Xiao Hu, Riki Kurokawa, Christopher K. Glass, Michael G. Rosenfeld, Mark E. Ewen, Marcus F. Boehm and Richard A. Heyman and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

James DiRenzo

41 papers receiving 4.8k citations

Hit Papers

Cofactor Dynamics and Sufficiency in Estrogen Receptor–Re... 2000 2026 2008 2017 2000 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James DiRenzo United States 26 3.7k 1.7k 1.4k 949 346 41 4.8k
Iannis Talianidis Greece 41 3.9k 1.0× 855 0.5× 991 0.7× 573 0.6× 328 0.9× 70 5.3k
Shlomit Halachmi Israel 14 2.3k 0.6× 1.2k 0.7× 1.3k 0.9× 408 0.4× 305 0.9× 28 3.4k
Valentina Perissi United States 22 3.9k 1.1× 1.1k 0.6× 751 0.6× 597 0.6× 690 2.0× 37 5.0k
Maofu Fu United States 34 4.1k 1.1× 861 0.5× 1.7k 1.3× 942 1.0× 326 0.9× 44 5.8k
Carol A. Sartorius United States 39 1.8k 0.5× 1.6k 0.9× 1.5k 1.1× 892 0.9× 454 1.3× 76 3.7k
Steven A. Johnsen Germany 42 3.8k 1.0× 617 0.4× 1.3k 0.9× 635 0.7× 318 0.9× 106 4.9k
Chunming Liu United States 32 5.2k 1.4× 765 0.4× 887 0.7× 569 0.6× 514 1.5× 87 6.4k
Marco Pontoglio France 41 3.6k 1.0× 2.1k 1.3× 551 0.4× 425 0.4× 249 0.7× 72 5.6k
Antonio Bilancio Italy 30 2.4k 0.7× 1.1k 0.6× 1.2k 0.9× 470 0.5× 1.3k 3.9× 42 4.7k
Galit Rotman Israel 31 3.8k 1.0× 495 0.3× 1.4k 1.0× 1.3k 1.4× 257 0.7× 50 4.7k

Countries citing papers authored by James DiRenzo

Since Specialization
Citations

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

Fields of papers citing papers by James DiRenzo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James DiRenzo

This figure shows the co-authorship network connecting the top 25 collaborators of James DiRenzo. A scholar is included among the top collaborators of James DiRenzo 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 James DiRenzo. James DiRenzo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Feng, William W., Owen M. Wilkins, Scott Bang, et al.. (2019). CD36-Mediated Metabolic Rewiring of Breast Cancer Cells Promotes Resistance to HER2-Targeted Therapies. Cell Reports. 29(11). 3405–3420.e5. 150 indexed citations
2.
Cherukuri, Pratima, et al.. (2015). p53 and ΔNp63α Coregulate the Transcriptional and Cellular Response to TGFβ and BMP Signals. Molecular Cancer Research. 13(4). 732–742. 18 indexed citations
3.
DeCastro, Andrew, et al.. (2014). ΔNP63α Transcriptionally Activates Chemokine Receptor 4 (CXCR4) Expression to Regulate Breast Cancer Stem Cell Activity and Chemotaxis. Molecular Cancer Therapeutics. 14(1). 225–235. 14 indexed citations
4.
Galimberti, Fabrizio, David Sekula, Bin Li, et al.. (2014). All-trans-retinoic acid antagonizes the hedgehog pathway by inducing patched. Cancer Biology & Therapy. 15(4). 463–472. 10 indexed citations
5.
Khaleel, Sari, Erik Andrews, Matthew Ung, James DiRenzo, & Chao Cheng. (2014). E2F4 regulatory program predicts patient survival prognosis in breast cancer. Breast Cancer Research. 16(6). 486–486. 43 indexed citations
6.
Ma, Tian, Fabrizio Galimberti, Cherie P. Erkmen, et al.. (2013). Comparing Histone Deacetylase Inhibitor Responses in Genetically Engineered Mouse Lung Cancer Models and a Window of Opportunity Trial in Patients with Lung Cancer. Molecular Cancer Therapeutics. 12(8). 1545–1555. 20 indexed citations
8.
Cherukuri, Pratima, et al.. (2012). Unanticipated Reversal of Polarity in Primary Human Mammospheres Cultured in Ultra‐Low Attachment Plates. Journal of Pharmaceutical Sciences. 101(12). 4666–4668. 1 indexed citations
9.
DeCastro, Andrew, et al.. (2011). ΔNp63α promotes cellular quiescence via induction and activation of Notch3. Cell Cycle. 10(18). 3111–3118. 18 indexed citations
10.
Fei, Dennis Liang, Hua Li, Courtney D. Kozul, et al.. (2010). Activation of Hedgehog Signaling by the Environmental Toxicant Arsenic May Contribute to the Etiology of Arsenic-Induced Tumors. Cancer Research. 70(5). 1981–1988. 45 indexed citations
11.
Craig, Ashley, Jitka Holčáková, Lee Finlan, et al.. (2010). ΔNp63 transcriptionally regulates ATM to control p53 Serine-15 phosphorylation. Molecular Cancer. 9(1). 195–195. 33 indexed citations
12.
Liu, Xi, Lorenzo F. Sempere, Haoxu Ouyang, et al.. (2010). MicroRNA-31 functions as an oncogenic microRNA in mouse and human lung cancer cells by repressing specific tumor suppressors. Journal of Clinical Investigation. 120(4). 1298–1309. 328 indexed citations
13.
Galimberti, Fabrizio, Xi Liu, Hua Li, et al.. (2009). Targeting the Cyclin E-Cdk-2 Complex Represses Lung Cancer Growth by Triggering Anaphase Catastrophe. Clinical Cancer Research. 16(1). 109–120. 60 indexed citations
14.
Liu, Xi, Lorenzo F. Sempere, Fabrizio Galimberti, et al.. (2009). Uncovering Growth-Suppressive MicroRNAs in Lung Cancer. Clinical Cancer Research. 15(4). 1177–1183. 151 indexed citations
15.
Kerley-Hamilton, Joanna S., et al.. (2005). A p53-dominant transcriptional response to cisplatin in testicular germ cell tumor-derived human embyronal carcinoma. Oncogene. 24(40). 6090–6100. 81 indexed citations
16.
Cherukuri, Pratima, et al.. (2005). TA-p63-γ regulates expression of ΔN-p63 in a manner that is sensitive to p53. Oncogene. 25(16). 2349–2359. 22 indexed citations
17.
Harmes, David C., Edward Bresnick, Julie K. Watson, et al.. (2003). Positive and negative regulation of ΔN-p63 promoter activity by p53 and ΔN-p63-α contributes to differential regulation of p53 target genes. Oncogene. 22(48). 7607–7616. 70 indexed citations
18.
Carroll, Rona S., Myles Brown, John H. Zhang, et al.. (2000). Expression of a subset of steroid receptor cofactors is associated with progesterone receptor expression in meningiomas.. PubMed. 6(9). 3570–5. 48 indexed citations
19.
Kurokawa, Riki, James DiRenzo, Marcus F. Boehm, et al.. (1994). Regulation of retinoid signalling by receptor polarity and allosteric control of ligand binding. Nature. 371(6497). 528–531. 366 indexed citations
20.
Glass, Christopher K., James DiRenzo, Riki Kurokawa, & Zhihua Han. (1991). Regulation of Gene Expression by Retinoic Acid Receptors. DNA and Cell Biology. 10(9). 623–638. 91 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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