Daniel E. Frigo

9.4k total citations
61 papers, 2.2k citations indexed

About

Daniel E. Frigo is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Daniel E. Frigo has authored 61 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 27 papers in Pulmonary and Respiratory Medicine and 25 papers in Cancer Research. Recurrent topics in Daniel E. Frigo's work include Prostate Cancer Treatment and Research (24 papers), Metabolism, Diabetes, and Cancer (13 papers) and Cancer, Hypoxia, and Metabolism (13 papers). Daniel E. Frigo is often cited by papers focused on Prostate Cancer Treatment and Research (24 papers), Metabolism, Diabetes, and Cancer (13 papers) and Cancer, Hypoxia, and Metabolism (13 papers). Daniel E. Frigo collaborates with scholars based in United States, Macao and Australia. Daniel E. Frigo's co-authors include Donald P. McDonnell, Yan Shi, Chenchu Lin, Efrosini Tsouko, Mark A. White, Ayesha Khan, Matthew E. Burow, John A. McLachlan, Fatima A. Merchant and Xin Li and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Daniel E. Frigo

57 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel E. Frigo United States 27 1.4k 788 484 329 302 61 2.2k
Christopher C. Nolan United Kingdom 30 1.2k 0.9× 715 0.9× 228 0.5× 795 2.4× 209 0.7× 78 2.5k
Roberta M. Moretti Italy 32 1.3k 1.0× 593 0.8× 468 1.0× 419 1.3× 659 2.2× 67 2.9k
Marina Montagnani Marelli Italy 30 1.0k 0.7× 436 0.6× 399 0.8× 507 1.5× 564 1.9× 75 2.6k
Kevin Pruitt United States 29 2.9k 2.1× 518 0.7× 227 0.5× 771 2.3× 510 1.7× 71 4.0k
Michiko Tamba Japan 17 1.5k 1.1× 550 0.7× 591 1.2× 390 1.2× 95 0.3× 21 2.8k
Charles E. Foulds United States 19 1.1k 0.8× 320 0.4× 130 0.3× 209 0.6× 377 1.2× 28 1.7k
Yoko Omoto Japan 29 1.1k 0.8× 553 0.7× 353 0.7× 870 2.6× 1.2k 3.9× 49 2.5k
Rasmus Siersbæk Denmark 15 1.7k 1.2× 304 0.4× 139 0.3× 272 0.8× 300 1.0× 23 2.5k
Domenico Grieco Italy 26 1.9k 1.4× 423 0.5× 214 0.4× 608 1.8× 123 0.4× 42 2.6k
Chung S. Song United States 29 1.1k 0.8× 238 0.3× 362 0.7× 469 1.4× 522 1.7× 44 2.2k

Countries citing papers authored by Daniel E. Frigo

Since Specialization
Citations

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

Fields of papers citing papers by Daniel E. Frigo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel E. Frigo

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel E. Frigo. A scholar is included among the top collaborators of Daniel E. Frigo 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 Daniel E. Frigo. Daniel E. Frigo 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
2.
Lin, Chenchu, Yan Shi, Manoj Kushwaha, et al.. (2025). Cholesterol metabolism regulated by CAMKK2-CREB signaling promotes castration-resistant prostate cancer. Cell Reports. 44(6). 115792–115792.
3.
Dominic, Abishai, et al.. (2024). Unlocking ferroptosis in prostate cancer — the road to novel therapies and imaging markers. Nature Reviews Urology. 21(10). 615–637. 13 indexed citations
4.
Frigo, Daniel E.. (2024). Diet and Tumor Genetics Conspire to Promote Prostate Cancer Metabolism and Shape the Tumor Microenvironment. Cancer Research. 84(11). 1742–1744. 2 indexed citations
5.
Tidwell, Rebecca S., Yao Yu, Amado J. Zurita, et al.. (2024). Body composition in recurrent prostate cancer and the role of steroidogenic genotype. Endocrine Related Cancer. 31(12).
6.
Hahn, Andrew W., et al.. (2023). Cancer Cell–Extrinsic Roles for the Androgen Receptor in Prostate Cancer. Endocrinology. 164(6). 9 indexed citations
7.
Dondossola, Eleonora, Nathaniel R. Wilson, Omar Alhalabi, et al.. (2023). Stranger Things: New Roles and Opportunities for Androgen Receptor in Oncology Beyond Prostate Cancer. Endocrinology. 164(6). 5 indexed citations
8.
Lin, Chenchu, et al.. (2022). Regulation and role of CAMKK2 in prostate cancer. Nature Reviews Urology. 19(6). 367–380. 21 indexed citations
9.
Hahn, Andrew W., Miao Zhang, Anh Hoang, et al.. (2022). Characterization of prostate cancer adrenal metastases: dependence upon androgen receptor signaling and steroid hormones. Prostate Cancer and Prostatic Diseases. 26(4). 751–758. 3 indexed citations
10.
Robesti, Daniele, Eva Corey, Mark Titus, et al.. (2022). Subtype and Site Specific–Induced Metabolic Vulnerabilities in Prostate Cancer. Molecular Cancer Research. 21(1). 51–61. 7 indexed citations
11.
Han, Jenny, Jeffrey J. Ackroyd, Jonathan S. Oakhill, et al.. (2022). Systemic Ablation of Camkk2 Impairs Metastatic Colonization and Improves Insulin Sensitivity in TRAMP Mice: Evidence for Cancer Cell-Extrinsic CAMKK2 Functions in Prostate Cancer. Cells. 11(12). 1890–1890. 7 indexed citations
12.
Lin, Chenchu, Alicia M. Blessing, Yan Shi, et al.. (2021). Inhibition of CAMKK2 impairs autophagy and castration-resistant prostate cancer via suppression of AMPK-ULK1 signaling. Oncogene. 40(9). 1690–1705. 39 indexed citations
13.
Kanchwala, Mohammed, et al.. (2020). Chronic IL-1 exposure drives LNCaP cells to evolve androgen and AR independence. PLoS ONE. 15(12). e0242970–e0242970. 9 indexed citations
14.
Subramani, Elavarasan & Daniel E. Frigo. (2020). Mitochondria in Metabolic Syndrome, Reproduction and Transgenerational Inheritance—Ongoing Debates and Emerging Links. Endocrinology. 162(1). 3 indexed citations
15.
Chen, Ruidong, Xin Liang, Ellen Karasik, et al.. (2020). A simple quantitative PCR assay to determine TRAMP transgene zygosity. Prostate Cancer and Prostatic Diseases. 24(2). 358–361. 1 indexed citations
16.
Dutta, Prasanta, Travis C. Salzillo, Shivanand Pudakalakatti, et al.. (2019). Assessing Therapeutic Efficacy in Real-time by Hyperpolarized Magnetic Resonance Metabolic Imaging. Cells. 8(4). 340–340. 20 indexed citations
17.
Yu, Guoyu, Chien-Jui Cheng, Song-Chang Lin, et al.. (2018). Organelle-Derived Acetyl-CoA Promotes Prostate Cancer Cell Survival, Migration, and Metastasis via Activation of Calmodulin Kinase II. Cancer Research. 78(10). 2490–2502. 30 indexed citations
18.
White, Mark A., Chenchu Lin, Kimal Rajapakshe, et al.. (2017). Glutamine Transporters Are Targets of Multiple Oncogenic Signaling Pathways in Prostate Cancer. Molecular Cancer Research. 15(8). 1017–1028. 76 indexed citations
19.
Frigo, Daniel E., Matthew K. Howe, Bryan M. Wittmann, et al.. (2010). CaM Kinase Kinase β-Mediated Activation of the Growth Regulatory Kinase AMPK Is Required for Androgen-Dependent Migration of Prostate Cancer Cells. Cancer Research. 71(2). 528–537. 107 indexed citations
20.
Sherk, Andrea B., Daniel E. Frigo, Christine G. Schnackenberg, et al.. (2008). Development of a Small-Molecule Serum- and Glucocorticoid-Regulated Kinase-1 Antagonist and Its Evaluation as a Prostate Cancer Therapeutic. Cancer Research. 68(18). 7475–7483. 174 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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