Daniel Doheny

948 total citations · 1 hit paper
16 papers, 681 citations indexed

About

Daniel Doheny is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Daniel Doheny has authored 16 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Oncology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Daniel Doheny's work include Hedgehog Signaling Pathway Studies (5 papers), Cancer Mechanisms and Therapy (4 papers) and Effects and risks of endocrine disrupting chemicals (3 papers). Daniel Doheny is often cited by papers focused on Hedgehog Signaling Pathway Studies (5 papers), Cancer Mechanisms and Therapy (4 papers) and Effects and risks of endocrine disrupting chemicals (3 papers). Daniel Doheny collaborates with scholars based in United States. Daniel Doheny's co-authors include Hui‐Wen Lo, Grace L. Wong, Sara G. Manore, Angelina T. Regua, Sherona Sirkisoon, Michael D. Chan, Jimmy Ruiz, Roy E. Strowd, Richard L. Carpenter and Dongqin Zhu and has published in prestigious journals such as Cancer Research, Oncogene and Cancer Letters.

In The Last Decade

Daniel Doheny

16 papers receiving 672 citations

Hit Papers

IL-6/JAK/STAT3 Signaling in Breast Cancer Metastasis: Bio... 2022 2026 2023 2024 2022 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. IL-6/JAK/STAT3 Signaling in Breast Cancer Metastasis: Biology and Treatment
    2022 173 citations Sara G. Manore, Daniel Doheny et al. Frontiers in Oncology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Doheny United States 12 363 265 151 103 85 16 681
Qiongyu Hao United States 15 424 1.2× 218 0.8× 220 1.5× 81 0.8× 153 1.8× 28 789
Sherry Chow United States 7 468 1.3× 259 1.0× 108 0.7× 84 0.8× 39 0.5× 7 734
Saeed Noorolyai Iran 11 451 1.2× 171 0.6× 225 1.5× 69 0.7× 102 1.2× 24 708
Fatemeh Rezaei‐Tazangi Iran 12 277 0.8× 121 0.5× 129 0.9× 69 0.7× 72 0.8× 55 572
Qiong Shi China 12 273 0.8× 198 0.7× 135 0.9× 56 0.5× 127 1.5× 20 584
Arindam Dhar United States 12 595 1.6× 225 0.8× 135 0.9× 78 0.8× 117 1.4× 35 903
Ze Yu China 16 381 1.0× 160 0.6× 265 1.8× 140 1.4× 103 1.2× 52 764
Min Ah Kang South Korea 9 292 0.8× 137 0.5× 108 0.7× 50 0.5× 53 0.6× 12 548
Michelle Cicchini United States 9 412 1.1× 188 0.7× 160 1.1× 126 1.2× 60 0.7× 9 727
Prathap Kumar S. Mahalingaiah United States 12 314 0.9× 218 0.8× 84 0.6× 56 0.5× 47 0.6× 20 647

Countries citing papers authored by Daniel Doheny

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Doheny

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Doheny

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

All Works

16 of 16 papers shown
1.
Sirkisoon, Sherona, Grace L. Wong, Daniel Doheny, et al.. (2022). Breast cancer extracellular vesicles-derived miR-1290 activates astrocytes in the brain metastatic microenvironment via the FOXA2→CNTF axis to promote progression of brain metastases. Cancer Letters. 540. 215726–215726. 38 indexed citations
2.
Rimkus, Tadas, Dongqin Zhu, Richard L. Carpenter, et al.. (2022). NEDD4 degrades TUSC2 to promote glioblastoma progression. Cancer Letters. 531. 124–135. 9 indexed citations
3.
Manore, Sara G., Daniel Doheny, Grace L. Wong, & Hui‐Wen Lo. (2022). IL-6/JAK/STAT3 Signaling in Breast Cancer Metastasis: Biology and Treatment. Frontiers in Oncology. 12. 866014–866014. 173 indexed citations breakdown →
4.
Wong, Grace L., Sara G. Manore, Daniel Doheny, & Hui‐Wen Lo. (2022). STAT family of transcription factors in breast cancer: Pathogenesis and therapeutic opportunities and challenges. Seminars in Cancer Biology. 86(Pt 3). 84–106. 73 indexed citations
5.
Doheny, Daniel, Sara G. Manore, Grace L. Wong, et al.. (2022). Abstract 2433: Targeting tGLI1 pharmacologically as a new therapeutic strategy for breast cancer brain metastases. Cancer Research. 82(12_Supplement). 2433–2433. 1 indexed citations
6.
Regua, Angelina T., et al.. (2021). Transgenic mouse models of breast cancer. Cancer Letters. 516. 73–83. 19 indexed citations
7.
Regua, Angelina T., Daniel Doheny, Sara G. Manore, et al.. (2021). TrkA Interacts with and Phosphorylates STAT3 to Enhance Gene Transcription and Promote Breast Cancer Stem Cells in Triple-Negative and HER2-Enriched Breast Cancers. Cancers. 13(10). 2340–2340. 18 indexed citations
8.
Doheny, Daniel, Sherona Sirkisoon, Richard L. Carpenter, et al.. (2020). Combined inhibition of JAK2-STAT3 and SMO-GLI1/tGLI1 pathways suppresses breast cancer stem cells, tumor growth, and metastasis. Oncogene. 39(42). 6589–6605. 63 indexed citations
9.
Doheny, Daniel, Sara G. Manore, Grace L. Wong, & Hui‐Wen Lo. (2020). Hedgehog Signaling and Truncated GLI1 in Cancer. Cells. 9(9). 2114–2114. 134 indexed citations
10.
Doheny, Daniel, Sherona Sirkisoon, Tadas Rimkus, et al.. (2020). Abstract 5025: Antifungal ketoconazole inhibits tumor-specific transcription factor tGLI1 leading to suppression of breast cancer stem cells and brain metastasis. Cancer Research. 80(16_Supplement). 5025–5025. 1 indexed citations
11.
Regua, Angelina T., et al.. (2019). Trk receptor tyrosine kinases in metastasis and cancer therapy.. PubMed. 28(154). 195–203. 14 indexed citations
12.
Sirkisoon, Sherona, Richard L. Carpenter, Tadas Rimkus, et al.. (2019). TGLI1 transcription factor mediates breast cancer brain metastasis via activating metastasis-initiating cancer stem cells and astrocytes in the tumor microenvironment. Oncogene. 39(1). 64–78. 72 indexed citations
13.
Moreau, Marjory, Kamel Mansouri, Saad Haider, et al.. (2019). The role of fit-for-purpose assays within tiered testing approaches: A case study evaluating prioritized estrogen-active compounds in an in vitro human uterotrophic assay. Toxicology and Applied Pharmacology. 387. 114774–114774. 15 indexed citations
14.
Hartman, Jessica K., Daniel Doheny, Gina Song, et al.. (2018). An in vitro approach for prioritization and evaluation of chemical effects on glucocorticoid receptor mediated adipogenesis. Toxicology and Applied Pharmacology. 355. 112–126. 11 indexed citations
15.
Alyea, Rebecca A., Daniel Doheny, Susan M. Ross, et al.. (2016). Editor’s Highlight: Development of anIn vitroAssay Measuring Uterine-Specific Estrogenic Responses for Use in Chemical Safety Assessment. Toxicological Sciences. 154(1). 162–173. 11 indexed citations
16.
Foley, Briana, Daniel Doheny, Michael B. Black, et al.. (2016). Editor’s Highlight: Screening ToxCast Prioritized Chemicals forPPARGFunction in a Human Adipose-Derived Stem Cell Model of Adipogenesis. Toxicological Sciences. 155(1). 85–100. 29 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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