Stephen F. Madden

12.5k total citations · 1 hit paper
164 papers, 8.1k citations indexed

About

Stephen F. Madden is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Stephen F. Madden has authored 164 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Molecular Biology, 60 papers in Oncology and 31 papers in Cancer Research. Recurrent topics in Stephen F. Madden's work include HER2/EGFR in Cancer Research (24 papers), MicroRNA in disease regulation (15 papers) and Pharmacogenetics and Drug Metabolism (14 papers). Stephen F. Madden is often cited by papers focused on HER2/EGFR in Cancer Research (24 papers), MicroRNA in disease regulation (15 papers) and Pharmacogenetics and Drug Metabolism (14 papers). Stephen F. Madden collaborates with scholars based in Ireland, United States and United Kingdom. Stephen F. Madden's co-authors include Frank J. Rauscher, William M. Gallagher, Vikas P. Sukhatme, John Crown, Karin Jirström, Donal J. Brennan, Elton Rexhepaj, Munir Pirmohamed, Lisa M. Coussens and David G. DeNardo and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Stephen F. Madden

160 papers receiving 8.0k citations

Hit Papers

align trajectories sort by overperformance

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.

Leukocyte Complexity Predicts Breast Cancer Survival and Functionally Regulates Response to Chemotherapy

2011 1.3k citations David G. DeNardo, Donal J. Brennan et al. Cancer Discovery profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stephen F. Madden Ireland	47	4.8k	2.2k	1.5k	1.4k	1.0k	164	8.1k
Bob van de Water Netherlands	48	4.7k 1.0×	1.5k 0.7×	709 0.5×	1.3k 0.9×	573 0.6×	224	8.2k
Jian Jian Li United States	55	5.4k 1.1×	2.3k 1.1×	1.1k 0.8×	2.1k 1.6×	1.0k 1.0×	196	9.5k
Nicolás André France	50	4.1k 0.9×	2.8k 1.3×	882 0.6×	1.8k 1.3×	1.2k 1.2×	264	8.6k
Bo Yang China	56	6.0k 1.2×	2.1k 1.0×	1.4k 1.0×	1.9k 1.4×	1.3k 1.3×	294	10.5k
R. Stephanie Huang United States	39	4.5k 0.9×	1.7k 0.8×	733 0.5×	2.8k 2.1×	2.3k 2.2×	184	7.5k
Adriana Haimovitz‐Friedman United States	49	7.8k 1.6×	2.4k 1.1×	1.4k 0.9×	1.8k 1.3×	1.7k 1.6×	105	12.4k
Juan José Lozano Spain	55	4.1k 0.9×	1.2k 0.6×	1.2k 0.8×	2.1k 1.6×	636 0.6×	215	9.2k
David A. Gewirtz United States	53	4.4k 0.9×	2.2k 1.0×	771 0.5×	1.1k 0.8×	509 0.5×	192	8.1k
John F. Smyth United Kingdom	52	3.7k 0.8×	2.9k 1.3×	1.2k 0.8×	921 0.7×	544 0.5×	202	8.2k
John A. Hickman United Kingdom	50	6.9k 1.4×	3.3k 1.5×	930 0.6×	1.4k 1.0×	714 0.7×	184	10.8k

Countries citing papers authored by Stephen F. Madden

Since Specialization

Citations

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

Fields of papers citing papers by Stephen F. Madden

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen F. Madden. 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 Stephen F. Madden. The network helps show where Stephen F. Madden may publish in the future.

Co-authorship network of co-authors of Stephen F. Madden

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Roy, Gargi, Bryan T. Hennessy, Oscar S. Breathnach, et al.. (2025). Cutaneous Immune‐Related Adverse Events and Efficacy of Immune Checkpoint Inhibitors for Patients With Advanced Solid Organ Malignancies. International Journal of Dermatology. 65(4). 790–796.

Murphy, Claire, Daniel O’Reilly, Luisa Weiß, et al.. (2025). Unique Patterns of Circulating Extracellular Vesicles in Preterm Infants During Adaptation to Extra‐Uterine Life. Journal of Extracellular Vesicles. 14(4). e70064–e70064.

Thompson, Emma J., Denis Tvorogov, Gelareh Farshid, et al.. (2024). Interleukin-3 production by basal-like breast cancer cells is associated with poor prognosis. Growth Factors. 42(2). 49–61. 2 indexed citations

Weiß, Luisa, Zhu Shen, Marina Marchetti, et al.. (2024). Platelet proteomic profiling reveals potential mediators of immunothrombosis and proteostasis in myeloproliferative neoplasms. Blood Advances. 8(16). 4276–4280. 4 indexed citations

Madden, Stephen F., et al.. (2022). A Transcriptional Link between HER2, JAM-A and FOXA1 in Breast Cancer. Cells. 11(4). 735–735. 8 indexed citations

Geoghegan, Pierce, Jennifer Clarke, Grace Hogan, et al.. (2022). Use of a novel “Split” ventilation system in bench and porcine modeling of acute respiratory distress syndrome. Physiological Reports. 10(17). e15452–e15452. 1 indexed citations

Beamer, Edward, James J. Morgan, Mariana Alves, et al.. (2021). Increased expression of the ATP‐gated P2X7 receptor reduces responsiveness to anti‐convulsants during status epilepticus in mice. British Journal of Pharmacology. 179(12). 2986–3006. 27 indexed citations

Madden, Stephen F., James Hawley, Sara Charmsaz, et al.. (2021). Steroid Ligands, the Forgotten Triggers of Nuclear Receptor Action; Implications for Acquired Resistance to Endocrine Therapy. Clinical Cancer Research. 27(14). 3980–3989. 5 indexed citations

Schroth, Werner, Florian Büttner, Siarhei Kandabarau, et al.. (2020). Gene Expression Signatures of BRCAness and Tumor Inflammation Define Subgroups of Early-Stage Hormone Receptor–Positive Breast Cancer Patients. Clinical Cancer Research. 26(24). 6523–6534. 13 indexed citations

10.

Llop, Esther, Jack Creagh-Flynn, Stephanie Pfister, et al.. (2020). Hypoxia Alters Epigenetic and N-Glycosylation Profiles of Ovarian and Breast Cancer Cell Lines in-vitro. Frontiers in Oncology. 10. 1218–1218. 29 indexed citations

11.

Creevey, Laura, Stephen F. Madden, Sinéad Toomey, et al.. (2019). Altered Steroid Milieu in AI-Resistant Breast Cancer Facilitates AR Mediated Gene-Expression Associated with Poor Response to Therapy. Molecular Cancer Therapeutics. 18(10). 1731–1743. 9 indexed citations

12.

Muliaditan, Tamara, James W. Opzoomer, Jonathan Caron, et al.. (2018). Repurposing Tin Mesoporphyrin as an Immune Checkpoint Inhibitor Shows Therapeutic Efficacy in Preclinical Models of Cancer. Clinical Cancer Research. 24(7). 1617–1628. 50 indexed citations

13.

Synnott, Naoise C., Stephen F. Madden, Vladimir J.N. Bykov, et al.. (2018). The Mutant p53-Targeting Compound APR-246 Induces ROS-Modulating Genes in Breast Cancer Cells. Translational Oncology. 11(6). 1343–1349. 27 indexed citations

14.

Browne, Brigid C., Alex J. Eustace, Susan Kennedy, et al.. (2012). Evaluation of IGF1R and phosphorylated IGF1R as targets in HER2-positive breast cancer cell lines and tumours. Breast Cancer Research and Treatment. 136(3). 717–727. 32 indexed citations

15.

Geiger, Tamar, Stephen F. Madden, William M. Gallagher, Jüergen Cox, & Matthias Mann. (2012). Proteomic Portrait of Human Breast Cancer Progression Identifies Novel Prognostic Markers. Cancer Research. 72(9). 2428–2439. 115 indexed citations

16.

Mulrane, Laoighse, Stephen F. Madden, Donal J. Brennan, et al.. (2012). miR-187 Is an Independent Prognostic Factor in Breast Cancer and Confers Increased Invasive Potential In Vitro. Clinical Cancer Research. 18(24). 6702–6713. 71 indexed citations

17.

DeNardo, David G., Donal J. Brennan, Elton Rexhepaj, et al.. (2011). Leukocyte Complexity Predicts Breast Cancer Survival and Functionally Regulates Response to Chemotherapy. Cancer Discovery. 1(1). 54–67. 1320 indexed citations breakdown →

18.

O’Grady, Anthony, Robert Cummins, Bruno Murer, et al.. (2011). Sustained Expression of Steroid Receptor Coactivator SRC-2/TIF-2 is Associated with Better Prognosis in Malignant Pleural Mesothelioma. Journal of Thoracic Oncology. 7(1). 243–248. 9 indexed citations

19.

Leonard, Martin O., Katherine B. Howell, Stephen F. Madden, et al.. (2008). Hypoxia Selectively Activates the CREB Family of Transcription Factors in the In Vivo Lung. American Journal of Respiratory and Critical Care Medicine. 178(9). 977–983. 55 indexed citations

20.

Jiang, Yide, Wen Zhang, Jeffery M. Klco, et al.. (2003). Gene expression profiling in a renal cell carcinoma cell line: dissecting VHL and hypoxia-dependent pathways.. PubMed. 1(6). 453–62. 103 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.

Explore authors with similar magnitude of impact