Nancy Patten

1.6k total citations
18 papers, 635 citations indexed

About

Nancy Patten is a scholar working on Genetics, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Nancy Patten has authored 18 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 7 papers in Oncology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Nancy Patten's work include Chronic Lymphocytic Leukemia Research (8 papers), Cancer-related Molecular Pathways (7 papers) and Lymphoma Diagnosis and Treatment (4 papers). Nancy Patten is often cited by papers focused on Chronic Lymphocytic Leukemia Research (8 papers), Cancer-related Molecular Pathways (7 papers) and Lymphoma Diagnosis and Treatment (4 papers). Nancy Patten collaborates with scholars based in United States, Germany and United Kingdom. Nancy Patten's co-authors include Lin Wu, Lin Wu, Carl T. Yamashiro, Claudia Haferlach, Susanne Schnittger, Torsten Haferlach, Hannes Herholz, Frank Dicker, Wolfgang Kern and Marie Plante and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Cancer Research.

In The Last Decade

Nancy Patten

17 papers receiving 619 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nancy Patten United States 11 219 216 208 196 123 18 635
Paul N. Meyer United States 11 201 0.9× 167 0.8× 281 1.4× 397 2.0× 151 1.2× 19 660
Alexander S. Thomas United States 10 347 1.6× 268 1.2× 317 1.5× 189 1.0× 79 0.6× 21 681
Liliana Terrin Italy 13 98 0.4× 322 1.5× 202 1.0× 158 0.8× 64 0.5× 21 707
Azra Alvi United Kingdom 10 284 1.3× 425 2.0× 503 2.4× 163 0.8× 101 0.8× 10 823
J. Yau United States 13 60 0.3× 270 1.3× 275 1.3× 152 0.8× 82 0.7× 19 700
Kedar Inamdar United States 15 156 0.7× 393 1.8× 253 1.2× 276 1.4× 63 0.5× 39 772
Stephan W. Morris United States 11 129 0.6× 271 1.3× 253 1.2× 348 1.8× 97 0.8× 13 711
Shivakumar Subramaniyam United States 10 74 0.3× 350 1.6× 177 0.9× 147 0.8× 47 0.4× 21 624
T. Megha Italy 9 59 0.3× 157 0.7× 216 1.0× 190 1.0× 67 0.5× 15 504
Raymond D. Pastore United States 6 176 0.8× 545 2.5× 216 1.0× 97 0.5× 65 0.5× 11 768

Countries citing papers authored by Nancy Patten

Since Specialization
Citations

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

Fields of papers citing papers by Nancy Patten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nancy Patten

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

All Works

18 of 18 papers shown
1.
Han, Wanting, Nancy Patten, Susan Patalano, et al.. (2025). Heterogeneous Responses to High-Dose Testosterone in Castration-Resistant Prostate Cancer Tumors with Mixed Rb-Proficient and Rb-Deficient Cells. Molecular Cancer Therapeutics. 24(5). 772–783.
2.
Kantorová, Barbara, Jitka Malčíková, Jana Šmardová, et al.. (2014). TP53 mutation analysis in chronic lymphocytic leukemia: comparison of different detection methods. Tumor Biology. 36(5). 3371–3380. 9 indexed citations
3.
Chiaretti, Sabina, Simona Tavolaro, M Marinelli, et al.. (2011). Evaluation of TP53 mutations with the AmpliChip p53 research test in chronic lymphocytic leukemia: Correlation with clinical outcome and gene expression profiling. Genes Chromosomes and Cancer. 50(4). 263–274. 22 indexed citations
4.
Baker, Lee D., Philip Quinlan, Nancy Patten, et al.. (2010). p53 mutation, deprivation and poor prognosis in primary breast cancer. British Journal of Cancer. 102(4). 719–726. 45 indexed citations
5.
6.
Zenz, Thorsten, Raymonde Busch, Dirk Winkler, et al.. (2009). TP53 Mutations and Outcome After Fludarabine and Cyclophosphamide (FC) or FC Plus Rituximab (FCR) in the CLL8 Trial of the GCLLSG.. Blood. 114(22). 1267–1267. 12 indexed citations
7.
Dicker, Frank, Hannes Herholz, Susanne Schnittger, et al.. (2008). The detection of TP53 mutations in chronic lymphocytic leukemia independently predicts rapid disease progression and is highly correlated with a complex aberrant karyotype. Leukemia. 23(1). 117–124. 159 indexed citations
8.
Zenz, Thorsten, Martin Trbušek, Axel Benner, et al.. (2008). TP53 Abnormalities in Chronic Lymphocytic Leukemia Exhibit a Disease Specific Profile: Meta-Analysis of 270 Mutations.. Blood. 112(11). 2077–2077. 3 indexed citations
9.
Dicker, Frank, Hannes Herholz, Susanne Schnittger, et al.. (2007). Screening for TP53 Mutations Identifies Chronic Lymphocytic Leukemia Patients with Rapid Disease Progression.. Blood. 110(11). 490–490. 2 indexed citations
10.
Thompson, Alastair M., Nancy Patten, Alexandra Diot, et al.. (2007). The clinical relevance of p53 isoforms modifying the effects of p53 mutation on survival from breast cancer. Journal of Clinical Oncology. 25(18_suppl). 10505–10505. 1 indexed citations
11.
George, Ben, Ram H. Datar, Lin Wu, et al.. (2007). p53 Gene and Protein Status: The Role of p53 Alterations in Predicting Outcome in Patients With Bladder Cancer. Journal of Clinical Oncology. 25(34). 5352–5358. 101 indexed citations
12.
L’Espérance, Sylvain, Ion Popa, Magdalena Bachvarova, et al.. (2006). Gene expression profiling of paired ovarian tumors obtained prior to and following adjuvant chemotherapy: Molecular signatures of chemoresistant tumors. International Journal of Oncology. 29(1). 5–24. 119 indexed citations
13.
Farinha, Pedro, Laurie H. Sehn, Brian Skinnider, et al.. (2006). Strong p53 Expression Is an Independent Predictor of Outcome in De Novo Diffuse Large B Cell Lymphoma (DLBCL) Treated with Either CHOP or CHOP-R.. Blood. 108(11). 812–812. 15 indexed citations
14.
George, Ben, Ram H. Datar, Lin Wu, et al.. (2004). Complete p53 multi-exon sequencing by gene chip complements use of p53 immunohistochemistry for prediction of clinical outcome in invasive bladder cancer. Cancer Research. 64. 411–411. 2 indexed citations
15.
Wu, Lin, et al.. (2002). Extraction and Amplification of DNA From Formalin-Fixed, Paraffin-Embedded Tissues. Applied immunohistochemistry & molecular morphology. 10(3). 269–274. 69 indexed citations
16.
Nikoloff, D M, Nancy Patten, Bonnie A. Fijal, et al.. (2002). Association between CYP2D6 genotype and tardive dyskinesia in Korean schizophrenics. The Pharmacogenomics Journal. 2(6). 400–407. 27 indexed citations
17.
Wu, Lin, et al.. (2002). . Applied Immunohistochemistry. 10(3). 269–274. 20 indexed citations
18.
Zaki, Mohamed H., Raymond S. Douglas, Nancy Patten, et al.. (2000). Disruption of the IFN-γ cytokine network in chronic lymphocytic leukemia contributes to resistance of leukemic B cells to apoptosis. Leukemia Research. 24(7). 611–621. 28 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

Breakdown of academic impact, for papers by Paul N. Meyer Breakdown of academic impact, for papers by Alexander S. Thomas Breakdown of academic impact, for papers by Liliana Terrin Breakdown of academic impact, for papers by Azra Alvi Breakdown of academic impact, for papers by J. Yau Breakdown of academic impact, for papers by Kedar Inamdar Breakdown of academic impact, for papers by Stephan W. Morris Breakdown of academic impact, for papers by Shivakumar Subramaniyam Breakdown of academic impact, for papers by T. Megha Breakdown of academic impact, for papers by Raymond D. Pastore
Rankless by CCL
2026