Nancy Patten
Impact in
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment
Papers in
- Co-authors
- Lin Wu (6 shared papers)Lin Wu (2 shared papers)Carl T. Yamashiro (2 shared papers)Hannes Herholz (2 shared papers)Wolfgang Kern (2 shared papers)Frank Dicker (2 shared papers)Claudia Haferlach (2 shared papers)Torsten Haferlach (2 shared papers)
- Journals
- Blood (4 papers)Journal of Clinical Oncology (2 papers)Cancer Research (2 papers)Molecular Cancer Therapeutics (1 paper)Applied immunohistochemistry & molecular morphology (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Nancy Patten
17 papers receiving 619 citations
Peers
Comparison fields: 5 of 74
- Genetics 219
- Pathology and Forensic Medicine 196
- Cancer Research 119
- Oncology 208
- Immunology 107
Countries citing papers authored by Nancy Patten
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
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-authors
The 25 scholars most cited alongside Nancy Patten, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 159 | |
| 2 | 2006 | 119 | |
| 3 | 2007 | 101 | |
| 4 | 2002 | 69 | |
| 5 | 2010 | 45 | |
| 6 | 2000 | 28 | |
| 7 | 2002 | 27 | |
| 8 | 2011 | 22 | |
| 9 | 2002 | 20 | |
| 10 | 2006 | 15 | |
| 11 | 2009 | 12 | |
| 12 | 2014 | 9 | |
| 13 | 2008 | 3 | |
| 14 | Complete p53 multi-exon sequencing by gene chip complements use of p53 immunohistochemistry for prediction of clinical outcome in invasive bladder cancer | 2004 | 2 |
| 15 | 2007 | 2 | |
| 16 | 2009 | 1 | |
| 17 | 2007 | 1 | |
| 18 | 2025 | 0 |
About Nancy Patten
Nancy Patten is a scholar working on Genetics, Oncology, Pathology and Forensic Medicine, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 18 papers that have together received 635 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (8 papers), Cancer-related Molecular Pathways (7 papers), Lymphoma Diagnosis and Treatment (4 papers), Advanced Breast Cancer Therapies (2 papers), RNA Research and Splicing (2 papers), HIV/AIDS drug development and treatment (2 papers), Cancer Genomics and Diagnostics (1 paper) and Prostate Cancer Treatment and Research (1 paper). The work is most often cited by research in Genetics (219 citations), Pathology and Forensic Medicine (196 citations), Cancer Research (119 citations), Oncology (208 citations) and Immunology (107 citations). Nancy Patten has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Lin Wu, Lin Wu, Carl T. Yamashiro, Hannes Herholz, Wolfgang Kern, Frank Dicker, Claudia Haferlach, Torsten Haferlach, Susanne Schnittger and Dimcho Bachvarov. Their work appears in journals such as Blood, Journal of Clinical Oncology, Cancer Research, Molecular Cancer Therapeutics and Applied immunohistochemistry & molecular morphology.
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.