Bret Wacker
Impact in
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research
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- Lymphoma Diagnosis and Treatment
Papers in
-
- Lung Cancer Treatments and Mutations 7
- Lung Cancer Diagnosis and Treatment 2
- Oncology 4
- Lung Cancer Research Studies 2
- Co-authors
- P. Santabárbara (2 shared papers)Lee Brettman (2 shared papers)Michael J. Keating (1 shared paper)Vinay Jain (1 shared paper)John C. Byrd (1 shared paper)Peter Hillmen (1 shared paper)Maher Albitar (1 shared paper)Jacques‐Louis Binet (1 shared paper)
- Journals
- Journal of Clinical Oncology (4 papers)Journal of Thoracic Oncology (2 papers)Blood (1 paper)Clinical Cancer Research (1 paper)British Journal of Cancer (1 paper)
- Partner nations
- United StatesNetherlandsSouth Africa
In The Last Decade
Bret Wacker
10 papers receiving 1.4k citations
Bret Wacker's Hit Papers
Peers
Comparison fields: 5 of 56
- Genetics 713
- Pathology and Forensic Medicine 532
- Immunology 363
- Oncology 433
- Hematology 167
Countries citing papers authored by Bret Wacker
This map shows the geographic impact of Bret Wacker'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 Bret Wacker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bret Wacker more than expected).
Fields of papers citing papers by Bret Wacker
This network shows the impact of papers produced by Bret Wacker. 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 Bret Wacker. The network helps show where Bret Wacker may publish in the future.
Co-authors
The 25 scholars most cited alongside Bret Wacker, 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 | Therapeutic role of alemtuzumab (Campath-1H) in patients who have failed fludarabine: results of a large international study Hit paper breakdown → | 2002 | 709 |
| 2 | 2007 | 312 | |
| 3 | 2002 | 235 | |
| 4 | 2011 | 67 | |
| 5 | The evaluation of E-Cadherin and vimentin as biomarkers of clinical outcomes among patients with non-small cell lung cancer treated with erlotinib as second- or third-line therapy. | 2012 | 40 |
| 6 | 2011 | 36 | |
| 7 | 2009 | 9 | |
| 8 | 2011 | 8 | |
| 9 | 2007 | 4 | |
| 10 | 2007 | 1 |
About Bret Wacker
Bret Wacker is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Genetics, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 10 papers that have together received 1.4k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (7 papers), Chronic Lymphocytic Leukemia Research (2 papers), Lung Cancer Research Studies (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Cancer-related gene regulation (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper) and Lymphoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Genetics (713 citations), Pathology and Forensic Medicine (532 citations), Immunology (363 citations), Oncology (433 citations) and Hematology (167 citations). Bret Wacker has collaborated with scholars based in United States, Netherlands and South Africa. Frequent co-authors include P. Santabárbara, Lee Brettman, Michael J. Keating, Vinay Jain, John C. Byrd, Peter Hillmen, Maher Albitar, Jacques‐Louis Binet, Ian W. Flinn and Karsten Witt. Their work appears in journals such as Journal of Clinical Oncology, Journal of Thoracic Oncology, Blood, Clinical Cancer Research and British Journal of Cancer.
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.