Debra Hanks
Impact in
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Colorectal Cancer Treatments and Studies
- Gastroenterology top 10%
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 6
- Monoclonal and Polyclonal Antibodies Research 2
- Oncology 7
- Cancer Immunotherapy and Biomarkers 6
- Co-authors
- Jonathan Juco (3 shared papers)Kenneth Emancipator (3 shared papers)Karina Kulangara (3 shared papers)Supriya Shah (2 shared papers)Jared Lunceford (2 shared papers)Jiangdian Wang (2 shared papers)Mary J. Savage (2 shared papers)Nancy R. Zhang (1 shared paper)
- Journals
- Journal of Clinical Oncology (6 papers)Applied immunohistochemistry & molecular morphology (1 paper)Archives of Pathology & Laboratory Medicine (1 paper)Annals of Oncology (1 paper)Scientific Reports (1 paper)
- Partner nations
- United States
In The Last Decade
Debra Hanks
10 papers receiving 525 citations
Debra Hanks's Hit Papers
Peers
Comparison fields: 5 of 40
- Oncology 327
- Gastroenterology 27
- Otorhinolaryngology 21
- Pulmonary and Respiratory Medicine 127
- Cancer Research 50
Countries citing papers authored by Debra Hanks
This map shows the geographic impact of Debra Hanks'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 Debra Hanks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debra Hanks more than expected).
Fields of papers citing papers by Debra Hanks
This network shows the impact of papers produced by Debra Hanks. 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 Debra Hanks. The network helps show where Debra Hanks may publish in the future.
Co-authors
The 25 scholars most cited alongside Debra Hanks, 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 | Clinical Utility of the Combined Positive Score for Programmed Death Ligand-1 Expression and the Approval of Pembrolizumab for Treatment of Gastric Cancer Hit paper breakdown → | 2018 | 390 |
| 2 | 2017 | 69 | |
| 3 | 2021 | 38 | |
| 4 | 2022 | 13 | |
| 5 | 2018 | 11 | |
| 6 | 2020 | 3 | |
| 7 | 2017 | 2 | |
| 8 | 2017 | 1 | |
| 9 | 2017 | 1 | |
| 10 | 2017 | 1 |
About Debra Hanks
Debra Hanks is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Surgery, Pulmonary and Respiratory Medicine and Artificial Intelligence, having authored 10 papers that have together received 529 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (6 papers), Cancer Immunotherapy and Biomarkers (6 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Colorectal and Anal Carcinomas (2 papers), AI in cancer detection (2 papers), Lung Cancer Diagnosis and Treatment (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Oncology (327 citations), Gastroenterology (27 citations), Otorhinolaryngology (21 citations), Pulmonary and Respiratory Medicine (127 citations) and Cancer Research (50 citations). Debra Hanks has collaborated with scholars based in United States. Frequent co-authors include Jonathan Juco, Kenneth Emancipator, Karina Kulangara, Supriya Shah, Jared Lunceford, Jiangdian Wang, Mary J. Savage, Nancy R. Zhang, Malinka Jansson and Ellie Corigliano. Their work appears in journals such as Journal of Clinical Oncology, Applied immunohistochemistry & molecular morphology, Archives of Pathology & Laboratory Medicine, Annals of Oncology and Scientific Reports.
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.