Debra Bell
Impact in
- Cancer Research top 0.05%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- Oncology top 0.2%
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Cancer Genomics and Diagnostics 20
- Oncology 16
- PARP inhibition in cancer therapy 5
- Cancer-related Molecular Pathways 5
- Co-authors
- Franz M. Enzinger (1 shared paper)Archna Sharma (1 shared paper)Joseph W. Carlson (1 shared paper)Sofia Westbom-Fremer (1 shared paper)Elizabeth H. Cheek (1 shared paper)Benjamin W. Teh (1 shared paper)Christopher R.J. Woodhouse (1 shared paper)John Kenneth Schoolmeester (1 shared paper)
- Journals
- Cell Reports (12 papers)Cell (9 papers)Cancer Cell (5 papers)Cell Systems (3 papers)Immunity (2 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Debra Bell
44 papers receiving 30.7k citations
Debra Bell's Hit Papers
Peers
Comparison fields: 5 of 155
- Cancer Research 9.1k
- Oncology 8.6k
- Reproductive Medicine 2.0k
- Molecular Biology 15.1k
- Pulmonary and Respiratory Medicine 5.3k
Countries citing papers authored by Debra Bell
This map shows the geographic impact of Debra Bell'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 Bell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debra Bell more than expected).
Fields of papers citing papers by Debra Bell
This network shows the impact of papers produced by Debra Bell. 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 Bell. The network helps show where Debra Bell may publish in the future.
Co-authors
The 25 scholars most cited alongside Debra Bell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Integrated genomic analyses of ovarian carcinoma Hit paper breakdown → | 2011 | 6345 |
| 2 | The Immune Landscape of Cancer Hit paper breakdown → | 2018 | 4331 |
| 3 | An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics Hit paper breakdown → | 2018 | 2602 |
| 4 | Oncogenic Signaling Pathways in The Cancer Genome Atlas Hit paper breakdown → | 2018 | 2334 |
| 5 | Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer Hit paper breakdown → | 2018 | 1720 |
| 6 | Comprehensive Characterization of Cancer Driver Genes and Mutations Hit paper breakdown → | 2018 | 1714 |
| 7 | Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation Hit paper breakdown → | 2018 | 1617 |
| 8 | Genomic and Molecular Landscape of DNA Damage Repair Deficiency across The Cancer Genome Atlas Hit paper breakdown → | 2018 | 810 |
| 9 | Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images Hit paper breakdown → | 2018 | 761 |
| 10 | Genomic and Functional Approaches to Understanding Cancer Aneuploidy Hit paper breakdown → | 2018 | 749 |
| 11 | Comprehensive Analysis of Alternative Splicing Across Tumors from 8,705 Patients Hit paper breakdown → | 2018 | 685 |
| 12 | Pathogenic Germline Variants in 10,389 Adult Cancers Hit paper breakdown → | 2018 | 606 |
| 13 | Scalable Open Science Approach for Mutation Calling of Tumor Exomes Using Multiple Genomic Pipelines Hit paper breakdown → | 2018 | 583 |
| 14 | The Cancer Genome Atlas Comprehensive Molecular Characterization of Renal Cell Carcinoma Hit paper breakdown → | 2018 | 569 |
| 15 | A Comprehensive Pan-Cancer Molecular Study of Gynecologic and Breast Cancers Hit paper breakdown → | 2018 | 456 |
| 16 | Driver Fusions and Their Implications in the Development and Treatment of Human Cancers Hit paper breakdown → | 2018 | 451 |
| 17 | The Immune Landscape of Cancer Hit paper breakdown → | 2019 | 449 |
| 18 | Comparative Molecular Analysis of Gastrointestinal Adenocarcinomas Hit paper breakdown → | 2018 | 423 |
| 19 | 2018 | 392 | |
| 20 | Comprehensive Molecular Characterization of the Hippo Signaling Pathway in Cancer Hit paper breakdown → | 2018 | 372 |
About Debra Bell
Debra Bell is a scholar working on Cancer Research, Oncology, Reproductive Medicine, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 44 papers that have together received 31.1k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (20 papers), Ovarian cancer diagnosis and treatment (6 papers), Ferroptosis and cancer prognosis (5 papers), PARP inhibition in cancer therapy (5 papers), Genetic factors in colorectal cancer (5 papers), RNA modifications and cancer (5 papers), Cancer-related Molecular Pathways (5 papers) and DNA Repair Mechanisms (5 papers). The work is most often cited by research in Cancer Research (9.1k citations), Oncology (8.6k citations), Reproductive Medicine (2.0k citations), Molecular Biology (15.1k citations) and Pulmonary and Respiratory Medicine (5.3k citations). Debra Bell has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Franz M. Enzinger, Archna Sharma, Joseph W. Carlson, Sofia Westbom-Fremer, Elizabeth H. Cheek, Benjamin W. Teh, Christopher R.J. Woodhouse, John Kenneth Schoolmeester, Denis J. Morgan and Mehran Ghaderi. Their work appears in journals such as Cell Reports, Cell, Cancer Cell, Cell Systems and Immunity.
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.