Debra Kush
Impact in
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- Lung Cancer Research Studies
-
- Lung Cancer Treatments and Mutations
- Lung Cancer Diagnosis and Treatment
Papers in
- Co-authors
- Yi‐Long Wu (7 shared papers)Gilberto de Castro (3 shared papers)Gilberto Lopes (2 shared papers)Yale Mitchel (5 shared papers)Tony Mok (5 shared papers)Enriqueta Felip (4 shared papers)Martin Reck (2 shared papers)Yukio Hosomi (2 shared papers)
- Journals
- Journal of Thoracic Oncology (4 papers)Journal of Clinical Oncology (3 papers)Atherosclerosis (2 papers)Journal of Lipid Research (1 paper)Cardiology (1 paper)
- Partner nations
- United StatesChinaSpain
In The Last Decade
Debra Kush
19 papers receiving 697 citations
Peers
Comparison fields: 5 of 50
- Oncology 400
- Pulmonary and Respiratory Medicine 200
- Geriatrics and Gerontology 18
- Cancer Research 75
- Endocrinology, Diabetes and Metabolism 71
Countries citing papers authored by Debra Kush
This map shows the geographic impact of Debra Kush'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 Kush with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debra Kush more than expected).
Fields of papers citing papers by Debra Kush
This network shows the impact of papers produced by Debra Kush. 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 Kush. The network helps show where Debra Kush may publish in the future.
Co-authors
The 25 scholars most cited alongside Debra Kush, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 202 | |
| 2 | 2018 | 138 | |
| 3 | 2004 | 110 | |
| 4 | 2020 | 78 | |
| 5 | 2007 | 67 | |
| 6 | 2009 | 16 | |
| 7 | 2008 | 14 | |
| 8 | 2017 | 14 | |
| 9 | 2019 | 14 | |
| 10 | 2016 | 13 | |
| 11 | 2023 | 8 | |
| 12 | 2018 | 8 | |
| 13 | 2019 | 7 | |
| 14 | 2019 | 6 | |
| 15 | 2020 | 5 | |
| 16 | 2004 | 5 | |
| 17 | 2016 | 4 | |
| 18 | 2009 | 3 | |
| 19 | 2021 | 3 | |
| 20 | 1999 | 1 |
About Debra Kush
Debra Kush is a scholar working on Oncology, Surgery, Pulmonary and Respiratory Medicine, Cancer Research and Economics and Econometrics, having authored 21 papers that have together received 716 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (13 papers), Lipoproteins and Cardiovascular Health (5 papers), Lung Cancer Treatments and Mutations (5 papers), Cancer Genomics and Diagnostics (4 papers), Bladder and Urothelial Cancer Treatments (3 papers), Lung Cancer Diagnosis and Treatment (3 papers), Pharmaceutical Economics and Policy (2 papers) and Esophageal Cancer Research and Treatment (2 papers). The work is most often cited by research in Oncology (400 citations), Pulmonary and Respiratory Medicine (200 citations), Geriatrics and Gerontology (18 citations), Cancer Research (75 citations) and Endocrinology, Diabetes and Metabolism (71 citations). Debra Kush has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Yi‐Long Wu, Gilberto de Castro, Gilberto Lopes, Yale Mitchel, Tony Mok, Enriqueta Felip, Martin Reck, Yukio Hosomi, Kaname Nosaki and Kazuo Noguchi. Their work appears in journals such as Journal of Thoracic Oncology, Journal of Clinical Oncology, Atherosclerosis, Journal of Lipid Research and Cardiology.
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.