Ramona Dadu
Impact in
-
- Thyroid Cancer Diagnosis and Treatment
- Oncology top 2%
- Cancer Immunotherapy and Biomarkers
- Cancer-related Molecular Pathways
- Colorectal Cancer Treatments and Studies
Papers in
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- Thyroid Cancer Diagnosis and Treatment 59
- Oncology 45
- Cancer-related Molecular Pathways 19
- Cancer Immunotherapy and Biomarkers 12
- Pancreatic and Hepatic Oncology Research 7
- Co-authors
- Maria E. CabanillasNaifa L. BusaidyMark ZafereoMichelle D. WilliamsMimi I. HuSteven G. WaguespackPriyanka IyerG. Brandon Gunn
- Journals
- Thyroid (16 papers)Journal of Clinical Oncology (13 papers)The Journal of Clinical Endocrinology & Metabolism (6 papers)Journal for ImmunoTherapy of Cancer (4 papers)Head & Neck (3 papers)
- Partner nations
- United StatesUnited KingdomEgypt
In The Last Decade
Ramona Dadu
85 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 97
- Endocrinology, Diabetes and Metabolism 1.8k
- Oncology 1.5k
- Anatomy 27
- Genetics 460
- Pathology and Forensic Medicine 285
Countries citing papers authored by Ramona Dadu
This map shows the geographic impact of Ramona Dadu'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 Ramona Dadu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramona Dadu more than expected).
Fields of papers citing papers by Ramona Dadu
This network shows the impact of papers produced by Ramona Dadu. 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 Ramona Dadu. The network helps show where Ramona Dadu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ramona Dadu, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 8 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 10 | |
| 8 | 2024 | 34 | |
| 9 | 2024 | 12 | |
| 10 | 2024 | 1 | |
| 11 | 2022 | 45 | |
| 12 | 2021 | 34 | |
| 13 | 2020 | 68 | |
| 14 | 2020 | 8 | |
| 15 | 2019 | 150 | |
| 16 | 2017 | 88 | |
| 17 | 2016 | 22 | |
| 18 | 2013 | 74 | |
| 19 | 2010 | 6 | |
| 20 | 2010 | 2 |
About Ramona Dadu
Ramona Dadu is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology, Genetics, Pulmonary and Respiratory Medicine and Internal Medicine, having authored 94 papers that have together received 2.9k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (59 papers), Cancer-related Molecular Pathways (19 papers), BRCA gene mutations in cancer (14 papers), Cancer Immunotherapy and Biomarkers (12 papers), Lung Cancer Treatments and Mutations (8 papers), Pancreatic and Hepatic Oncology Research (7 papers), Thyroid and Parathyroid Surgery (6 papers) and Neuroendocrine Tumor Research Advances (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.8k citations), Oncology (1.5k citations), Anatomy (27 citations), Genetics (460 citations) and Pathology and Forensic Medicine (285 citations). Ramona Dadu has collaborated with scholars based in United States, United Kingdom and Egypt. Frequent co-authors include Maria E. Cabanillas, Naifa L. Busaidy, Mark Zafereo, Michelle D. Williams, Mimi I. Hu, Steven G. Waguespack, Priyanka Iyer, G. Brandon Gunn, Renata Ferrarotto and Neil D. Gross. Their work appears in journals such as Thyroid, Journal of Clinical Oncology, The Journal of Clinical Endocrinology & Metabolism, Journal for ImmunoTherapy of Cancer and Head & Neck.
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.