Ramona Dadu

6.8k citations
94 papers · 2.9k indexed · h-index 30

Impact in

Papers in

Ramona Dadu

85 papers receiving 2.9k citations

Peers

Ramona Dadu
Comparison fields: 5 of 97
  • Endocrinology, Diabetes and Metabolism 1.8k
  • Oncology 1.5k
  • Anatomy 27
  • Genetics 460
  • Pathology and Forensic Medicine 285
Replace Liborio Torregrossa with:
Liborio Torregrossa Italy
David Viola Italy
Valeria Bottici Italy
Dario Giuffrida Italy
Dong Eun Song South Korea
Laura Agate Italy
Tomonori Yabuta Japan
John Chung United States
Elham Khanafshar United States
Marie‐Elisabeth Toubert France
Ramona Dadu relative to Liborio Torregrossa Italy Liborio Torregrossa's profile →
Citations per field
00.5×3.5×
Liborio Torregrossa · 1×
Citations per year

Countries citing papers authored by Ramona Dadu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ramona Dadu Line = papers co-authored together Ramona Dadu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20250
4 20240
5 20248
6 20243
7 202410
8 202434
9 202412
10 20241
11 202245
12 202134
13 202068
14 20208
15 2019150
16 201788
17 201622
18 201374
19 20106
20 20102

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.

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