Nadia Nada

1.4k citations
22 papers · 1.2k · h-index 17

Impact in

Papers in

Nadia Nada

21 papers receiving 1.1k citations

Peers

Nadia Nada
Comparison fields: 5 of 63
  • Otorhinolaryngology 164
  • Radiology, Nuclear Medicine and Imaging 419
  • Orthopedics and Sports Medicine 59
  • Neurology 98
  • Endocrinology, Diabetes and Metabolism 92
Replace Laméris Js with:
Laméris Js Netherlands
Anthony Ciarallo Canada
G S Weinstein United States
Leszek Miszczyk Poland
R.P. Golding Netherlands
H. Schedel Germany
Ken Motoori Japan
Laura Masi Italy
Hitoshi Sugiura Japan
Martin Hüllner Switzerland
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Citations per field
00.5×7.7×
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Citations per year

Countries citing papers authored by Nadia Nada

Since Specialization
Citations

This map shows the geographic impact of Nadia Nada'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 Nadia Nada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadia Nada more than expected).

Fields of papers citing papers by Nadia Nada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nadia Nada. 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 Nadia Nada. The network helps show where Nadia Nada may publish in the future.

Co-authors

The 15 scholars most cited alongside Nadia Nada, 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 Nadia Nada Line = papers co-authored together Nadia Nada links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007171
2 2010123
3 2008105
4 2007103
5 201174
6 200872
7 201472
8 201671
9 200961
10 201554
11 201542
12 201839
13 201532
14 200831
15 201329
16 200527
17 201922
18 198511
19 20108
20 20126

About Nadia Nada

Nadia Nada is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Pathology and Forensic Medicine, Otorhinolaryngology and Neurology, having authored 22 papers that have together received 1.2k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (4 papers), Salivary Gland Tumors Diagnosis and Treatment (3 papers), Head and Neck Cancer Studies (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Breast Lesions and Carcinomas (2 papers), Parasites and Host Interactions (1 paper), Endometrial and Cervical Cancer Treatments (1 paper) and Fetal and Pediatric Neurological Disorders (1 paper). The work is most often cited by research in Otorhinolaryngology (164 citations), Radiology, Nuclear Medicine and Imaging (419 citations), Orthopedics and Sports Medicine (59 citations), Neurology (98 citations) and Endocrinology, Diabetes and Metabolism (92 citations). Nadia Nada has collaborated with scholars based in Egypt, United States and Indonesia. Frequent co-authors include Ahmed Abdel Khalek Abdel Razek, Gada Gaballa, Adel Denewer, Nermin Soliman, Sahar M. Elkhamary, Ahmed Galal Sadek, Arash Motamed, Ahmed M. Tawfik, Omar Farouk and Mahmoud Lotfy. Their work appears in journals such as European Archives of Oto-Rhino-Laryngology, European Journal of Radiology, NMR in Biomedicine, American Journal of Neuroradiology and Archives of Gynecology and Obstetrics.

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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