Musaddiq Awan

2.1k citations
63 papers · 913 · h-index 17

Impact in

Papers in

    • Head and Neck Cancer Studies 31
    • Radiomics and Machine Learning in Medical Imaging 13
    • Medical Imaging Techniques and Applications 12
    • Advanced MRI Techniques and Applications 6
    • Radiation Dose and Imaging 4
    • MRI in cancer diagnosis 4

Musaddiq Awan

56 papers receiving 907 citations

Peers

Musaddiq Awan
Comparison fields: 5 of 81
  • Otorhinolaryngology 268
  • Radiation 304
  • Radiology, Nuclear Medicine and Imaging 348
  • Dermatology 87
  • Health Informatics 12
Replace Valentina Lancellotta with:
Valentina Lancellotta Italy
Stefania Volpe Italy
Stefano Ursino Italy
Louis Tak Lui Taiwan
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Bruno Fionda Italy
Jaiprakash Agarwal India
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Avi Eisbruch United States
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Citations per field
00.5×9.5×
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Citations per year

Countries citing papers authored by Musaddiq Awan

Since Specialization
Citations

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

Fields of papers citing papers by Musaddiq Awan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Musaddiq Awan, 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 Musaddiq Awan Line = papers co-authored together Musaddiq Awan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019120
2 201492
3 202170
4 201854
5 201449
6 201448
7 202045
8 200844
9 201630
10 201927
11 201726
12 201925
13 202224
14 201519
15 201217
16 201817
17 201917
18 201415
19 201714
20 201914

About Musaddiq Awan

Musaddiq Awan is a scholar working on Otorhinolaryngology, Radiology, Nuclear Medicine and Imaging, Surgery, Radiation and Pulmonary and Respiratory Medicine, having authored 63 papers that have together received 913 indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (31 papers), Advanced Radiotherapy Techniques (20 papers), Radiomics and Machine Learning in Medical Imaging (13 papers), Medical Imaging Techniques and Applications (12 papers), Head and Neck Surgical Oncology (9 papers), Advanced MRI Techniques and Applications (6 papers), Radiation Dose and Imaging (4 papers) and MRI in cancer diagnosis (4 papers). The work is most often cited by research in Otorhinolaryngology (268 citations), Radiation (304 citations), Radiology, Nuclear Medicine and Imaging (348 citations), Dermatology (87 citations) and Health Informatics (12 citations). Musaddiq Awan has collaborated with scholars based in United States, Egypt and Netherlands. Frequent co-authors include Clifton D. Fuller, David I. Rosenthal, G. Brandon Gunn, Abdallah Mohamed, Adam S. Garden, Bradley A. Erickson, X. Allen Li, Christopher J. Schultz, Upendra Parvathaneni and Ivan Buzurović. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Oral Oncology, Medical Physics, Radiotherapy and Oncology and Practical Radiation Oncology.

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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