Mubarik Arshad

1.1k total citations
17 papers, 800 citations indexed

About

Mubarik Arshad is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Reproductive Medicine. According to data from OpenAlex, Mubarik Arshad has authored 17 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pulmonary and Respiratory Medicine, 7 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Reproductive Medicine. Recurrent topics in Mubarik Arshad's work include Radiomics and Machine Learning in Medical Imaging (4 papers), Medical Imaging Techniques and Applications (4 papers) and Ovarian cancer diagnosis and treatment (4 papers). Mubarik Arshad is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Medical Imaging Techniques and Applications (4 papers) and Ovarian cancer diagnosis and treatment (4 papers). Mubarik Arshad collaborates with scholars based in United Kingdom, Italy and Australia. Mubarik Arshad's co-authors include Daqing Ma, Robert D. Sanders, Mervyn Maze, Nicholas P. Franks, Mahmuda Hossain, Nishanthan Rajakumaraswamy, A. David Edwards, Andre Chow, Huseyin Mehmet and Eric O. Aboagye and has published in prestigious journals such as Nature Communications, Annals of Neurology and European Journal of Pharmacology.

In The Last Decade

Mubarik Arshad

15 papers receiving 779 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mubarik Arshad United Kingdom 12 278 233 162 155 148 17 800
Peter Onody France 13 88 0.3× 137 0.6× 166 1.0× 56 0.4× 78 0.5× 17 795
Wolfgang M. Schaefer Germany 21 63 0.2× 773 3.3× 129 0.8× 169 1.1× 17 0.1× 59 1.5k
Hans Rahbek Sørensen Denmark 14 43 0.2× 71 0.3× 111 0.7× 75 0.5× 36 0.2× 28 683
K. Kirov France 14 57 0.2× 70 0.3× 129 0.8× 66 0.4× 9 0.1× 34 783
Damian D. McLeod Australia 17 35 0.1× 174 0.7× 73 0.5× 66 0.4× 79 0.5× 35 833
G Lutterbey Germany 16 14 0.1× 600 2.6× 311 1.9× 59 0.4× 14 0.1× 30 1.3k
Felix Durity Canada 20 44 0.2× 66 0.3× 84 0.5× 24 0.2× 96 0.6× 41 1.1k
Thomas Frietsch Germany 16 40 0.1× 51 0.2× 152 0.9× 485 3.1× 44 0.3× 56 1.0k
Axel Moysich Germany 11 87 0.3× 61 0.3× 255 1.6× 32 0.2× 140 0.9× 21 585
Patricia Fogarty Mack United States 14 129 0.5× 27 0.1× 49 0.3× 77 0.5× 25 0.2× 29 689

Countries citing papers authored by Mubarik Arshad

Since Specialization
Citations

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

Fields of papers citing papers by Mubarik Arshad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mubarik Arshad

This figure shows the co-authorship network connecting the top 25 collaborators of Mubarik Arshad. A scholar is included among the top collaborators of Mubarik Arshad based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mubarik Arshad. Mubarik Arshad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Khan, Shafaat Yar, et al.. (2025). Startle epilepsy triggered by a light bump: a rare case confirmed with ambulatory electroencephelography. International Journal of Research in Medical Sciences. 13(6). 2654–2657.
2.
Avesani, Giacomo, Mubarik Arshad, Haonan Lu, et al.. (2020). Radiological assessment of Peritoneal Cancer Index on preoperative CT in ovarian cancer is related to surgical outcome and survival. La radiologia medica. 125(8). 770–776. 29 indexed citations
3.
4.
Arshad, Mubarik, Henry Tam, Neva Patel, et al.. (2020). Optimal method for metabolic tumour volume assessment of cervical cancers with inter-observer agreement on [18F]-fluoro-deoxy-glucose positron emission tomography with computed tomography. European Journal of Nuclear Medicine and Molecular Imaging. 48(6). 2009–2023. 3 indexed citations
5.
Arshad, Mubarik, et al.. (2020). Immunotherapy-related adverse effects on 18F-FDG PET/CT imaging. British Journal of Radiology. 93(1111). 20190832–20190832. 36 indexed citations
6.
Arshad, Mubarik, et al.. (2020). Interobserver agreement of the visual Herder scale for the assessment of solitary pulmonary nodules on 18F Fluorodeoxyglucose PET/computed tomography. Nuclear Medicine Communications. 41(3). 235–240. 2 indexed citations
7.
Lu, Haonan, Mubarik Arshad, Andrew Thornton, et al.. (2019). A mathematical-descriptor of tumor-mesoscopic-structure from computed-tomography images annotates prognostic- and molecular-phenotypes of epithelial ovarian cancer. Nature Communications. 10(1). 764–764. 128 indexed citations
8.
Arshad, Mubarik, et al.. (2019). FDG-PET Imaging in Cervical Cancer. Seminars in Nuclear Medicine. 49(6). 461–470. 27 indexed citations
9.
Arshad, Mubarik, et al.. (2019). Osteoporosis Circumscripta on 68Ga-DOTATATE PET CT. Clinical Nuclear Medicine. 44(6). e404–e405. 2 indexed citations
10.
Sharma, Rohini, Marianna Inglese, Suraiya Dubash, et al.. (2019). [18F]Fluciclatide PET as a biomarker of response to combination therapy of pazopanib and paclitaxel in platinum-resistant/refractory ovarian cancer. European Journal of Nuclear Medicine and Molecular Imaging. 47(5). 1239–1251. 14 indexed citations
11.
Arshad, Mubarik, Andrew Thornton, Haonan Lu, et al.. (2018). Discovery of pre-therapy 2-deoxy-2-18F-fluoro-D-glucose positron emission tomography-based radiomics classifiers of survival outcome in non-small-cell lung cancer patients. European Journal of Nuclear Medicine and Molecular Imaging. 46(2). 455–466. 53 indexed citations
12.
Arshad, Mubarik, et al.. (2017). What’s New in Imaging for Gynecologic Cancer?. Current Oncology Reports. 19(12). 85–85. 16 indexed citations
13.
Alam, Israt S., Mubarik Arshad, Quang‐Dé Nguyen, & Eric O. Aboagye. (2015). Radiopharmaceuticals as probes to characterize tumour tissue. European Journal of Nuclear Medicine and Molecular Imaging. 42(4). 537–561. 12 indexed citations
14.
Kayani, Babar, George Garas, Mubarik Arshad, et al.. (2013). Is hand-sewn anastomosis superior to stapled anastomosis following oesophagectomy?. International Journal of Surgery. 12(1). 7–15. 17 indexed citations
15.
Ma, Daqing, Mahmuda Hossain, Andre Chow, et al.. (2005). Xenon and hypothermia combine to provide neuroprotection from neonatal asphyxia. Annals of Neurology. 58(2). 182–193. 210 indexed citations
16.
Ma, Daqing, Mahmuda Hossain, Nishanthan Rajakumaraswamy, et al.. (2004). Dexmedetomidine produces its neuroprotective effect via the α2A-adrenoceptor subtype. European Journal of Pharmacology. 502(1-2). 87–97. 239 indexed citations
17.
Arshad, Mubarik, et al.. (2004). Xenon Exhibits Its Neuroprotection Through an Anti-Apoptotic Mechanism. Journal of Neurosurgical Anesthesiology. 16(4). 350–351.

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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