Mubarik Arshad

28 total papers · 1.1k total citations
16 papers, 793 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 16 papers receiving a total of 793 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), Ovarian cancer diagnosis and treatment (4 papers) and Medical Imaging Techniques and Applications (4 papers). Mubarik Arshad is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Ovarian cancer diagnosis and treatment (4 papers) and Medical Imaging Techniques and Applications (4 papers). Mubarik Arshad collaborates with scholars based in United Kingdom, Italy and United States. Mubarik Arshad's co-authors include Robert D. Sanders, Daqing Ma, Mahmuda Hossain, Mervyn Maze, Nicholas P. Franks, 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 773 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Mubarik Arshad	276	228	161	154	147	16	793
Peter Onody	88 0.3×	137 0.6×	167 1.0×	56 0.4×	78 0.5×	17	795
Hans Rahbek Sørensen	43 0.2×	71 0.3×	111 0.7×	75 0.5×	36 0.2×	28	683
Adam Januszewski	480 1.7×	21 0.1×	65 0.4×	379 2.5×	59 0.4×	18	771
Stephen R. Hays	525 1.9×	33 0.1×	68 0.4×	273 1.8×	74 0.5×	15	748
Annie Poon	61 0.2×	68 0.3×	55 0.3×	106 0.7×	21 0.1×	28	873
Anthony C. Breuer	32 0.1×	68 0.3×	92 0.6×	20 0.1×	32 0.2×	21	824
J. A. Russell	39 0.1×	15 0.1×	86 0.5×	56 0.4×	41 0.3×	8	872
Shahar Bar-Yosef	226 0.8×	20 0.1×	78 0.5×	109 0.7×	51 0.3×	15	880
Bendicht Wagner	62 0.2×	73 0.3×	167 1.0×	53 0.3×	185 1.3×	23	685
Y. Takemoto	57 0.2×	58 0.3×	98 0.6×	59 0.4×	27 0.2×	32	710

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

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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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