Ashik Amlani

615 total citations
7 papers, 366 citations indexed

About

Ashik Amlani is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Health Informatics. According to data from OpenAlex, Ashik Amlani has authored 7 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Surgery and 2 papers in Health Informatics. Recurrent topics in Ashik Amlani's work include Artificial Intelligence in Healthcare and Education (2 papers), Radiology practices and education (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Ashik Amlani is often cited by papers focused on Artificial Intelligence in Healthcare and Education (2 papers), Radiology practices and education (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Ashik Amlani collaborates with scholars based in United Kingdom and Germany. Ashik Amlani's co-authors include Keerthini Muthuswamy, Daniel Poon, Rohit Srinivasan, Cherry Sit, Ara Darzi, Asit Arora, George Garas, Konstantinos Chaidas, Neil Tolley and Bhik Kotecha and has published in prestigious journals such as Annals of Surgery, European Radiology and European Journal of Radiology.

In The Last Decade

Ashik Amlani

6 papers receiving 357 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ashik Amlani United Kingdom	5	257	161	75	39	38	7	366
Rohit Srinivasan United Kingdom	7	254 1.0×	163 1.0×	71 0.9×	36 0.9×	40 1.1×	16	403
Keerthini Muthuswamy United Kingdom	7	257 1.0×	167 1.0×	75 1.0×	35 0.9×	59 1.6×	13	422
Cherry Sit United Kingdom	6	254 1.0×	162 1.0×	71 0.9×	33 0.8×	37 1.0×	7	351
Yolanda Freire Spain	8	200 0.8×	98 0.6×	58 0.8×	23 0.6×	25 0.7×	18	368
Ural Koç Türkiye	8	189 0.7×	198 1.2×	83 1.1×	45 1.2×	12 0.3×	29	343
Sahar Borna United States	12	178 0.7×	59 0.4×	82 1.1×	43 1.1×	37 1.0×	47	398
Hanzhou Li United States	6	182 0.7×	146 0.9×	85 1.1×	13 0.3×	42 1.1×	24	350
Daniel Milad Canada	8	339 1.3×	272 1.7×	95 1.3×	15 0.4×	37 1.0×	32	511
Ryan S. Huang Canada	11	290 1.1×	231 1.4×	117 1.6×	9 0.2×	39 1.0×	73	460
Billy Cheung Hong Kong	8	94 0.4×	43 0.3×	43 0.6×	22 0.6×	59 1.6×	23	354

Countries citing papers authored by Ashik Amlani

Since Specialization

Citations

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

Fields of papers citing papers by Ashik Amlani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashik Amlani

This figure shows the co-authorship network connecting the top 25 collaborators of Ashik Amlani. A scholar is included among the top collaborators of Ashik Amlani 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 Ashik Amlani. Ashik Amlani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Cid, Yashin Dicente, Ian Selby, Keerthini Muthuswamy, et al.. (2023). Development and validation of open-source deep neural networks for comprehensive chest x-ray reading: a retrospective, multicentre study. The Lancet Digital Health. 6(1). e44–e57. 11 indexed citations

2.

Prezzi, Davide, Keerthini Muthuswamy, Ashik Amlani, et al.. (2023). Diffusion-weighted imaging complements T2-weighted MRI for tumour response assessment in squamous anal carcinoma. European Radiology. 33(11). 7575–7584. 4 indexed citations

3.

Amlani, Ashik, Ulrike Haberland, Daniel J. Hodson, et al.. (2022). Correlation between whole skeleton dual energy CT calcium-subtracted attenuation and bone marrow infiltration in multiple myeloma. European Journal of Radiology. 149. 110223–110223. 7 indexed citations

4.

Sit, Cherry, et al.. (2020). Attitudes and perceptions of UK medical students towards artificial intelligence and radiology: a multicentre survey. Insights into Imaging. 11(1). 14–14. 302 indexed citations

5.

Muthuswamy, Keerthini, Rebecca Fisher, Stella Mavroveli, et al.. (2020). Assessment of Technical Skills in Axillary Lymph Node Dissection. Annals of Surgery. 275(3). e568–e574. 2 indexed citations

6.

Amlani, Ashik, et al.. (2016). Evaluation of quality of life after each cycle in patients treated with Peptide Receptor Radionuclide Therapy (PRRT). Endocrine Abstracts.

7.

Arora, Asit, Konstantinos Chaidas, George Garas, et al.. (2015). Outcome of TORS to tongue base and epiglottis in patients with OSA intolerant of conventional treatment. Sleep And Breathing. 20(2). 739–747. 40 indexed citations

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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