Aamir J. Khan

1.4k total citations
6 papers, 171 citations indexed

About

Aamir J. Khan is a scholar working on Infectious Diseases, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Aamir J. Khan has authored 6 papers receiving a total of 171 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Surgery. Recurrent topics in Aamir J. Khan's work include Tuberculosis Research and Epidemiology (4 papers), COVID-19 diagnosis using AI (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Aamir J. Khan is often cited by papers focused on Tuberculosis Research and Epidemiology (4 papers), COVID-19 diagnosis using AI (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Aamir J. Khan collaborates with scholars based in Pakistan, United States and Canada. Aamir J. Khan's co-authors include Faiz Ahmad Khan, Andrea Benedetti, Gamuchirai Tavaziva, Saima Saeed, Ahsana Nazish, Dick Menzies, James C. Johnston, Jonathon R. Campbell, Madhukar Pai and Klaus Reither and has published in prestigious journals such as Clinical Infectious Diseases, BMC Infectious Diseases and International Journal of Infectious Diseases.

In The Last Decade

Aamir J. Khan

6 papers receiving 167 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aamir J. Khan Pakistan	4	118	79	39	35	28	6	171
Ahsana Nazish Pakistan	6	93 0.8×	59 0.7×	27 0.7×	28 0.8×	27 1.0×	7	149
Saima Saeed Pakistan	4	87 0.7×	46 0.6×	21 0.5×	28 0.8×	21 0.8×	9	135
Giovanni Angelotti Italy	8	91 0.8×	58 0.7×	43 1.1×	36 1.0×	20 0.7×	17	174
Shubo Cai China	6	169 1.4×	133 1.7×	23 0.6×	46 1.3×	18 0.6×	9	258
Alexei Korobitsyn Switzerland	7	81 0.7×	141 1.8×	98 2.5×	16 0.5×	25 0.9×	17	228
Pietro Danna Italy	5	80 0.7×	42 0.5×	17 0.4×	23 0.7×	10 0.4×	7	126
Michail Mamalakis United Kingdom	9	157 1.3×	55 0.7×	23 0.6×	32 0.9×	37 1.3×	19	245
Jianxun Lyu China	4	126 1.1×	124 1.6×	15 0.4×	37 1.1×	7 0.3×	6	231
Pierandrea Morandini Italy	5	76 0.6×	44 0.6×	26 0.7×	32 0.9×	13 0.5×	9	121
Shravya Shetty United States	7	167 1.4×	24 0.3×	29 0.7×	66 1.9×	75 2.7×	15	276

Countries citing papers authored by Aamir J. Khan

Since Specialization

Citations

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

Fields of papers citing papers by Aamir J. Khan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aamir J. Khan. 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 Aamir J. Khan. The network helps show where Aamir J. Khan may publish in the future.

Co-authorship network of co-authors of Aamir J. Khan

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

All Works

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6 of 6 papers shown

Tavaziva, Gamuchirai, Ahsana Nazish, Saima Saeed, et al.. (2023). Artificial intelligence-reported chest X-ray findings of culture-confirmed pulmonary tuberculosis in people with and without diabetes. Journal of Clinical Tuberculosis and Other Mycobacterial Diseases. 31. 100365–100365. 3 indexed citations

Tavaziva, Gamuchirai, Ahsana Nazish, Saima Saeed, et al.. (2022). Diagnostic accuracy of a commercially available, deep learning-based chest X-ray interpretation software for detecting culture-confirmed pulmonary tuberculosis. International Journal of Infectious Diseases. 122. 15–20. 21 indexed citations

Tavaziva, Gamuchirai, Miriam Harris, Marianne Breuninger, et al.. (2021). Chest X-ray Analysis With Deep Learning-Based Software as a Triage Test for Pulmonary Tuberculosis: An Individual Patient Data Meta-Analysis of Diagnostic Accuracy. Clinical Infectious Diseases. 74(8). 1390–1400. 43 indexed citations

Khan, Faiz Ahmad, Gamuchirai Tavaziva, Ahsana Nazish, et al.. (2020). Chest x-ray analysis with deep learning-based software as a triage test for pulmonary tuberculosis: a prospective study of diagnostic accuracy for culture-confirmed disease. The Lancet Digital Health. 2(11). e573–e581. 85 indexed citations

Khan, Uzma, Helena Huerga, Aamir J. Khan, et al.. (2019). The endTB observational study protocol: treatment of MDR-TB with bedaquiline or delamanid containing regimens. BMC Infectious Diseases. 19(1). 733–733. 17 indexed citations

Khan, Aamir J., et al.. (2019). Ultrasound guided hydrostatic reduction of intussusception: suitability and effectiveness with factors affecting its successful outcome. International Journal of Advances in Medicine. 6(5). 1567–1567. 2 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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