Aamer Chughtai

2.4k total citations · 1 hit paper
66 papers, 1.7k citations indexed

About

Aamer Chughtai is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Aamer Chughtai has authored 66 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Radiology, Nuclear Medicine and Imaging, 36 papers in Pulmonary and Respiratory Medicine and 16 papers in Surgery. Recurrent topics in Aamer Chughtai's work include Cardiac Imaging and Diagnostics (15 papers), Radiomics and Machine Learning in Medical Imaging (15 papers) and Lung Cancer Diagnosis and Treatment (14 papers). Aamer Chughtai is often cited by papers focused on Cardiac Imaging and Diagnostics (15 papers), Radiomics and Machine Learning in Medical Imaging (15 papers) and Lung Cancer Diagnosis and Treatment (14 papers). Aamer Chughtai collaborates with scholars based in United States, China and Canada. Aamer Chughtai's co-authors include Ella A. Kazerooni, Heang‐Ping Chan, Lubomir M. Hadjiiski, Berkman Sahiner, June L. Chan, Shruti Jolly, Reshma Jagsi, Laura Freedman, Lori J. Pierce and James A. Hayman and has published in prestigious journals such as PLoS ONE, American Journal of Respiratory and Critical Care Medicine and Scientific Reports.

In The Last Decade

Aamer Chughtai

66 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Development and Validation of a Heart Atlas to Study Cardiac Exposure to Radiation Following Treatment for Breast Cancer

2010 539 citations Mary Feng, Jean M. Moran et al. International Journal of Radiation Oncology*Biology*Physics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aamer Chughtai United States	19	930	832	346	314	256	66	1.7k
Gregory W. Gladish United States	27	1.5k 1.6×	1.1k 1.3×	223 0.6×	676 2.2×	124 0.5×	73	2.9k
Ronald D. Ennis United States	24	1.2k 1.3×	528 0.6×	454 1.3×	66 0.2×	158 0.6×	102	2.0k
Malte L. Bahner Germany	20	652 0.7×	824 1.0×	642 1.9×	288 0.9×	50 0.2×	45	2.3k
Keiko Kuriyama Japan	26	2.0k 2.1×	1.0k 1.2×	128 0.4×	140 0.4×	88 0.3×	96	2.9k
Robert D. Suh United States	26	1.9k 2.1×	814 1.0×	116 0.3×	81 0.3×	50 0.2×	93	2.6k
Zahra Kassam Canada	20	812 0.9×	531 0.6×	431 1.2×	102 0.3×	108 0.4×	88	2.0k
Antonio C. Westphalen United States	29	1.9k 2.1×	1.1k 1.4×	145 0.4×	76 0.2×	97 0.4×	118	3.0k
Bradley S. Sabloff United States	21	1.2k 1.3×	776 0.9×	102 0.3×	165 0.5×	110 0.4×	48	1.9k
David M. Hovsepian United States	28	981 1.1×	376 0.5×	127 0.4×	331 1.1×	45 0.2×	92	2.5k
Marcel J. W. Greuter Netherlands	25	535 0.6×	1.4k 1.7×	49 0.1×	225 0.7×	187 0.7×	151	2.3k

Countries citing papers authored by Aamer Chughtai

Since Specialization

Citations

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

Fields of papers citing papers by Aamer Chughtai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aamer Chughtai

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

All Works

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20 of 20 papers shown

Kong, Weifang, et al.. (2024). Diagnosing myocardial ischemia of obstructive coronary artery disease using dynamic computed tomography myocardial perfusion imaging: optimization of relative myocardial blood flow ratio. The International Journal of Cardiovascular Imaging. 40(12). 2481–2490. 1 indexed citations

Jiang, Ying, et al.. (2022). Case Report: Mucocele-Like Tumor of the Breast Associated With Ductal Carcinoma In Situ. Frontiers in Oncology. 12. 855028–855028. 1 indexed citations

Wang, Fang, Yan Gao, Xinyue Chen, et al.. (2022). Machine-learning classifiers based on non-enhanced computed tomography radiomics to differentiate anterior mediastinal cysts from thymomas and low-risk from high-risk thymomas: A multi-center study. Frontiers in Oncology. 12. 1043163–1043163. 10 indexed citations

Belloli, Elizabeth A., Tian Gu, Yizhuo Wang, et al.. (2021). Radiographic Graft Surveillance in Lung Transplantation: Prognostic Role of Parametric Response Mapping. American Journal of Respiratory and Critical Care Medicine. 204(8). 967–976. 12 indexed citations

Ram, Sundaresh, Benjamin A. Hoff, Stefanie Galbán, et al.. (2021). Improved detection of air trapping on expiratory computed tomography using deep learning. PLoS ONE. 16(3). e0248902–e0248902. 10 indexed citations

Zhou, Chuan, Heang‐Ping Chan, Aamer Chughtai, et al.. (2020). Pathologic categorization of lung nodules: Radiomic descriptors of CT attenuation distribution patterns of solid and subsolid nodules in low-dose CT. European Journal of Radiology. 129. 109106–109106. 6 indexed citations

Barkmeier, Daniel, et al.. (2020). Abdominal CT in COVID-19 patients: incidence, indications, and findings. Abdominal Radiology. 46(3). 1256–1262. 9 indexed citations

Zhou, Chuan, Heang‐Ping Chan, Aamer Chughtai, et al.. (2019). Variabilities in Reference Standard by Radiologists and Performance Assessment in Detection of Pulmonary Embolism in CT Pulmonary Angiography. Journal of Digital Imaging. 32(6). 1089–1096. 7 indexed citations

Salisbury, Margaret L., Tian Gu, Susan Murray, et al.. (2018). Hypersensitivity Pneumonitis. CHEST Journal. 155(4). 699–711. 145 indexed citations

10.

Stojanovska, Jadranka, Ruth C. Carlos, Keith E. Kocher, et al.. (2015). CT Pulmonary Angiography: Using Decision Rules in the Emergency Department. Journal of the American College of Radiology. 12(10). 1023–1029. 24 indexed citations

11.

Zhou, Chuan, Heang‐Ping Chan, Aamer Chughtai, et al.. (2014). Computerized analysis of coronary artery disease: Performance evaluation of segmentation and tracking of coronary arteries in CT angiograms. Medical Physics. 41(8Part1). 81912–81912. 10 indexed citations

12.

Chartrand‐Lefebvre, Carl, Charles S. White, Sanjeev Bhalla, et al.. (2011). Comparison of the Effect of Low- and Iso-Osmolar Contrast Agents on Heart Rate during Chest CT Angiography: Results of a Prospective Randomized Multicenter Study. Radiology. 258(3). 930–937. 11 indexed citations

13.

Feng, Mary, Jean M. Moran, Todd M. Koelling, et al.. (2010). Development and Validation of a Heart Atlas to Study Cardiac Exposure to Radiation Following Treatment for Breast Cancer. International Journal of Radiation Oncology*Biology*Physics. 79(1). 10–18. 539 indexed citations breakdown →

14.

Way, Ted W., Berkman Sahiner, Heang‐Ping Chan, et al.. (2009). Computer‐aided diagnosis of pulmonary nodules on CT scans: Improvement of classification performance with nodule surface features. Medical Physics. 36(7). 3086–3098. 114 indexed citations

15.

Sahiner, Berkman, Heang‐Ping Chan, Lubomir M. Hadjiiski, et al.. (2009). Effect of CAD on Radiologists' Detection of Lung Nodules on Thoracic CT Scans: Analysis of an Observer Performance Study by Nodule Size. Academic Radiology. 16(12). 1518–1530. 88 indexed citations

16.

LaBounty, Troy, et al.. (2009). Hemodynamic and functional assessment of mechanical aortic valves using combined echocardiography and multidetector computed tomography. Journal of cardiovascular computed tomography. 3(3). 161–167. 11 indexed citations

17.

Zhou, Chuan, Heang‐Ping Chan, Berkman Sahiner, et al.. (2007). Automatic multiscale enhancement and segmentation of pulmonary vessels in CT pulmonary angiography images for CAD applications. PubMed Central. 2 indexed citations

18.

Chughtai, Aamer, Paul Cronin, David R. Lucas, Richard L. Prager, & Ella A. Kazerooni. (2007). Metastatic Shoulder Liposarcoma to the Right Ventricle. Journal of Thoracic Imaging. 22(2). 195–198. 7 indexed citations

19.

Zhou, Chuan, Heang‐Ping Chan, Lubomir M. Hadjiiski, et al.. (2007). Automated detection of pulmonary embolism (PE) in computed tomographic pulmonary angiographic (CTPA) images: multiscale hierachical expectation-maximization segmentation of vessels and PEs. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6514. 65142F–65142F. 10 indexed citations

20.

Raza, Syed Ali, Aamer Chughtai, Mona Wahba, et al.. (2003). Multislice CT Angiography in Renal Artery Stent Evaluation: Prospective Comparison with Intra-Arterial Digital Subtraction Angiography. CardioVascular and Interventional Radiology. 27(1). 9–15. 14 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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