David A. Mong

2.1k total citations
11 papers, 232 citations indexed

About

David A. Mong is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology and Surgery. According to data from OpenAlex, David A. Mong has authored 11 papers receiving a total of 232 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 6 papers in Epidemiology and 4 papers in Surgery. Recurrent topics in David A. Mong's work include Congenital Heart Disease Studies (6 papers), Lung Cancer Diagnosis and Treatment (2 papers) and Congenital Diaphragmatic Hernia Studies (2 papers). David A. Mong is often cited by papers focused on Congenital Heart Disease Studies (6 papers), Lung Cancer Diagnosis and Treatment (2 papers) and Congenital Diaphragmatic Hernia Studies (2 papers). David A. Mong collaborates with scholars based in United States. David A. Mong's co-authors include Brian E. Chapman, Timothy J. Amrhein, Imon Banerjee, Curtis P. Langlotz, Matthew P. Lungren, Oladimeji Farri, Ling Yuan, Daniel L. Rubin, Sadid A. Hasan and N Moradzadeh and has published in prestigious journals such as Medical Image Analysis, Artificial Intelligence in Medicine and Pediatric Anesthesia.

In The Last Decade

David A. Mong

10 papers receiving 223 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David A. Mong United States 5 89 58 22 20 20 11 232
Meghavi Rana India 6 107 1.2× 95 1.6× 13 0.6× 19 0.9× 11 0.6× 11 253
Meng-Ju Hsieh Taiwan 13 63 0.7× 42 0.7× 23 1.0× 42 2.1× 29 1.4× 21 340
Teresa Rocha Portugal 11 113 1.3× 32 0.6× 28 1.3× 35 1.8× 35 1.8× 52 348
Abdulkader Helwan Cyprus 10 132 1.5× 94 1.6× 11 0.5× 39 1.9× 18 0.9× 22 330
Eva Ignatious Australia 4 152 1.7× 65 1.1× 12 0.5× 26 1.3× 6 0.3× 6 389
Siva Skandha Sanagala India 8 45 0.5× 80 1.4× 20 0.9× 23 1.1× 15 0.8× 11 210
DM Anisuzzaman United States 10 127 1.4× 107 1.8× 24 1.1× 49 2.5× 25 1.3× 19 493
Dianwen Ng Singapore 8 151 1.7× 85 1.5× 29 1.3× 20 1.0× 8 0.4× 23 258
Mahdi Tabassian Belgium 8 42 0.5× 75 1.3× 14 0.6× 26 1.3× 16 0.8× 20 232
Sameh Abd El-Ghany Saudi Arabia 10 83 0.9× 83 1.4× 13 0.6× 20 1.0× 7 0.3× 29 236

Countries citing papers authored by David A. Mong

Since Specialization
Citations

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

Fields of papers citing papers by David A. Mong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David A. Mong. 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 David A. Mong. The network helps show where David A. Mong may publish in the future.

Co-authorship network of co-authors of David A. Mong

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

All Works

11 of 11 papers shown
1.
Hauk, Pia J., Jared J. Abbott, Csaba Galambos, et al.. (2025). Two unique cases of eosinophilic granulomatosis with polyangiitis in childhood treated with anti-interleukin-5 therapy: infantile-onset and submandibular salivary gland involvement. Pediatric Rheumatology. 23(1). 60–60. 1 indexed citations
2.
Zablah, Jenny E., Jason P. Weinman, Erin K. Englund, et al.. (2023). Computed tomographic parenchymal lung findings in premature infants with pulmonary vein stenosis. Pediatric Radiology. 53(9). 1874–1884. 4 indexed citations
3.
Sassoon, Daniel, et al.. (2023). Unexpected extracardiac findings in cardiac computed tomography from neonates to young adults. Pediatric Radiology. 53(5). 885–891. 1 indexed citations
4.
Galambos, Csaba, et al.. (2023). So Many Eos - A Toddler With Eosinophilic Granulomatosis With Polyangiitis. A1898–A1898.
6.
Browne, Lorna P., Gareth J. Morgan, Mark A. Lovell, et al.. (2022). Computed Tomographic Angiography Provides Reliable Coronary Artery Evaluation in Infants With Pulmonary Atresia Intact Ventricular Septum. Seminars in Thoracic and Cardiovascular Surgery. 36(3). 336–344. 1 indexed citations
7.
Mong, David A., R. Paul Guillerman, & Jason P. Weinman. (2022). Computed tomography evaluation of pediatric pulmonary hypertension. Pediatric Radiology. 52(10). 1888–1894. 1 indexed citations
8.
Hoffman, Lindsey M., et al.. (2021). Pediatric mediastinal mass algorithm: A quality improvement initiative to reduce time from presentation to biopsy. Pediatric Anesthesia. 31(8). 885–893. 3 indexed citations
10.
Banerjee, Imon, Ling Yuan, Sadid A. Hasan, et al.. (2018). Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification. Artificial Intelligence in Medicine. 97. 79–88. 186 indexed citations
11.
Tong, Yubing, Jayaram K. Udupa, Krzysztof Chris Ciesielski, et al.. (2016). Retrospective 4D MR image construction from free-breathing slice Acquisitions: A novel graph-based approach. Medical Image Analysis. 35. 345–359. 24 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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