Farouk Dako

1.6k total citations
54 papers, 492 citations indexed

About

Farouk Dako is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Farouk Dako has authored 54 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Pulmonary and Respiratory Medicine and 10 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Farouk Dako's work include Radiology practices and education (13 papers), Lung Cancer Diagnosis and Treatment (9 papers) and COVID-19 diagnosis using AI (8 papers). Farouk Dako is often cited by papers focused on Radiology practices and education (13 papers), Lung Cancer Diagnosis and Treatment (9 papers) and COVID-19 diagnosis using AI (8 papers). Farouk Dako collaborates with scholars based in United States, Nigeria and Brazil. Farouk Dako's co-authors include Ameena Elahi, Daniel J. Mollura, Erica Pollack, Victoria L. Mango, John R. Scheel, Melissa P. Culp, Charles S. White, Satvik Tripathi, Omer A. Awan and Rydhwana Hossain and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Respiratory and Critical Care Medicine and Radiology.

In The Last Decade

Farouk Dako

49 papers receiving 483 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Farouk Dako United States 10 234 125 119 62 57 54 492
Gerard M. Healy Ireland 14 197 0.8× 159 1.3× 83 0.7× 76 1.2× 63 1.1× 41 616
Janice Newsome United States 12 166 0.7× 72 0.6× 79 0.7× 47 0.8× 30 0.5× 66 482
Nadja Kadom United States 14 443 1.9× 113 0.9× 111 0.9× 39 0.6× 105 1.8× 55 733
Judy Burleson United States 12 257 1.1× 117 0.9× 62 0.5× 83 1.3× 88 1.5× 22 465
Pinggui Lei China 9 322 1.4× 91 0.7× 127 1.1× 45 0.7× 58 1.0× 36 611
Eniola Oluyemi United States 11 287 1.2× 72 0.6× 181 1.5× 69 1.1× 52 0.9× 59 494
Monika Hierath France 9 322 1.4× 78 0.6× 46 0.4× 51 0.8× 121 2.1× 22 500
Michèle Retrouvey United States 10 221 0.9× 61 0.5× 44 0.4× 38 0.6× 65 1.1× 36 374
Lionel Tim‐Ee Cheng Singapore 10 164 0.7× 59 0.5× 79 0.7× 66 1.1× 77 1.4× 31 453
Adam Prater United States 12 286 1.2× 68 0.5× 189 1.6× 20 0.3× 110 1.9× 30 559

Countries citing papers authored by Farouk Dako

Since Specialization
Citations

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

Fields of papers citing papers by Farouk Dako

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Farouk Dako

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

All Works

20 of 20 papers shown
1.
Slanetz, Priscilla J., Anand K. Narayan, Lucy B. Spalluto, et al.. (2025). The Role of Radiology in Community Engagement. Radiographics. 45(8). e240185–e240185.
2.
Henderson, Louise M., Roger Y. Kim, Nichole T. Tanner, et al.. (2025). Lung Cancer Screening and Incidental Findings: A Research Agenda: An Official American Thoracic Society Research Statement. American Journal of Respiratory and Critical Care Medicine. 211(3). 436–451. 3 indexed citations
3.
Dako, Farouk, Fábio Ynoe de Moraes, Florence X. Doo, et al.. (2025). Digital health and artificial intelligence innovations for oncology in sub-Saharan Africa. The Lancet Oncology. 26(10). e547–e557.
4.
Tripathi, Satvik, et al.. (2025). Large Language Models for Global Health Clinics: Opportunities and Challenges. Journal of the American College of Radiology. 22(8). 917–923. 1 indexed citations
5.
Chung, Yoonkyung, Elizabeth Y. Rula, Farouk Dako, et al.. (2025). Association of Shared Decision-Making With Long-Term Adherence to Lung Cancer Screening. CHEST Journal. 168(5). 1248–1256.
6.
Anton, Kevin, Farouk Dako, Robert G. Dixon, et al.. (2024). Building Radiology Equity: Themes from the 2023 RAD-AID Conference on International Radiology and Global Health. Journal of the American College of Radiology. 21(8). 1194–1200. 4 indexed citations
7.
Mohan, Suyash, et al.. (2024). From Revisions to Insights: Converting Radiology Report Revisions into Actionable Educational Feedback Using Generative AI Models. Journal of Imaging Informatics in Medicine. 38(2). 1265–1279. 8 indexed citations
8.
Hartmann, Katherine E., et al.. (2024). Exploring the State of Cancer Imaging Research in Africa. Journal of the American College of Radiology. 21(8). 1216–1221. 1 indexed citations
9.
Friedrich, Matthias G., Ntobeko Ntusi, C. C. Tchoyoson Lim, et al.. (2024). Scan With Me: A Train-the-Trainer Program to Upskill MRI Personnel in Low- and Middle-Income Countries. Journal of the American College of Radiology. 21(8). 1222–1234. 5 indexed citations
10.
Dako, Farouk, et al.. (2024). Pulmonary Infection. Clinics in Chest Medicine. 45(2). 373–382.
11.
12.
Dako, Farouk, et al.. (2023). Case competition sessions: a global education and academic engagement tool. Pediatric Radiology. 54(3). 385–391.
13.
Stein, Joel M., Victoria L. Mango, Joseph Weygand, et al.. (2023). MRI scarcity in low‐ and middle‐income countries. NMR in Biomedicine. 36(12). e5022–e5022. 27 indexed citations
14.
15.
Dako, Farouk, Tessa S. Cook, Hanna M. Zafar, & Mitchell D. Schnall. (2023). Population Health Management in Radiology: Economic Considerations. Journal of the American College of Radiology. 20(10). 962–968. 3 indexed citations
16.
Hossain, Rydhwana, Jean Jeudy, Farouk Dako, et al.. (2021). Lung-RADS Version 1.0 versus Lung-RADS Version 1.1: Comparison of Categories Using Nodules from the National Lung Screening Trial. Radiology. 300(1). 199–206. 40 indexed citations
17.
Jain, Rajesh, et al.. (2020). Using opportunistic screening with abdominal CT to identify osteoporosis and osteopenia in patients with diabetes. Osteoporosis International. 31(11). 2189–2196. 24 indexed citations
18.
Hota, Partha, et al.. (2018). Dependent layering of venous refluxed contrast: A sign of critically low cardiac output. Radiology Case Reports. 14(2). 230–234. 8 indexed citations
19.
Awan, Omer A., et al.. (2018). Utilizing Audience Response to Foster Evidence-based Learning in a Pilot Study: Does It Really Work?. Cureus. 10(12). e3799–e3799. 5 indexed citations
20.
Dako, Farouk, et al.. (2017). Use of Value Stream Mapping to Reduce Outpatient CT Scan Wait Times. Journal of the American College of Radiology. 15(1). 82–85. 10 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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