Farouk Dako

126 total papers · 1.5k total citations
54 papers, 477 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 477 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 Ethiopia. Farouk Dako's co-authors include Ameena Elahi, Daniel J. Mollura, Victoria L. Mango, John R. Scheel, Erica Pollack, Melissa P. Culp, Satvik Tripathi, Charles S. White, Rydhwana Hossain and Omer A. Awan 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 470 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Farouk Dako 231 119 117 59 57 54 477
Janice Newsome 165 0.7× 70 0.6× 75 0.6× 46 0.8× 69 1.2× 65 472
Eniola Oluyemi 279 1.2× 72 0.6× 177 1.5× 69 1.2× 30 0.5× 59 481
Jay K. Pahade 287 1.2× 82 0.7× 38 0.3× 68 1.2× 66 1.2× 33 552
Emily Skelton 181 0.8× 36 0.3× 154 1.3× 53 0.9× 73 1.3× 43 476
Manàs Dave 175 0.8× 47 0.4× 97 0.8× 40 0.7× 52 0.9× 51 500
Judy Burleson 255 1.1× 115 1.0× 61 0.5× 82 1.4× 22 0.4× 22 458
Jeevesh Kapur 168 0.7× 73 0.6× 72 0.6× 29 0.5× 37 0.6× 32 461
Benard Ohene Botwe 293 1.3× 34 0.3× 151 1.3× 58 1.0× 59 1.0× 69 530
Adam Prater 284 1.2× 67 0.6× 187 1.6× 20 0.3× 57 1.0× 30 550
Lionel Tim‐Ee Cheng 161 0.7× 59 0.5× 68 0.6× 65 1.1× 15 0.3× 31 439

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

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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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