Saad Khan

401 citations
7 papers · 263 indexed · 1 hit paper · h-index 5
Topics
Genetic Associations and Epidemiology (3 papers)Retinal Imaging and Analysis (2 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers)

In The Last Decade

Saad Khan

7 papers receiving 255 citations

Hit Papers

A global review of publicly available datasets for ophtha...2020202620222024202050100150

Peers

Saad Khan
Comparison fields: 5 of 61
  • Radiology, Nuclear Medicine and Imaging 157
  • Ophthalmology 111
  • Health Informatics 50
  • Epidemiology 46
  • Artificial Intelligence 37
Replace Shanjun Wu with:
Shanjun Wu China
Geunyoung Lee Singapore
Mark A. Chia United Kingdom
Robbert Struyven United Kingdom
Renu P. Rajan India
Zahra Rastegar United States
Zhongwen Li China
Ilana Traynis United States
Hironobu Tampo Japan
Jocelyn Hui Lin Goh Singapore
Saad Khan relative to Shanjun Wu China Shanjun Wu's profile →
Citations per field
00.5×1.5×
Shanjun Wu · 1×
Citations per year

Countries citing papers authored by Saad Khan

Since Specialization
Citations

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

Fields of papers citing papers by Saad Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saad Khan

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 8
2
A global review of publicly available datasets for ophthalmological imaging: barriers to access, usability, and generalisabilitybreakdown →
196
3 3
4 5
5 26
6 24
7 1

About Saad Khan

Saad Khan is a scholar working on Health Informatics, Health Information Management and Pharmacy, having authored 7 papers that have together received 263 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (3 papers), Retinal Imaging and Analysis (2 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). The work is most often cited by research in Health Informatics (50 citations), Ophthalmology (111 citations) and Radiology, Nuclear Medicine and Imaging (157 citations). Saad Khan has collaborated with scholars based in United Kingdom, United States and United Arab Emirates. Frequent co-authors include Pearse A. Keane, Edward Korot, Siegfried K. Wagner, Siddharth Nath, Matthew J. Burton, Alastair K. Denniston, Xiaoxuan Liu, Livia Faes, Neil J. Sebire and Wael Osman. Their work appears in journals such as CHEST Journal, Gene and European Journal of Cardio-Thoracic Surgery.

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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