Sharifa Sahai

1.5k citations
3 papers · 585 indexed · 2 hit papers · h-index 2
Topics
AI in cancer detection (1 paper)Artificial Intelligence in Healthcare (1 paper)Artificial Intelligence in Healthcare and Education (1 paper)
Partner nations
United States

In The Last Decade

Sharifa Sahai

3 papers receiving 571 citations

Hit Papers

Towards a general-purpose foundation model for computatio...202320262024202520242023100200300

Peers

Sharifa Sahai
Comparison fields: 5 of 99
  • Artificial Intelligence 299
  • Radiology, Nuclear Medicine and Imaging 213
  • Health Informatics 141
  • Computer Vision and Pattern Recognition 76
  • Oncology 64
Replace Judy J. Wang with:
Judy J. Wang United States
Arash Mohtashamian United States
Niels Olson United States
Lily H. Peng United States
Kevin Faust Canada
Kunal Nagpal United States
Norman Zerbe Germany
Cathal McCague United Kingdom
Eva Krieghoff‐Henning Germany
Andrew Zhang United States
Sharifa Sahai relative to Judy J. Wang United States Judy J. Wang's profile →
Citations per field
00.5×1.5×
Judy J. Wang · 1×
Citations per year

Countries citing papers authored by Sharifa Sahai

Since Specialization
Citations

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

Fields of papers citing papers by Sharifa Sahai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sharifa Sahai

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

All Works

3 of 3 papers shown
#WorkIndexed citations
1
Towards a general-purpose foundation model for computational pathologybreakdown →
331
2
Algorithmic fairness in artificial intelligence for medicine and healthcarebreakdown →
253
3 1

About Sharifa Sahai

Sharifa Sahai is a scholar working on Health Informatics, Health Information Management and Biophysics, having authored 3 papers that have together received 585 indexed citations. Recurring topics across this work include AI in cancer detection (1 paper), Artificial Intelligence in Healthcare (1 paper) and Artificial Intelligence in Healthcare and Education (1 paper). The work is most often cited by research in Health Informatics (141 citations), Artificial Intelligence (299 citations) and Radiology, Nuclear Medicine and Imaging (213 citations). Sharifa Sahai has collaborated with scholars based in United States. Frequent co-authors include Judy J. Wang, Faisal Mahmood, Ming Y. Lu, Richard J. Chen, Drew F. K. Williamson, Tiffany Chen, Jana Lipková, Muhammad Shaban, Bowen Chen and Luca L. Weishaupt. Their work appears in journals such as Nature Medicine, Nature Biomedical Engineering and Journal of Pathology Informatics.

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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