Sharifa Sahai

1.5k total citations · 2 hit papers
3 papers, 585 citations indexed

About

Sharifa Sahai is a scholar working on Artificial Intelligence, Molecular Biology and Health Information Management. According to data from OpenAlex, Sharifa Sahai has authored 3 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Health Information Management. Recurrent topics in Sharifa Sahai's work include Machine Learning in Healthcare (1 paper), Biomedical Text Mining and Ontologies (1 paper) and Renal and Vascular Pathologies (1 paper). Sharifa Sahai is often cited by papers focused on Machine Learning in Healthcare (1 paper), Biomedical Text Mining and Ontologies (1 paper) and Renal and Vascular Pathologies (1 paper). Sharifa Sahai collaborates with scholars based in United States. Sharifa Sahai's co-authors include Judy J. Wang, Drew F. K. Williamson, Ming Y. Lu, Richard J. Chen, Faisal Mahmood, Jana Lipková, Tiffany Chen, Long P. Le, Muhammad Shaban and Georg K. Gerber and has published in prestigious journals such as Nature Medicine, Nature Biomedical Engineering and Journal of Pathology Informatics.

In The Last Decade

Sharifa Sahai

3 papers receiving 571 citations

Hit Papers

Towards a general-purpose... 2023 2026 2024 2024 2023 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sharifa Sahai United States 2 299 213 141 76 64 3 585
Judy J. Wang United States 6 386 1.3× 278 1.3× 187 1.3× 96 1.3× 83 1.3× 13 779
Arash Mohtashamian United States 4 386 1.3× 312 1.5× 118 0.8× 87 1.1× 63 1.0× 11 567
Kunal Nagpal United States 5 345 1.2× 258 1.2× 113 0.8× 109 1.4× 97 1.5× 10 592
Luca L. Weishaupt United States 3 288 1.0× 225 1.1× 83 0.6× 85 1.1× 61 1.0× 6 499
Andrew Zhang United States 4 362 1.2× 265 1.2× 78 0.6× 120 1.6× 84 1.3× 6 619
Lily H. Peng United States 6 446 1.5× 376 1.8× 129 0.9× 96 1.3× 93 1.5× 6 689
Niels Olson United States 6 467 1.6× 370 1.7× 137 1.0× 99 1.3× 83 1.3× 9 734
Kevin Faust Canada 8 172 0.6× 164 0.8× 149 1.1× 50 0.7× 32 0.5× 12 380
Jan‐Niklas Eckardt Germany 9 331 1.1× 234 1.1× 370 2.6× 101 1.3× 39 0.6× 21 810
Ivy Liang United States 2 228 0.8× 161 0.8× 72 0.5× 72 0.9× 38 0.6× 3 385

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
1.
Chen, Richard J., Tong Ding, Ming Y. Lu, et al.. (2024). Towards a general-purpose foundation model for computational pathology. Nature Medicine. 30(3). 850–862. 331 indexed citations breakdown →
2.
Chen, Richard J., Judy J. Wang, Drew F. K. Williamson, et al.. (2023). Algorithmic fairness in artificial intelligence for medicine and healthcare. Nature Biomedical Engineering. 7(6). 719–742. 253 indexed citations breakdown →
3.
Sahai, Sharifa, Richard J. Chen, Jana Lipková, et al.. (2022). MULTIMODAL AI-BASED ASSESSMENT OF RENAL ALLOGRAFT BIOPSIES. Journal of Pathology Informatics. 13. 100059–100059. 1 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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