Asad Aali

757 total citations · 1 hit paper
6 papers, 268 citations indexed

About

Asad Aali is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Asad Aali has authored 6 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Molecular Biology. Recurrent topics in Asad Aali's work include Medical Imaging Techniques and Applications (2 papers), Machine Learning in Healthcare (2 papers) and Advanced MRI Techniques and Applications (2 papers). Asad Aali is often cited by papers focused on Medical Imaging Techniques and Applications (2 papers), Machine Learning in Healthcare (2 papers) and Advanced MRI Techniques and Applications (2 papers). Asad Aali collaborates with scholars based in United States, Switzerland and Canada. Asad Aali's co-authors include Jason Hom, Eduardo Pontes Reis, Sergios Gatidis, Akshay Chaudhari, Dave Van Veen, John M. Pauly, Curtis P. Langlotz, Louis Blankemeier, Cara Van Uden and Christian Bluethgen and has published in prestigious journals such as Nature Medicine, Magnetic Resonance in Medicine and Journal of the American Medical Informatics Association.

In The Last Decade

Asad Aali

5 papers receiving 262 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Adapted large language models can outperform medical experts in clinical text summarization

2024 252 citations Dave Van Veen, Cara Van Uden et al. Nature Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Asad Aali United States	3	131	109	55	35	23	6	268
Cara Van Uden United States	2	139 1.1×	116 1.1×	56 1.0×	36 1.0×	22 1.0×	2	263
Dave Van Veen United States	6	155 1.2×	122 1.1×	61 1.1×	36 1.0×	23 1.0×	10	356
Madhumita Sushil United States	9	168 1.3×	116 1.1×	59 1.1×	42 1.2×	25 1.1×	19	294
Isabella C. Wiest Germany	9	125 1.0×	135 1.2×	73 1.3×	40 1.1×	19 0.8×	23	291
Joshua Au Yeung United Kingdom	7	92 0.7×	118 1.1×	45 0.8×	20 0.6×	27 1.2×	11	224
Jean-Benoit Delbrouck United States	7	205 1.6×	141 1.3×	95 1.7×	59 1.7×	25 1.1×	13	359
Liyan Tang United States	7	172 1.3×	168 1.5×	107 1.9×	35 1.0×	20 0.9×	10	341
Brenda Y. Miao United States	8	104 0.8×	125 1.1×	72 1.3×	25 0.7×	16 0.7×	14	287
Mehr Kashyap United States	7	74 0.6×	90 0.8×	47 0.9×	21 0.6×	22 1.0×	11	235
Rahul Thapa United States	10	162 1.2×	111 1.0×	52 0.9×	30 0.9×	46 2.0×	15	354

Countries citing papers authored by Asad Aali

Since Specialization

Citations

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

Fields of papers citing papers by Asad Aali

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Asad Aali

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

All Works

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6 of 6 papers shown

1.

Aali, Asad, et al.. (2025). Robust multi‐coil MRI reconstruction via self‐supervised denoising. Magnetic Resonance in Medicine. 94(5). 1859–1877. 1 indexed citations

2.

Alsentzer, Emily, Timothy Keyes, Akshay Swaminathan, et al.. (2025). MedFactEval and MedAgentBrief: A Framework and Workflow for Generating and Evaluating Factual Clinical Summaries. PubMed. 31. 388–399.

3.

Veen, Dave Van, Cara Van Uden, Louis Blankemeier, et al.. (2024). Adapted large language models can outperform medical experts in clinical text summarization. Nature Medicine. 30(4). 1134–1142. 252 indexed citations breakdown →

4.

Aali, Asad, Dave Van Veen, Jason Hom, et al.. (2024). A dataset and benchmark for hospital course summarization with adapted large language models. Journal of the American Medical Informatics Association. 32(3). 470–479. 8 indexed citations

5.

Aali, Asad, et al.. (2024). GSURE Denoising enables training of higher quality generative priors for accelerated Multi-Coil MRI Reconstruction. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition. 1 indexed citations

6.

Aali, Asad, et al.. (2023). Solving Inverse Problems with Score-Based Generative Priors learned from Noisy Data. 837–843. 6 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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