Winston Lie

1.1k total citations · 1 hit paper
5 papers, 440 citations indexed

About

Winston Lie is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Winston Lie has authored 5 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Health Informatics, 2 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Surgery. Recurrent topics in Winston Lie's work include Artificial Intelligence in Healthcare and Education (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Medical Imaging and Analysis (1 paper). Winston Lie is often cited by papers focused on Artificial Intelligence in Healthcare and Education (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Medical Imaging and Analysis (1 paper). Winston Lie collaborates with scholars based in United States. Winston Lie's co-authors include Marc D. Succi, Keith J. Dreyer, Arya Rao, John Kim, Michael Pang, Meghana Kamineni, Adam Landman, A Prasad, Joshua A Hirsch and Rajiv Gupta and has published in prestigious journals such as Journal of Medical Internet Research, American Journal of Neuroradiology and Journal of Medical Systems.

In The Last Decade

Winston Lie

5 papers receiving 437 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.

Assessing the Utility of ChatGPT Throughout the Entire Clinical Workflow: Development and Usability Study

2023 228 citations Arya Rao, Michael Pang et al. Journal of Medical Internet Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Winston Lie United States	4	357	212	181	51	37	5	440
Meghana Kamineni United States	4	346 1.0×	207 1.0×	174 1.0×	47 0.9×	35 0.9×	5	435
Michael Pang United States	6	370 1.0×	218 1.0×	181 1.0×	50 1.0×	40 1.1×	9	486
Ren Kawamura Japan	6	269 0.8×	150 0.7×	142 0.8×	99 1.9×	32 0.9×	17	381
Takanobu Hirosawa Japan	9	309 0.9×	161 0.8×	158 0.9×	90 1.8×	31 0.8×	31	489
Ryan S. Huang Canada	11	290 0.8×	231 1.1×	117 0.6×	49 1.0×	22 0.6×	73	460
Andrew Mihalache Canada	11	334 0.9×	370 1.7×	95 0.5×	57 1.1×	21 0.6×	65	586
Samir Touma Canada	6	326 0.9×	264 1.2×	96 0.5×	59 1.2×	13 0.4×	14	456
Jonathan El‐Khoury Canada	5	300 0.8×	216 1.0×	87 0.5×	57 1.1×	16 0.4×	13	391
Patricia L. Zadnik Sullivan United States	3	292 0.8×	167 0.8×	90 0.5×	50 1.0×	24 0.6×	5	353
Tetsu Sakamoto Japan	8	195 0.5×	116 0.5×	101 0.6×	60 1.2×	26 0.7×	25	344

Countries citing papers authored by Winston Lie

Since Specialization

Citations

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

Fields of papers citing papers by Winston Lie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Winston Lie

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

All Works

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5 of 5 papers shown

1.

Mazurek, Mercy H., Alexander H. King, Grant Rigney, et al.. (2024). Implementation of a Survey Spine MR Imaging Protocol for Cord Compression in the Emergency Department: Experience at a Level 1 Trauma Center. American Journal of Neuroradiology. 45(9). 1378–1384. 1 indexed citations

2.

Kim, John, et al.. (2024). Risk stratification of potential drug interactions involving common over-the-counter medications and herbal supplements by a large language model. Journal of the American Pharmacists Association. 65(1). 102304–102304. 4 indexed citations

3.

Rao, Arya, John Kim, Winston Lie, et al.. (2024). Proactive Polypharmacy Management Using Large Language Models: Opportunities to Enhance Geriatric Care. Journal of Medical Systems. 48(1). 41–41. 18 indexed citations

4.

Rao, Arya, Michael Pang, John Kim, et al.. (2023). Assessing the Utility of ChatGPT Throughout the Entire Clinical Workflow: Development and Usability Study. Journal of Medical Internet Research. 25. e48659–e48659. 228 indexed citations breakdown →

5.

Rao, Arya, John Kim, Meghana Kamineni, et al.. (2023). Evaluating GPT as an Adjunct for Radiologic Decision Making: GPT-4 Versus GPT-3.5 in a Breast Imaging Pilot. Journal of the American College of Radiology. 20(10). 990–997. 189 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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