Eddie Guo

455 total citations · 1 hit paper
20 papers, 210 citations indexed

About

Eddie Guo is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Eddie Guo has authored 20 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Health Informatics, 7 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Artificial Intelligence. Recurrent topics in Eddie Guo's work include Artificial Intelligence in Healthcare and Education (7 papers), Machine Learning in Healthcare (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Eddie Guo is often cited by papers focused on Artificial Intelligence in Healthcare and Education (7 papers), Machine Learning in Healthcare (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Eddie Guo collaborates with scholars based in Canada, United States and Denmark. Eddie Guo's co-authors include Mehul Gupta, Ye‐Jean Park, Jiawen Deng, Mike Paget, Christopher Naugler, Garnette R. Sutherland, Sanju Lama, Gwynedd E. Pickett, Vishal Navani and Marcos Tatagiba and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of neurosurgery and Journal of Medical Internet Research.

In The Last Decade

Eddie Guo

15 papers receiving 207 citations

Hit Papers

Assessing the research landscape and clinical utility of ... 2024 2026 2025 2024 25 50 75
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.

  1. Assessing the research landscape and clinical utility of large language models: a scoping review
    2024 85 citations Ye‐Jean Park, Jiawen Deng et al. BMC Medical Informatics and Decision Making profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eddie Guo Canada 5 114 93 43 30 21 20 210
Ye‐Jean Park Canada 5 98 0.9× 86 0.9× 35 0.8× 32 1.1× 26 1.2× 16 212
Mehul Gupta Canada 5 109 1.0× 93 1.0× 42 1.0× 30 1.0× 18 0.9× 7 202
Joshua Au Yeung United Kingdom 7 118 1.0× 92 1.0× 45 1.0× 5 0.2× 20 1.0× 11 224
Isabella C. Wiest Germany 9 135 1.2× 125 1.3× 73 1.7× 4 0.1× 40 1.9× 23 291
Sophia M. Pressman United States 9 146 1.3× 64 0.7× 51 1.2× 4 0.1× 14 0.7× 18 229
Cesar A. Gomez-Cabello United States 10 162 1.4× 72 0.8× 54 1.3× 4 0.1× 14 0.7× 34 265
Melissa Rammage United States 7 69 0.6× 51 0.5× 42 1.0× 10 0.3× 21 1.0× 9 275
Asad Aali United States 3 109 1.0× 131 1.4× 55 1.3× 2 0.1× 35 1.7× 6 268
Cara Van Uden United States 2 116 1.0× 139 1.5× 56 1.3× 2 0.1× 36 1.7× 2 263
Sisith Ariyaratne United Kingdom 8 149 1.3× 64 0.7× 72 1.7× 11 0.4× 2 0.1× 28 222

Countries citing papers authored by Eddie Guo

Since Specialization
Citations

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

Fields of papers citing papers by Eddie Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eddie Guo

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

All Works

20 of 20 papers shown
1.
2.
Guo, Eddie, Jamie Strain, William Klement, et al.. (2025). Validation of automated paper screening for esophagectomy systematic review using large language models. PeerJ Computer Science. 11. e2822–e2822.
3.
Guo, Eddie, Risa Shorr, Lisa Caulley, et al.. (2025). Representation and Bias in Artificial Intelligence Models for Thyroid Cancer: A Systematic Review. Thyroid. 35(12). 1391–1402.
4.
Quan, Joshua, et al.. (2025). Large language models generating synthetic clinical datasets: a feasibility and comparative analysis with real-world perioperative data. Frontiers in Artificial Intelligence. 8. 1533508–1533508. 2 indexed citations
5.
Guo, Eddie, et al.. (2025). Comparison of ChatGPT ‐4, Copilot, Bard and Gemini Ultra on an Otolaryngology Question Bank. Clinical Otolaryngology. 50(4). 704–711. 3 indexed citations
6.
7.
Deng, Jiawen, et al.. (2025). Development of a Transfer Learning-Based, Multimodal Neural Network for Identifying Malignant Dermatological Lesions From Smartphone Images. Cancer Informatics. 24. 2693976451–2693976451. 1 indexed citations
8.
Park, Ye‐Jean, et al.. (2025). OSCEai dermatology: augmenting dermatologic medical education with Large Language Model GPT-4. Canadian Medical Education Journal. 16(6). 29–31. 1 indexed citations
9.
10.
11.
Guo, Eddie, et al.. (2024). OSCEai: personalized interactive learning for undergraduate medical education. SHILAP Revista de lepidopterología. 16(6). 7–14. 2 indexed citations
12.
Park, Ye‐Jean, Jiawen Deng, Eddie Guo, et al.. (2024). Assessing the research landscape and clinical utility of large language models: a scoping review. BMC Medical Informatics and Decision Making. 24(1). 72–72. 85 indexed citations breakdown →
13.
Guo, Eddie, et al.. (2024). Healthcare spending versus mortality in central nervous system cancer: Has anything changed?. Neuro-Oncology Practice. 11(5). 566–574. 1 indexed citations
14.
Guo, Eddie, et al.. (2023). Deep Reinforcement Learning based Personalized Locomotion Planning for Lower-Limb Exoskeletons. 5127–5133. 6 indexed citations
15.
Guo, Eddie, Mehul Gupta, Jiawen Deng, et al.. (2023). Automated Paper Screening for Clinical Reviews Using Large Language Models: Data Analysis Study. Journal of Medical Internet Research. 26. e48996–e48996. 81 indexed citations
16.
Guo, Eddie, et al.. (2023). Mechanisms and clinical implications in renal carcinoma resistance: narrative review of immune checkpoint inhibitors. Cancer Drug Resistance. 6(2). 416–429. 7 indexed citations
17.
Guo, Eddie, Mehul Gupta, Sarthak Sinha, et al.. (2023). neuroGPT-X: toward a clinic-ready large language model. Journal of neurosurgery. 140(4). 1041–1053. 15 indexed citations
18.
Baghdadi, Amir, Eddie Guo, Sanju Lama, et al.. (2023). Force Profile as Surgeon-Specific Signature. SHILAP Revista de lepidopterología. 4(3). e326–e326. 2 indexed citations
19.
Park, Ye‐Jean, Jiawen Deng, Eddie Guo, et al.. (2023). Assessing the research landscape and clinical utility of large language models: A scoping review. Research Square. 1 indexed citations
20.
Guo, Eddie, et al.. (2021). Deep learning transcriptomic model for prediction of pan-drug chemotherapeutic sensitivity. 7(1). 40–53. 2 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Ye‐Jean Park Breakdown of academic impact, for papers by Mehul Gupta Breakdown of academic impact, for papers by Joshua Au Yeung Breakdown of academic impact, for papers by Isabella C. Wiest Breakdown of academic impact, for papers by Sophia M. Pressman Breakdown of academic impact, for papers by Cesar A. Gomez-Cabello Breakdown of academic impact, for papers by Melissa Rammage Breakdown of academic impact, for papers by Asad Aali Breakdown of academic impact, for papers by Cara Van Uden Breakdown of academic impact, for papers by Sisith Ariyaratne
Rankless by CCL
2026