Sean Yu

1.4k total citations
26 papers, 657 citations indexed

About

Sean Yu is a scholar working on Molecular Biology, Epidemiology and Artificial Intelligence. According to data from OpenAlex, Sean Yu has authored 26 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Epidemiology and 6 papers in Artificial Intelligence. Recurrent topics in Sean Yu's work include Sepsis Diagnosis and Treatment (7 papers), Machine Learning in Healthcare (6 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Sean Yu is often cited by papers focused on Sepsis Diagnosis and Treatment (7 papers), Machine Learning in Healthcare (6 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Sean Yu collaborates with scholars based in United States, Canada and Chile. Sean Yu's co-authors include Swati Mehrotra, Aleš Vančura, Luciano Galdieri, Philip R. Tiller, José Castro‐Perez, Andrew P. Michelson, Philip Payne, Thomas A. Baillie, Suzie Yeh and Elizabeth Mahan and has published in prestigious journals such as The Journal of Immunology, Cancer Research and American Journal of Epidemiology.

In The Last Decade

Sean Yu

26 papers receiving 636 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sean Yu United States 14 321 120 90 62 43 26 657
Raymond Ramaker Netherlands 9 793 2.5× 271 2.3× 106 1.2× 11 0.2× 79 1.8× 9 1.2k
Guan‐Yuan Chen Taiwan 19 441 1.4× 204 1.7× 109 1.2× 5 0.1× 52 1.2× 66 978
Tailong Lei China 13 445 1.4× 65 0.5× 25 0.3× 17 0.3× 72 1.7× 22 879
Guanyang Lin China 19 340 1.1× 69 0.6× 80 0.9× 10 0.2× 215 5.0× 71 972
D Hochstrasser Switzerland 17 396 1.2× 202 1.7× 25 0.3× 12 0.2× 209 4.9× 36 1.0k
Timothy J. Carlson United States 19 215 0.7× 73 0.6× 31 0.3× 25 0.4× 201 4.7× 49 1.1k
Hyoung Rae Kim South Korea 21 417 1.3× 20 0.2× 62 0.7× 40 0.6× 129 3.0× 92 1.6k
P Valdiguié France 15 190 0.6× 56 0.5× 57 0.6× 13 0.2× 36 0.8× 59 806
Deborah Giordano Italy 10 154 0.5× 18 0.1× 45 0.5× 20 0.3× 25 0.6× 26 634
O. David Taunton United States 28 754 2.3× 48 0.4× 236 2.6× 56 0.9× 28 0.7× 46 2.6k

Countries citing papers authored by Sean Yu

Since Specialization
Citations

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

Fields of papers citing papers by Sean Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sean Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Sean Yu. A scholar is included among the top collaborators of Sean Yu 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 Sean Yu. Sean Yu 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.
Yu, Sean, et al.. (2024). HiMAL: Multimodal Hierarchical Multi-task Auxiliary Learning framework for predicting Alzheimer’s disease progression. JAMIA Open. 7(3). ooae087–ooae087. 1 indexed citations
2.
Lyons, Patrick G., Sean Yu, Andrew P. Michelson, et al.. (2023). Factors Associated With Variability in the Performance of a Proprietary Sepsis Prediction Model Across 9 Networked Hospitals in the US. JAMA Internal Medicine. 183(6). 611–611. 30 indexed citations
3.
Yu, Sean, Kevin D. Betthauser, Patrick G. Lyons, et al.. (2022). Sepsis Prediction for the General Ward Setting. Frontiers in Digital Health. 4. 848599–848599. 2 indexed citations
5.
Yu, Sean, Philip Payne, Albert M. Lai, et al.. (2021). A Pragmatic Machine Learning Model To Predict Carbapenem Resistance. Antimicrobial Agents and Chemotherapy. 65(7). e0006321–e0006321. 29 indexed citations
6.
Yao, Shihua, Tuong-Vi Nguyen, Alan Rolfe, et al.. (2020). Small Molecule Inhibition of CPS1 Activity through an Allosteric Pocket. Cell chemical biology. 27(3). 259–268.e5. 27 indexed citations
7.
Mody, Aaloke, Patrick G. Lyons, Cristina Vazquez Guillamet, et al.. (2020). The Clinical Course of Coronavirus Disease 2019 in a US Hospital System: A Multistate Analysis. American Journal of Epidemiology. 190(4). 539–552. 13 indexed citations
8.
Foraker, Randi E., Sean Yu, Aditi Gupta, et al.. (2020). Spot the difference: comparing results of analyses from real patient data and synthetic derivatives. JAMIA Open. 3(4). 557–566. 48 indexed citations
9.
Yu, Sean, Albert M. Lai, Julie E. Mangino, et al.. (2019). Novel Visualization of Clostridium difficile Infections in Intensive Care Units. PubMed. 3(2). e71–e77. 2 indexed citations
10.
Payne, Philip, Marcelo Lopetegui, & Sean Yu. (2019). A Review of Clinical Workflow Studies and Methods. 47–61. 5 indexed citations
11.
Paone, Daniel V., Diem N. Nguyen, Anthony W. Shaw, et al.. (2010). Orally bioavailable imidazoazepanes as calcitonin gene-related peptide (CGRP) receptor antagonists: Discovery of MK-2918. Bioorganic & Medicinal Chemistry Letters. 21(9). 2683–2686. 14 indexed citations
12.
Galdieri, Luciano, Swati Mehrotra, Sean Yu, & Aleš Vančura. (2010). Transcriptional Regulation in Yeast during Diauxic Shift and Stationary Phase. OMICS A Journal of Integrative Biology. 14(6). 629–638. 161 indexed citations
13.
Burgey, Christopher S., James Z. Deng, Scott D. Mosser, et al.. (2009). Optimization of azepanone calcitonin gene-related peptide (CGRP) receptor antagonists: Development of novel spiropiperidines. Bioorganic & Medicinal Chemistry Letters. 19(22). 6368–6372. 11 indexed citations
14.
Yu, Sean, et al.. (2009). Quantitation of small molecules using high‐resolution accurate mass spectrometers – a different approach for analysis of biological samples. Rapid Communications in Mass Spectrometry. 23(7). 1085–1094. 94 indexed citations
15.
Tiller, Philip R., Sean Yu, Kevin P. Bateman, et al.. (2008). Fractional mass filtering as a means to assess circulating metabolites in early human clinical studies. Rapid Communications in Mass Spectrometry. 22(22). 3510–3516. 29 indexed citations
16.
Tiller, Philip R., Sean Yu, José Castro‐Perez, Kerry L. Fillgrove, & Thomas A. Baillie. (2008). High‐throughput, accurate mass liquid chromatography/tandem mass spectrometry on a quadrupole time‐of‐flight system as a ‘first‐line’ approach for metabolite identification studies. Rapid Communications in Mass Spectrometry. 22(7). 1053–1061. 79 indexed citations
17.
Arikawa, Emi, et al.. (2007). Real-time PCR array for simultaneous evaluation of multiple cytokine mRNA expression (B204). The Journal of Immunology. 178(1_Supplement). LB42–LB43. 1 indexed citations
18.
Lyle, Terry A., Daniel R. McMasters, Philip E.J. Sanderson, et al.. (2006). Discovery of potent, selective 4-fluoroproline-based thrombin inhibitors with improved metabolic stability. Bioorganic & Medicinal Chemistry. 14(20). 6900–6916. 31 indexed citations
19.
Li, Chunze, Raju Subramanian, Sean Yu, & Thomayant Prueksaritanont. (2005). ACYL-COENZYME A FORMATION OF SIMVASTATIN IN MOUSE LIVER PREPARATIONS. Drug Metabolism and Disposition. 34(1). 102–110. 12 indexed citations
20.
Wong, B K, Xin Xu, Sean Yu, et al.. (2004). Comparative disposition of [14C]ertapenem, a novel carbapenem antibiotic, in rat, monkey and man. Xenobiotica. 34(4). 379–389. 19 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

Rankless by CCL
2026