Sidney Le

1.1k citations

28 papers · 729 indexed · h-index 15

Impact in

Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
Family Practice top 5%

Papers in ⓘ

Epidemiology 10
- Sepsis Diagnosis and Treatment 8
Surgery 9
- Enhanced Recovery After Surgery 3

Co-authors: Ritankar Das (9 shared papers)Jacob Calvert (6 shared papers)Emily Pellegrini (7 shared papers)Renee Y. Hsia (3 shared papers)Jana Hoffman (7 shared papers)Christopher Barton (3 shared papers)Jaydev B. Mistry (2 shared papers)Randa K. Elmallah (2 shared papers)
Journals: Journal of the American College of Surgeons (2 papers)JAMA Internal Medicine (2 papers)Journal of the American Geriatrics Society (1 paper)BMJ Open (1 paper)Frontiers in Pediatrics (1 paper)
Partner nations: United States United Kingdom New Zealand

In The Last Decade

Sidney Le

27 papers receiving 686 citations

Peers

Countries citing papers authored by Sidney Le

Since Specialization

Citations

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

Fields of papers citing papers by Sidney Le

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sidney Le, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sidney Le Line = papers co-authored together Sidney Le links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Evaluation of a machine learning algorithm for up to 48-hour advance prediction of sepsis using six vital signs Computers in Biology and Medicine ·Christopher Barton, Uli K. Chettipally, Yifan Zhou, Zirui Jiang, Anna Lynn-Palevsky, Sidney Le, Jacob Calvert, Ritankar Das	2019	115
2	Trunnionosis in total hip arthroplasty: a review Journal of Orthopaedics and Traumatology ·Jaydev B. Mistry, Morad Chughtai, Randa K. Elmallah, Aloise M. Diedrich, Sidney Le, Melbin Thomas, Michael A. Mont	2016	94
3	Pediatric Severe Sepsis Prediction Using Machine Learning Frontiers in Pediatrics ·Sidney Le, Jana Hoffman, Christopher Barton, Julie C. Fitzgerald, Angier Allen, Emily Pellegrini, Jacob Calvert, Ritankar Das	2019	83
4	Supervised machine learning for the early prediction of acute respiratory distress syndrome (ARDS) Journal of Critical Care ·Sidney Le, Emily Pellegrini, Abigail Green‐Saxena, Charlotte Summers, Jana Hoffman, Jacob Calvert, Ritankar Das	2020	58
5	What Influences How Patients Rate Their Hospital After Total Hip Arthroplasty? The Journal of Arthroplasty ·Jaydev B. Mistry, Morad Chughtai, Randa K. Elmallah, Sidney Le, Peter M. Bonutti, Ronald E. Delanois, Michael A. Mont	2016	57
6	Effect of a sepsis prediction algorithm on patient mortality, length of stay and readmission: a prospective multicentre clinical outcomes evaluation of real-world patient data from US hospitals BMJ Health & Care Informatics ·Hoyt Burdick, Eduardo Pino, Denise Gabel-Comeau, Andrea J. McCoy, Carol Gu, Jonathan Roberts, Sidney Le, Joseph Slote, Emily Pellegrini, Abigail Green‐Saxena, Jana Hoffman, Ritankar Das	2020	48
7	Convolutional Neural Network Model for Intensive Care Unit Acute Kidney Injury Prediction Kidney International Reports ·Sidney Le, Angier Allen, Jacob Calvert, Paul M. Palevsky, Gregory L. Braden, Sharad Patel, Emily Pellegrini, Abigail Green‐Saxena, Jana Hoffman, Ritankar Das	2021	40
8	Community characteristics associated with where urgent care centers are located: a cross-sectional analysis BMJ Open ·Sidney Le, Renee Y. Hsia	2016	33
9	Validation of a machine learning algorithm for early severe sepsis prediction: a retrospective study predicting severe sepsis up to 48 h in advance using a diverse dataset from 461 US hospitals BMC Medical Informatics and Decision Making ·Hoyt Burdick, Eduardo Pino, Denise Gabel-Comeau, Carol Gu, Jonathan Roberts, Sidney Le, Joseph Slote, Nicholas Saber, Emily Pellegrini, Abigail Green‐Saxena, Jana Hoffman, Ritankar Das	2020	29
10	Compensation of Chief Executive Officers at Nonprofit US Hospitals JAMA Internal Medicine ·Karen E. Joynt, Sidney Le, E. John Orav, Ashish K. Jha	2013	27
11	Comparison of Electronic Frailty Metrics for Prediction of Adverse Outcomes of Abdominal Surgery JAMA Surgery ·Sidney Le, Vincent X. Liu, Patricia Kipnis, Jie Zhang, Peter D. Peng, Elizabeth M. Cespedes Feliciano	2022	25
12	COVID-19 Vaccination and the Timing of Surgery Following COVID-19 Infection Annals of Surgery ·Sidney Le, Patricia Kipnis, Bradley R. Cohn, Vincent X. Liu	2022	22
13	In California, Not-For-Profit Hospitals Spent More Operating Expenses On Charity Care Than For-Profit Hospitals Spent Health Affairs ·Erica Valdovinos, Sidney Le, Renee Y. Hsia	2015	17
14	Centralization of pancreatic cancer treatment within an integrated healthcare system improves overall survival The American Journal of Surgery ·Diana S. Hsu, Nikathan Kumar, Sidney Le, Alex L. Chang, George Kazantsev, Austin L. Spitzer, Peter D. Peng, Ching-Kuo Chang	2021	16
15	Multicenter validation of a machine-learning algorithm for 48-h all-cause mortality prediction Health Informatics Journal ·Hamid Mohamadlou, Saarang Panchavati, J.R. Calvert, Anna Lynn-Palevsky, Sidney Le, Angier Allen, Emily Pellegrini, Abigail Green‐Saxena, Christopher Barton, Grant Fletcher, Lisa Shieh, Philip B. Stark, Uli K. Chettipally, David Shimabukuro, Mitchell D. Feldman, Ritankar Das	2019	15
16	Access, quality, and costs of care at physician owned hospitals in the United States: observational study BMJ ·Daniel M. Blumenthal, E. John Orav, Anupam B. Jena, David M. Dudzinski, Sidney Le, Ashish K. Jha	2015	14
17	Timeliness of Care in US Emergency Departments JAMA Internal Medicine ·Sidney Le, Renee Y. Hsia	2014	14
18	Many Neurology Readmissions Are Nonpreventable The Neurohospitalist ·Sidney Le, S. Andrew Josephson, H. Adrian Püttgen, Lorrie Gibson, Elan L. Guterman, Heather M. Leicester, Carla Graf, John C. Probasco	2016	5
19	Geographic Variation in Out‐of‐Pocket Expenditures of Elderly Medicare Beneficiaries Journal of the American Geriatrics Society ·Lena M. Chen, Edward C. Norton, Kenneth M. Langa, Sidney Le, Arnold M. Epstein	2014	5
20	Decreasing trends in reintervention and readmission after endovascular aneurysm repair in a multiregional implant registry Journal of Vascular Surgery ·Sidney Le, Heather A. Prentice, Jessica Harris, Jeffrey H. Hsu, Thomas F. Rehring, Nicolas A. Nelken, Homayon Hajarizadeh, Robert W. Chang	2022	3

About Sidney Le

Sidney Le is a scholar working on Epidemiology, Surgery, Economics and Econometrics, Pulmonary and Respiratory Medicine and Oncology, having authored 28 papers that have together received 729 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (8 papers), Healthcare Policy and Management (6 papers), Patient Satisfaction in Healthcare (4 papers), Machine Learning in Healthcare (4 papers), Enhanced Recovery After Surgery (3 papers), Neuroblastoma Research and Treatments (2 papers), Emergency and Acute Care Studies (2 papers) and Economic and Financial Impacts of Cancer (2 papers). The work is most often cited by research in Health Informatics (54 citations), Family Practice (47 citations), Health Information Management (41 citations), Emergency Medicine (83 citations) and Critical Care and Intensive Care Medicine (38 citations). Sidney Le has collaborated with scholars based in United States, United Kingdom and New Zealand. Frequent co-authors include Ritankar Das, Jacob Calvert, Emily Pellegrini, Renee Y. Hsia, Jana Hoffman, Christopher Barton, Jaydev B. Mistry, Randa K. Elmallah, Morad Chughtai and Michael A. Mont. Their work appears in journals such as Journal of the American College of Surgeons, JAMA Internal Medicine, Journal of the American Geriatrics Society, BMJ Open and Frontiers in Pediatrics.

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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