Christine Lee

1.2k total citations · 1 hit paper
19 papers, 760 citations indexed

About

Christine Lee is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Christine Lee has authored 19 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 9 papers in Cardiology and Cardiovascular Medicine and 3 papers in Epidemiology. Recurrent topics in Christine Lee's work include Cardiac, Anesthesia and Surgical Outcomes (8 papers), Hemodynamic Monitoring and Therapy (7 papers) and Blood Pressure and Hypertension Studies (3 papers). Christine Lee is often cited by papers focused on Cardiac, Anesthesia and Surgical Outcomes (8 papers), Hemodynamic Monitoring and Therapy (7 papers) and Blood Pressure and Hypertension Studies (3 papers). Christine Lee collaborates with scholars based in United States, France and Canada. Christine Lee's co-authors include Maxime Cannesson, Joseph Rinehart, Feras Hatib, Zhongping Jian, Karen S. Sibert, Jos J. Settels, Cecilia Canales, Ira Hofer, Pierre Baldi and Eilon Gabel and has published in prestigious journals such as Journal of Virology, Anesthesiology and Journal of Affective Disorders.

In The Last Decade

Christine Lee

18 papers receiving 750 citations

Hit Papers

Machine-learning Algorithm to Predict Hypotension Based o... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christine Lee United States 11 476 456 150 121 89 19 760
José P. Garcia United States 17 246 0.5× 125 0.3× 18 0.1× 167 1.4× 73 0.8× 36 775
Ken Junyang Goh Singapore 12 84 0.2× 93 0.2× 18 0.1× 82 0.7× 51 0.6× 33 696
Mjaye Mazwi Canada 14 136 0.3× 184 0.4× 143 1.0× 72 0.6× 110 1.2× 51 724
Chris Giordano United States 9 113 0.2× 117 0.3× 124 0.8× 30 0.2× 73 0.8× 21 418
Chun‐Ka Wong Hong Kong 14 203 0.4× 524 1.1× 16 0.1× 155 1.3× 14 0.2× 76 941
Shawn Khan Canada 10 119 0.3× 121 0.3× 69 0.5× 64 0.5× 23 0.3× 48 492
Andrew Bishara United States 8 91 0.2× 111 0.2× 154 1.0× 34 0.3× 114 1.3× 17 458
Kristin Corey United States 9 149 0.3× 76 0.2× 97 0.6× 28 0.2× 116 1.3× 20 516
Karthik Seetharam United States 13 140 0.3× 384 0.8× 72 0.5× 73 0.6× 28 0.3× 50 627
Raphael Romano Bruno Germany 11 153 0.3× 79 0.2× 18 0.1× 85 0.7× 12 0.1× 39 428

Countries citing papers authored by Christine Lee

Since Specialization
Citations

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

Fields of papers citing papers by Christine Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christine Lee

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

All Works

19 of 19 papers shown
2.
Lee, Christine, et al.. (2024). Large Language Models Versus Expert Clinicians in Crisis Prediction Among Telemental Health Patients: Comparative Study. JMIR Mental Health. 11. e58129–e58129. 9 indexed citations
3.
Belanger, Heather G., et al.. (2023). Symptom clustering of major depression in a national telehealth sample. Journal of Affective Disorders. 338. 129–134. 4 indexed citations
4.
Mahrer, Nicole E., et al.. (2022). Telehealth-Supported Decision-making Psychiatric Care for Suicidal Ideation: Longitudinal Observational Study. JMIR Formative Research. 6(9). e37746–e37746. 3 indexed citations
5.
Lee, Christine, et al.. (2021). Surgical Treatment of Pediatric Dog-bite Wounds: A 5-year Retrospective Review. Western Journal of Emergency Medicine. 22(6). 1301–1310. 2 indexed citations
6.
Lee, Christine, et al.. (2021). Machine Learning, Deep Learning, and Closed Loop Devices—Anesthesia Delivery. Anesthesiology Clinics. 39(3). 565–581. 28 indexed citations
7.
Hofer, Ira, Christine Lee, Eilon Gabel, Pierre Baldi, & Maxime Cannesson. (2020). Development and validation of a deep neural network model to predict postoperative mortality, acute kidney injury, and reintubation using a single feature set. npj Digital Medicine. 3(1). 58–58. 50 indexed citations
8.
Canales, Cecilia, Christine Lee, & Maxime Cannesson. (2020). Science Without Conscience Is but the Ruin of the Soul: The Ethics of Big Data and Artificial Intelligence in Perioperative Medicine. Anesthesia & Analgesia. 130(5). 1234–1243. 22 indexed citations
9.
Hill, Brian L., Robert J. Brown, Eilon Gabel, et al.. (2019). An automated machine learning-based model predicts postoperative mortality using readily-extractable preoperative electronic health record data. British Journal of Anaesthesia. 123(6). 877–886. 55 indexed citations
11.
Lee, Christine & Kendall Ho. (2019). Knowledge to action framework for home health monitoring. Healthcare Management Forum. 32(4). 183–187. 2 indexed citations
12.
Pirracchio, Romain, Mitchell J. Cohen, Ivana Malenica, et al.. (2018). Big data and targeted machine learning in action to assist medical decision in the ICU. Anaesthesia Critical Care & Pain Medicine. 38(4). 377–384. 38 indexed citations
13.
Hatib, Feras, Zhongping Jian, Christine Lee, et al.. (2018). Machine-learning Algorithm to Predict Hypotension Based on High-fidelity Arterial Pressure Waveform Analysis. Anesthesiology. 129(4). 663–674. 345 indexed citations breakdown →
14.
Saleh, Asmalina, Joshua Danish, Noel Enyedy, & Christine Lee. (2015). Assessing Young Children’s Cognition through Multi-Modal Interviews. Computer Supported Collaborative Learning. 4 indexed citations
15.
Rinehart, Joseph, Marc Lilot, Christine Lee, et al.. (2015). Closed-loop assisted versus manual goal-directed fluid therapy during high-risk abdominal surgery: a case–control study with propensity matching. Critical Care. 19(1). 94–94. 54 indexed citations
16.
Rinehart, Joseph, et al.. (2013). Closed-Loop Fluid Administration Compared to Anesthesiologist Management for Hemodynamic Optimization and Resuscitation During Surgery. Anesthesia & Analgesia. 117(5). 1119–1129. 48 indexed citations
17.
Rinehart, Joseph, Christine Lee, Maxime Cannesson, & Guy A. Dumont. (2013). Closed-Loop Fluid Resuscitation. Anesthesia & Analgesia. 117(5). 1110–1118. 32 indexed citations
18.
Lee, Christine, et al.. (2012). Sex Education Among Asian American College Females: Who is Teaching them and What is Being Taught. Journal of Immigrant and Minority Health. 15(2). 350–356. 9 indexed citations
19.
Palmarini, Massimo, J. M. Sharp, Christine Lee, & Hung Fan. (1999). In Vitro Infection of Ovine Cell Lines by Jaagsiekte Sheep Retrovirus. Journal of Virology. 73(12). 10070–10078. 44 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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