Andrew T. Sage

920 total citations
38 papers, 615 citations indexed

About

Andrew T. Sage is a scholar working on Surgery, Transplantation and Molecular Biology. According to data from OpenAlex, Andrew T. Sage has authored 38 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Surgery, 10 papers in Transplantation and 7 papers in Molecular Biology. Recurrent topics in Andrew T. Sage's work include Transplantation: Methods and Outcomes (29 papers), Organ Transplantation Techniques and Outcomes (15 papers) and Renal Transplantation Outcomes and Treatments (10 papers). Andrew T. Sage is often cited by papers focused on Transplantation: Methods and Outcomes (29 papers), Organ Transplantation Techniques and Outcomes (15 papers) and Renal Transplantation Outcomes and Treatments (10 papers). Andrew T. Sage collaborates with scholars based in Canada, United States and Belgium. Andrew T. Sage's co-authors include Shana O. Kelley, Edward H. Sargent, Brian Lam, Justin D. Besant, Geoff H. Werstuck, Yuanyuan Shi, Jagotamoy Das, Richard D. Holmes, Marcelo Cypel and Shaf Keshavjee and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Accounts of Chemical Research.

In The Last Decade

Andrew T. Sage

31 papers receiving 610 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew T. Sage Canada 13 253 245 178 73 70 38 615
Linda A. Tempelman United States 12 82 0.3× 118 0.5× 187 1.1× 10 0.1× 25 0.4× 19 427
H Nishida Japan 16 325 1.3× 77 0.3× 82 0.5× 7 0.1× 47 0.7× 76 765
Minghua Jiang China 12 237 0.9× 95 0.4× 47 0.3× 22 0.3× 69 1.0× 52 526
Weifei Zhang China 17 311 1.2× 468 1.9× 50 0.3× 9 0.1× 103 1.5× 35 739
J. Albers Germany 14 335 1.3× 289 1.2× 504 2.8× 85 1.2× 143 2.0× 16 1.1k
Robert Zuk United States 11 315 1.2× 189 0.8× 43 0.2× 24 0.3× 51 0.7× 19 751
Maria M. Stollenwerk Sweden 11 123 0.5× 104 0.4× 49 0.3× 15 0.2× 30 0.4× 21 395
Nam-Sihk Lee South Korea 11 272 1.1× 88 0.4× 44 0.2× 53 0.7× 145 2.1× 17 445
Vijay Kalra India 11 183 0.7× 46 0.2× 117 0.7× 41 0.6× 92 1.3× 33 596
Yongfeng Yang China 15 256 1.0× 43 0.2× 56 0.3× 23 0.3× 37 0.5× 65 643

Countries citing papers authored by Andrew T. Sage

Since Specialization
Citations

This map shows the geographic impact of Andrew T. Sage'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 Andrew T. Sage with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew T. Sage more than expected).

Fields of papers citing papers by Andrew T. Sage

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew T. Sage. 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 Andrew T. Sage. The network helps show where Andrew T. Sage may publish in the future.

Co-authorship network of co-authors of Andrew T. Sage

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew T. Sage. A scholar is included among the top collaborators of Andrew T. Sage 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 Andrew T. Sage. Andrew T. Sage 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.
Keshavjee, Shaf, Andrew T. Sage, Jonathan Yeung, et al.. (2025). One thousand cases of ex vivo lung perfusion for lung transplantation: A single-center experience. Journal of Thoracic and Cardiovascular Surgery. 171(2). 540–550.e2.
3.
Keshavjee, Shaf, et al.. (2025). Advancing lung transplantation through machine learning and artificial intelligence. Current Opinion in Pulmonary Medicine. 31(4). 381–386.
4.
McCaig, Alison M., Andrew T. Sage, Shaf Keshavjee, & Mingyao Liu. (2025). Biomarkers for human donor lung assessment during ex vivo lung perfusion. The Journal of Heart and Lung Transplantation. 45(2). 300–308.
5.
Wilson, Gavin W., et al.. (2025). Cell-free DNA in ex-vivo lung perfusate is associated with low-quality lungs and lung transplant outcome. The Journal of Heart and Lung Transplantation. 44(9). 1438–1448.
6.
Ramendra, Rayoun, Ella Huszti, Jan Havlín, et al.. (2024). Airway pepsinogen A4 identifies lung transplant recipients with microaspiration and predicts chronic lung allograft dysfunction. The Journal of Heart and Lung Transplantation. 43(6). 973–982. 1 indexed citations
7.
Sage, Andrew T., Micheal McInnis, Jerome Valero, et al.. (2024). Improving prognostic accuracy in lung transplantation using unique features of isolated human lung radiographs. npj Digital Medicine. 7(1). 272–272. 3 indexed citations
8.
Sage, Andrew T., John K. Peel, Jerome Valero, et al.. (2023). Time to extubation for lung transplant recipients represents a pragmatic end-point to guide the development of prognostic tests. The Journal of Heart and Lung Transplantation. 42(11). 1515–1517. 5 indexed citations
9.
Ramendra, Rayoun, Andrew T. Sage, Jonathan Yeung, et al.. (2023). Triaging donor lungs based on a microaspiration signature that predicts adverse recipient outcome. The Journal of Heart and Lung Transplantation. 42(4). 456–465. 4 indexed citations
10.
Sage, Andrew T., Jonathan Yeung, Xiaohui Bai, et al.. (2023). Identification of regional variation in gene expression and inflammatory proteins in donor lung tissue and ex vivo lung perfusate. Journal of Thoracic and Cardiovascular Surgery. 166(6). 1520–1528.e3. 1 indexed citations
11.
Zhou, Xiaohan, et al.. (2022). Kinetic Modeling of Ex Vivo Lung Perfusion Biomarkers for the Prediction of Lung Transplant Outcomes. The Journal of Heart and Lung Transplantation. 41(4). S256–S256. 1 indexed citations
12.
Nardo, Matteo Di, Lorenzo Del Sorbo, Andrew T. Sage, et al.. (2021). Predicting donor lung acceptance for transplant during ex vivo lung perfusion: The EX vivo lung PerfusIon pREdiction (EXPIRE). American Journal of Transplantation. 21(11). 3704–3713. 15 indexed citations
13.
Sage, Andrew T., Marcelo Cypel, Jonathan Yeung, et al.. (2021). The Reliability and Validity of Donor Tissue Biopsies in Lung Transplantation. The Journal of Heart and Lung Transplantation. 40(4). S347–S347. 2 indexed citations
14.
Baciu, Cristina, Andrew T. Sage, R. Zamel, et al.. (2020). Transcriptomic investigation reveals donor-specific gene signatures in human lung transplants. European Respiratory Journal. 57(4). 2000327–2000327. 26 indexed citations
15.
Sage, Andrew T., Melissa Richard‐Greenblatt, Kathleen Zhong, et al.. (2019). Validation of an EVLP Perfusate Diagnostic Test for the Prediction of Lung Transplant Outcomes. The Journal of Heart and Lung Transplantation. 38(4). S53–S53. 1 indexed citations
16.
Sage, Andrew T., Justin D. Besant, Laili Mahmoudian, et al.. (2015). Fractal circuit sensors enable rapid quantification of biomarkers for donor lung assessment for transplantation. Science Advances. 1(7). e1500417–e1500417. 30 indexed citations
17.
Poudineh, Mahla, Reza M. Mohamadi, Andrew T. Sage, et al.. (2014). Three-dimensional, sharp-tipped electrodes concentrate applied fields to enable direct electrical release of intact biomarkers from cells. Lab on a Chip. 14(10). 1785–1785. 22 indexed citations
18.
Sage, Andrew T., Justin D. Besant, Brian Lam, Edward H. Sargent, & Shana O. Kelley. (2014). Ultrasensitive Electrochemical Biomolecular Detection Using Nanostructured Microelectrodes. Accounts of Chemical Research. 47(8). 2417–2425. 106 indexed citations
19.
Sage, Andrew T., et al.. (2011). Metabolic Syndrome and Acute Hyperglycemia Are Associated With Endoplasmic Reticulum Stress in Human Mononuclear Cells. Obesity. 20(4). 748–755. 54 indexed citations
20.
London, Roanna, et al.. (2010). An Automated System for Rapid Non-Destructive Enumeration of Growing Microbes. PLoS ONE. 5(1). e8609–e8609. 30 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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