Samuel Gluck

1.2k total citations
45 papers, 317 citations indexed

About

Samuel Gluck is a scholar working on Cardiology and Cardiovascular Medicine, Emergency Medicine and General Health Professions. According to data from OpenAlex, Samuel Gluck has authored 45 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cardiology and Cardiovascular Medicine, 10 papers in Emergency Medicine and 7 papers in General Health Professions. Recurrent topics in Samuel Gluck's work include Emergency and Acute Care Studies (8 papers), Cardiac, Anesthesia and Surgical Outcomes (6 papers) and Health Systems, Economic Evaluations, Quality of Life (5 papers). Samuel Gluck is often cited by papers focused on Emergency and Acute Care Studies (8 papers), Cardiac, Anesthesia and Surgical Outcomes (6 papers) and Health Systems, Economic Evaluations, Quality of Life (5 papers). Samuel Gluck collaborates with scholars based in Australia, United States and United Kingdom. Samuel Gluck's co-authors include Adam M. Deane, Stephen Bacchi, Matthew J. Summers, Marianne J. Chapman, Lee‐anne S. Chapple, Simon A. Koblar, Jim Jannes, Timothy Kleinig, Imre W. K. Kouw and Luc J. C. van Loon and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, Cancer Research and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Samuel Gluck

36 papers receiving 312 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samuel Gluck Australia 9 57 53 53 52 51 45 317
Michelle P. Zeller Canada 11 11 0.2× 158 3.0× 51 1.0× 28 0.5× 51 1.0× 44 405
Stephen McKean United States 13 14 0.2× 58 1.1× 12 0.2× 89 1.7× 43 0.8× 23 358
Shang‐Chih Liao Taiwan 13 23 0.4× 36 0.7× 42 0.8× 31 0.6× 6 0.1× 28 390
Murilo Guedes Brazil 13 18 0.3× 104 2.0× 18 0.3× 31 0.6× 20 0.4× 49 423
Taiju Miyagami Japan 8 19 0.3× 9 0.2× 23 0.4× 36 0.7× 10 0.2× 54 229
Jeerath Phannajit Thailand 11 20 0.4× 22 0.4× 20 0.4× 20 0.4× 11 0.2× 39 302
Kyle White Australia 9 56 1.0× 4 0.1× 37 0.7× 82 1.6× 27 0.5× 51 269
Rebecca L. Qualy United States 9 12 0.2× 19 0.4× 14 0.3× 337 6.5× 107 2.1× 13 540
Jonathan Leff United States 9 14 0.2× 20 0.4× 12 0.2× 14 0.3× 16 0.3× 24 261

Countries citing papers authored by Samuel Gluck

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Gluck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel Gluck

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel Gluck. A scholar is included among the top collaborators of Samuel Gluck 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 Samuel Gluck. Samuel Gluck 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.
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Cook, Benjamin K., Brandon Stretton, Joshua G. Kovoor, et al.. (2024). A brief history of ramping. Internal Medicine Journal. 54(9). 1577–1580. 1 indexed citations
3.
To, Minh‐Son, Christopher D. Ovenden, Joshua G. Kovoor, et al.. (2024). Vital sign measurements demonstrate terminal digit bias and boundary effects. Emergency Medicine Australasia. 36(4). 543–546. 5 indexed citations
4.
Cook, Benjamin K., Brandon Stretton, Joshua G. Kovoor, et al.. (2024). Large language models can effectively extract stroke and reperfusion audit data from medical free-text discharge summaries. Journal of Clinical Neuroscience. 129. 110847–110847. 6 indexed citations
5.
Teo, Melissa, Brandon Stretton, Joshua G. Kovoor, et al.. (2024). Medication shortage behaviour change with multidisciplinary clinician-designed digital notification intervention. International Journal of Pharmacy Practice. 33(1). 124–126.
6.
Bacchi, Stephen, et al.. (2023). Low-risk cefalexin allergies are associated with inpatient prescribing of second-line non-beta-lactam antibiotics. Allergo Journal International. 33(3). 73–79. 1 indexed citations
7.
Stretton, Brandon, Joshua G. Kovoor, Stephen Bacchi, et al.. (2023). Impact of perioperative direct oral anticoagulant assays: a multicenter cohort study. Hospital Practice. 51(3). 155–162. 5 indexed citations
8.
Kovoor, Joshua G., Stephen Bacchi, Brandon Stretton, et al.. (2023). Vital signs and medical emergency response (MER) activation predict in‐hospital mortality in general surgery patients: a study of 15 969 admissions. ANZ Journal of Surgery. 93(10). 2426–2432.
9.
Bacchi, Stephen, Joshua G. Kovoor, Aashray Gupta, et al.. (2023). Systolic blood pressure levels and mortality in Australian medical inpatients. Journal of Clinical Hypertension. 25(11). 1036–1039. 1 indexed citations
10.
James, Jonathan, Brandon Stretton, Joshua G. Kovoor, et al.. (2023). Why do we evaluate 30‐day readmissions in general medicine? A historical perspective and contemporary data. Internal Medicine Journal. 53(6). 1070–1075. 7 indexed citations
11.
Gluck, Samuel, et al.. (2022). Pre‐hospital emergency anaesthesia in trauma patients: An observational study from a state‐wide Australian pre‐hospital and retrieval service. Emergency Medicine Australasia. 34(5). 711–716. 2 indexed citations
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Chapple, Lee‐anne S., Imre W. K. Kouw, Matthew J. Summers, et al.. (2022). Muscle Protein Synthesis after Protein Administration in Critical Illness. American Journal of Respiratory and Critical Care Medicine. 206(6). 740–749. 69 indexed citations
14.
Bacchi, Stephen, et al.. (2022). Antibiotic Prescribing Practices Differ between Patients with Penicillin Intolerance and Penicillin Allergy Labels. International Archives of Allergy and Immunology. 184(2). 171–175. 6 indexed citations
15.
Bacchi, Stephen, Samuel Gluck, Yiran Tan, et al.. (2021). Daily estimates of individual discharge likelihood with deep learning natural language processing in general medicine: a prospective and external validation study. Internal and Emergency Medicine. 17(2). 411–415. 6 indexed citations
16.
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Bacchi, Stephen, Samuel Gluck, Yiran Tan, et al.. (2020). Prediction of general medical admission length of stay with natural language processing and deep learning: a pilot study. Internal and Emergency Medicine. 15(6). 989–995. 34 indexed citations
18.
Gluck, Samuel, Matthew J. Summers, Mark Finnis, et al.. (2019). An observational study investigating the use of patient-owned technology to quantify physical activity in survivors of critical illness. Australian Critical Care. 33(2). 137–143. 6 indexed citations
19.
20.
Duggan, Peter, Karen Booth, A Chaudhry, et al.. (2002). Unrelated donor BMT recipients given pretransplant low-dose antithymocyte globulin have outcomes equivalent to matched sibling BMT: a matched pair analysis. Bone Marrow Transplantation. 30(10). 681–686. 55 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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