Michael L. Good

762 total citations
29 papers, 500 citations indexed

About

Michael L. Good is a scholar working on Surgery, Anesthesiology and Pain Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Michael L. Good has authored 29 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 7 papers in Anesthesiology and Pain Medicine and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Michael L. Good's work include Airway Management and Intubation Techniques (5 papers), Cardiac, Anesthesia and Surgical Outcomes (5 papers) and Anesthesia and Sedative Agents (4 papers). Michael L. Good is often cited by papers focused on Airway Management and Intubation Techniques (5 papers), Cardiac, Anesthesia and Surgical Outcomes (5 papers) and Anesthesia and Sedative Agents (4 papers). Michael L. Good collaborates with scholars based in United States, Australia and Netherlands. Michael L. Good's co-authors include J. S. Gravenstein, Willem L. van Meurs, Samsun Lampotang, T. Y. Euliano, J. S. Gravenstein, John J. Andrews, Donald Caton, Rod Westhorpe, Jiancheng Yang and Patrick H. Carey and has published in prestigious journals such as Applied Physics Letters, Anesthesiology and Emerging infectious diseases.

In The Last Decade

Michael L. Good

29 papers receiving 453 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael L. Good United States 11 241 155 151 74 61 29 500
Sharon Griswold‐Theodorson United States 8 234 1.0× 161 1.0× 135 0.9× 72 1.0× 66 1.1× 10 396
Deven Chandra Canada 10 353 1.5× 143 0.9× 183 1.2× 123 1.7× 133 2.2× 14 548
V. Chopra Netherlands 6 219 0.9× 104 0.7× 212 1.4× 146 2.0× 63 1.0× 7 490
Megan A. Hayter Canada 13 179 0.7× 110 0.7× 165 1.1× 124 1.7× 113 1.9× 16 503
Heinz R. Bruppacher Switzerland 11 305 1.3× 138 0.9× 145 1.0× 114 1.5× 106 1.7× 14 568
Michael Heßler Germany 11 136 0.6× 90 0.6× 161 1.1× 24 0.3× 51 0.8× 30 575
Leonie Watterson Australia 10 197 0.8× 102 0.7× 71 0.5× 47 0.6× 35 0.6× 23 345
Heather French United States 10 180 0.7× 217 1.4× 108 0.7× 49 0.7× 83 1.4× 46 537
David Hananel United States 6 334 1.4× 200 1.3× 344 2.3× 95 1.3× 75 1.2× 14 655
Stephanie N. Sudikoff United States 10 423 1.8× 250 1.6× 81 0.5× 149 2.0× 185 3.0× 17 684

Countries citing papers authored by Michael L. Good

Since Specialization
Citations

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

Fields of papers citing papers by Michael L. Good

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael L. Good. 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 Michael L. Good. The network helps show where Michael L. Good may publish in the future.

Co-authorship network of co-authors of Michael L. Good

This figure shows the co-authorship network connecting the top 25 collaborators of Michael L. Good. A scholar is included among the top collaborators of Michael L. Good 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 Michael L. Good. Michael L. Good 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.
Mallon, William T., Deborah Deas, & Michael L. Good. (2023). Reasons for Optimism About Academic Medicine’s Actions Against Climate Change. Academic Medicine. 98(11). 1243–1246. 2 indexed citations
2.
3.
Meredith, Hannah R., Kyra H. Grantz, Richard Nelson, et al.. (2021). Coordinated Strategy for a Model-Based Decision Support Tool for Coronavirus Disease, Utah, USA. Emerging infectious diseases. 27(5). 1259–1265. 6 indexed citations
4.
Hromas, Robert, Robert Leverence, Lazarus K. Mramba, et al.. (2018). What a medical school chair wants from the dean. Journal of Healthcare Leadership. Volume 10. 33–44. 6 indexed citations
5.
Yang, Jiancheng, Patrick H. Carey, F. Ren, et al.. (2017). Rapid detection of cardiac troponin I using antibody-immobilized gate-pulsed AlGaN/GaN high electron mobility transistor structures. Applied Physics Letters. 111(20). 28 indexed citations
6.
Good, Michael L.. (2003). Patient simulation for training basic and advanced clinical skills. Medical Education. 37(s1). 14–21. 179 indexed citations
7.
Murray, W. Bosseau, et al.. (2002). Learning About New Anesthetics Using A Model Driven, Full Human Simulator. Journal of Clinical Monitoring and Computing. 17(5). 293–300. 21 indexed citations
8.
Lampotang, Samsun, et al.. (1998). TWITCHER: a device to stimulate thumb twitch response to ulnar nerve stimulation.. The Journal of Clinical Monitoring. 14(2). 135–140. 1 indexed citations
9.
Lampotang, Samsun, J. S. Gravenstein, T. Y. Euliano, et al.. (1998). Influence of Pulse Oximetry and Capnography on Time to Diagnosis of Critical Incidents in Anesthesia: A Pilot Study Using a Full-Scale Patient Simulator. Journal of Clinical Monitoring and Computing. 14(5). 313–321. 26 indexed citations
10.
Meurs, Willem L. van, et al.. (1998). Pharmacokinetic-pharmacodynamic model for educational simulations. IEEE Transactions on Biomedical Engineering. 45(5). 582–590. 21 indexed citations
11.
Lampotang, Samsun, et al.. (1997). Logistics of conducting a large number of individual sessions with a full-scale patient simulator at a scientific meeting.. The Journal of Clinical Monitoring. 13(6). 399–407. 8 indexed citations
12.
Good, Michael L., et al.. (1997). Comparison of Tests for Detecting Leaks in the Low-Pressure System of Anesthesia Gas Machines. Anesthesia & Analgesia. 84(1). 179–184. 10 indexed citations
13.
Euliano, T. Y., et al.. (1997). Modeling obstetric cardiovascular physiology on a full-scale patient simulator.. The Journal of Clinical Monitoring. 13(5). 293–297. 20 indexed citations
14.
Meurs, Willem L. van, Michael L. Good, & Samsun Lampotang. (1997). Functional anatomy of full-scale patient simulators.. The Journal of Clinical Monitoring. 13(5). 317–324. 40 indexed citations
15.
Lichtor, J. Lance, et al.. (1996). Research grant report: How does nicht call affect next-day performance in anesthesia?. The Journal of Clinical Monitoring. 12(3). 277–278. 2 indexed citations
16.
Lampotang, Samsun, et al.. (1994). Low-battery characteristic of the professional instruments ns-2ca nerve stimulator. Journal of Clinical Monitoring and Computing. 10(4). 276–276. 1 indexed citations
17.
Gravenstein, Nikolaus, et al.. (1991). Duration of Carbon Dioxide Absorption by Soda Lime at Low Rates of Fresh Gas Flow. Survey of Anesthesiology. XXXV(5). 270–270. 2 indexed citations
18.
Good, Michael L.. (1990). Capnography: Uses, Interpretation, and Pitfalls. ASA Refresher Courses in Anesthesiology. 18. 175–193. 5 indexed citations
19.
Good, Michael L. & J. S. Gravenstein. (1989). ANESTHESIA SIMULATORS AND TRAINING DEVICES. International Anesthesiology Clinics. 27(3). 161–166. 53 indexed citations
20.
Good, Michael L., Jerome H. Modell, & Walter L. Rush. (1988). DIFFERENTIATING ESOPHAGEAL FROM TRACHEAL CAPNOGRAMS. Anesthesiology. 69(3A). A266–A266. 1 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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