Scott A. Pardo

1.4k total citations
44 papers, 1000 citations indexed

About

Scott A. Pardo is a scholar working on Endocrinology, Diabetes and Metabolism, Biomedical Engineering and General Health Professions. According to data from OpenAlex, Scott A. Pardo has authored 44 papers receiving a total of 1000 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Biomedical Engineering and 6 papers in General Health Professions. Recurrent topics in Scott A. Pardo's work include Diabetes Management and Research (36 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (24 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers). Scott A. Pardo is often cited by papers focused on Diabetes Management and Research (36 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (24 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers). Scott A. Pardo collaborates with scholars based in United States, Germany and Canada. Scott A. Pardo's co-authors include Joan Lee Parkes, Barry H. Ginsberg, David A. Simmons, Jane F. Wallace, David C. Klonoff, Andreas Pfützner, Timothy S. Bailey, Joy S. Frank, Holly C. Schachner and Maria Teresa Viggiani and has published in prestigious journals such as Diabetes Care, Diabetes and Clinica Chimica Acta.

In The Last Decade

Scott A. Pardo

43 papers receiving 897 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Scott A. Pardo United States 15 780 214 214 163 108 44 1000
Manuela Link Germany 18 827 1.1× 410 1.9× 312 1.5× 160 1.0× 86 0.8× 37 1.0k
Nina Jendrike Germany 14 445 0.6× 167 0.8× 157 0.7× 107 0.7× 79 0.7× 47 704
Stefan Pleus Germany 20 1.2k 1.5× 503 2.4× 428 2.0× 206 1.3× 100 0.9× 96 1.4k
D. Barry Keenan United States 11 374 0.5× 288 1.3× 201 0.9× 99 0.6× 37 0.3× 17 621
Monika Reddy United Kingdom 23 1.1k 1.5× 713 3.3× 655 3.1× 111 0.7× 21 0.2× 66 1.4k
Volker Lodwig Germany 12 425 0.5× 124 0.6× 85 0.4× 67 0.4× 11 0.1× 21 553
J. Place France 17 1.3k 1.6× 1.1k 5.1× 816 3.8× 105 0.6× 19 0.2× 26 1.5k
Firas H. El-Khatib United States 18 1.6k 2.0× 1.3k 6.3× 921 4.3× 137 0.8× 30 0.3× 30 1.8k
Jordan E. Pinsker United States 22 1.1k 1.4× 727 3.4× 658 3.1× 86 0.5× 10 0.1× 80 1.4k
Ksenia N. Tonyushkina United States 9 295 0.4× 76 0.4× 102 0.5× 81 0.5× 24 0.2× 20 491

Countries citing papers authored by Scott A. Pardo

Since Specialization
Citations

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

Fields of papers citing papers by Scott A. Pardo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott A. Pardo. 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 Scott A. Pardo. The network helps show where Scott A. Pardo may publish in the future.

Co-authorship network of co-authors of Scott A. Pardo

This figure shows the co-authorship network connecting the top 25 collaborators of Scott A. Pardo. A scholar is included among the top collaborators of Scott A. Pardo 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 Scott A. Pardo. Scott A. Pardo 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.
Pardo, Scott A.. (2023). Statistical Methods and Analyses for Medical Devices. 1 indexed citations
2.
Eichenlaub, Manuel, et al.. (2022). Impact of Blood Glucose Monitoring System Accuracy on Clinical Decision Making for Diabetes Management. Journal of Diabetes Science and Technology. 17(3). 683–689. 4 indexed citations
3.
Brown, D. J., et al.. (2020). Accuracy and user performance evaluation of a blood glucose monitoring system which wirelessly transmits results to compatible insulin pumps. Current Medical Research and Opinion. 36(5). 757–764. 3 indexed citations
4.
Pardo, Scott A., et al.. (2018). Statistical Methods for Field and Laboratory Studies in Behavioral Ecology. 7 indexed citations
5.
Christiansen, Mark P., et al.. (2017). A New, Wireless-enabled Blood Glucose Monitoring System That Links to a Smart Mobile Device: Accuracy and User Performance Evaluation. Journal of Diabetes Science and Technology. 11(3). 567–573. 26 indexed citations
6.
Bailey, Timothy S., et al.. (2016). Fundamental Importance of Reference Glucose Analyzer Accuracy for Evaluating the Performance of Blood Glucose Monitoring Systems (BGMSs). Journal of Diabetes Science and Technology. 10(4). 872–875. 14 indexed citations
7.
Viggiani, Maria Teresa, et al.. (2015). Accuracy Evaluation of CONTOUR®PLUS Compared With Four Blood Glucose Monitoring Systems. Diabetes Therapy. 6(3). 377–388. 20 indexed citations
8.
Bailey, Timothy S., et al.. (2015). Accuracy and user performance evaluation of the Contour® Next Link 2.4 blood glucose monitoring system. Clinica Chimica Acta. 448. 139–145. 11 indexed citations
9.
Bedini, José Luis, Jane F. Wallace, Thorsten Petruschke, & Scott A. Pardo. (2015). A Multicenter Performance Evaluation of a Blood Glucose Monitoring System in 21 Leading Hospitals in Spain. Journal of Diabetes Science and Technology. 10(1). 93–100. 9 indexed citations
10.
Frank, Joy S., et al.. (2014). Accuracy and User Performance Evaluation of a Blood Glucose Monitoring System. Diabetes Technology & Therapeutics. 17(3). 152–158. 19 indexed citations
11.
Brown, D. J., et al.. (2014). Comparative Accuracy of 3 Blood Glucose Monitoring Systems that Communicate with An Insulin Pump. Endocrine Practice. 20(10). 1016–1021. 4 indexed citations
12.
13.
Wallace, Jane F., et al.. (2013). Accuracy Evaluation of Five Blood Glucose Monitoring Systems: The North American Comparator Trial. Journal of Diabetes Science and Technology. 7(5). 1294–1304. 26 indexed citations
14.
Pfützner, Andreas, David C. Klonoff, Scott A. Pardo, & Joan Lee Parkes. (2013). Technical Aspects of the Parkes Error Grid. Journal of Diabetes Science and Technology. 7(5). 1275–1281. 95 indexed citations
15.
Bailey, Timothy S., Jane F. Wallace, Joan Lee Parkes, et al.. (2012). Performance of a New Blood Glucose Monitoring System in the Hands of Intended Users. Diabetes Technology & Therapeutics. 14(9). 783–789. 8 indexed citations
16.
Robinson, Sally, et al.. (2012). Performance Evaluation of a New Blood Glucose Monitoring System in the Hands of Users. Canadian Journal of Diabetes. 36(5). S41–S41. 1 indexed citations
17.
Pettus, Jeremy, et al.. (2012). Differences Between Perceived Versus Measured Blood Glucose Test Results in People With Type 2 Diabetes. Canadian Journal of Diabetes. 36(5). S43–S44. 2 indexed citations
18.
Klingensmith, Georgeanna J., Javier Aisenberg, Francine Kaufman, et al.. (2011). Evaluation of a combined blood glucose monitoring and gaming system (Didget®) for motivation in children, adolescents, and young adults with type 1 diabetes. Pediatric Diabetes. 14(5). 350–357. 22 indexed citations
19.
Pardo, Scott A., et al.. (2008). Predicted Blood Glucose from Insulin Administration Based on Values from Miscoded Glucose Meters. Journal of Diabetes Science and Technology. 2(4). 557–562. 19 indexed citations
20.
Ross, Stuart A., et al.. (1999). Role Of Injection Technique In Use Of Insulin Pens: Prospective Evaluation Of A 31-Gauge, 8-Mm Insulin Pen Needle. Endocrine Practice. 5(5). 245–250. 15 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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2026