Michael G. Leu

5.2k total citations · 1 hit paper
34 papers, 3.0k citations indexed

About

Michael G. Leu is a scholar working on General Health Professions, Health Information Management and Surgery. According to data from OpenAlex, Michael G. Leu has authored 34 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in General Health Professions, 14 papers in Health Information Management and 7 papers in Surgery. Recurrent topics in Michael G. Leu's work include Electronic Health Records Systems (14 papers), Mobile Health and mHealth Applications (8 papers) and Healthcare Systems and Technology (7 papers). Michael G. Leu is often cited by papers focused on Electronic Health Records Systems (14 papers), Mobile Health and mHealth Applications (8 papers) and Healthcare Systems and Technology (7 papers). Michael G. Leu collaborates with scholars based in United States, Canada and Australia. Michael G. Leu's co-authors include Elaine M. Urbina, Janis M. Dionne, Stephen R. Daniels, Douglas L. Blowey, Vidhu Thaker, Joseph T. Flynn, Sarah D. de Ferranti, Susan K. Flinn, Samuel S. Gidding and Joshua Samuels and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, PEDIATRICS and Journal of General Internal Medicine.

In The Last Decade

Michael G. Leu

32 papers receiving 2.9k citations

Hit Papers

Clinical Practice Guideline for Screening and Management ... 2017 2026 2020 2023 2017 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael G. Leu United States 17 962 752 749 393 392 34 3.0k
Guichan Cao United States 29 902 0.9× 622 0.8× 358 0.5× 249 0.6× 381 1.0× 50 3.6k
Nisha I. Parikh United States 32 1.8k 1.8× 558 0.7× 843 1.1× 158 0.4× 253 0.6× 102 4.1k
Adi Leiba Israel 25 356 0.4× 610 0.8× 467 0.6× 214 0.5× 172 0.4× 88 2.3k
Sylvie Perreault Canada 36 937 1.0× 449 0.6× 287 0.4× 290 0.7× 464 1.2× 153 3.9k
Paola Primatesta United Kingdom 31 1.5k 1.6× 1.0k 1.4× 246 0.3× 422 1.1× 319 0.8× 58 4.3k
Bruce Z. Morgenstern United States 20 766 0.8× 488 0.6× 262 0.3× 168 0.4× 210 0.5× 55 2.2k
David A. Shoham United States 33 340 0.4× 551 0.7× 301 0.4× 385 1.0× 393 1.0× 63 3.1k
J. Michael Paterson Canada 41 931 1.0× 1.9k 2.5× 627 0.8× 482 1.2× 312 0.8× 175 6.1k
Shuchi Anand United States 29 735 0.8× 358 0.5× 194 0.3× 301 0.8× 157 0.4× 93 3.0k
Eric L. Knight United States 23 1.2k 1.2× 378 0.5× 327 0.4× 189 0.5× 670 1.7× 31 4.0k

Countries citing papers authored by Michael G. Leu

Since Specialization
Citations

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

Fields of papers citing papers by Michael G. Leu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael G. Leu

This figure shows the co-authorship network connecting the top 25 collaborators of Michael G. Leu. A scholar is included among the top collaborators of Michael G. Leu 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 G. Leu. Michael G. Leu 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.
Pozdeyev, Nikita, Manjiri Dighe, Martin Barrio, et al.. (2023). OR32-02 Thyroid Cancer Polygenic Risk Score Improves Risk Stratification Of Thyroid Nodules When Added To Ultrasound Imaging. Journal of the Endocrine Society. 7(Supplement_1). 1 indexed citations
3.
Pozdeyev, Nikita, Manjiri Dighe, Martin Barrio, et al.. (2023). Thyroid Cancer Polygenic Risk Score Improves Classification of Thyroid Nodules as Benign or Malignant. The Journal of Clinical Endocrinology & Metabolism. 109(2). 402–412. 11 indexed citations
5.
Hron, Jonathan D., Christoph U. Lehmann, S. Wesley Long, et al.. (2023). Creation and Evaluation of a Clinical Informatics Match: Initial Findings. Applied Clinical Informatics. 14(5). 973–980.
6.
Leu, Michael G., et al.. (2021). Web Services and Cloud Computing in Pediatric Care. PEDIATRICS. 148(1). 5 indexed citations
7.
Pozdeyev, Nikita, et al.. (2020). Adherence to Recommended Post-Splenectomy Immunizations to Reduce the Risk of Sepsis: The University of Washington Experience. American Journal of Medical Quality. 35(5). 405–410. 2 indexed citations
8.
Feld, Leonard G., Daniel R. Neuspiel, Byron A. Foster, et al.. (2018). Clinical Practice Guideline: Maintenance Intravenous Fluids in Children. PEDIATRICS. 142(6). 122 indexed citations
9.
Baker‐Smith, Carissa M., Susan K. Flinn, Joseph T. Flynn, et al.. (2018). Diagnosis, Evaluation, and Management of High Blood Pressure in Children and Adolescents. PEDIATRICS. 142(3). 49 indexed citations
10.
Leu, Michael G., et al.. (2018). Neonatal Jaundice: Improved Quality and Cost Savings After Implementation of a Standard Pathway. PEDIATRICS. 141(3). 20 indexed citations
11.
Flynn, Joseph T., David C. Kaelber, Carissa M. Baker‐Smith, et al.. (2017). Clinical Practice Guideline for Screening and Management of High Blood Pressure in Children and Adolescents. PEDIATRICS. 140(3). 2198 indexed citations breakdown →
12.
Richards, Morgan K., Christopher I. Li, Michael G. Leu, et al.. (2016). Resource utilization after implementing a hospital-wide standardized feeding tube placement pathway. Journal of Pediatric Surgery. 51(10). 1674–1679. 22 indexed citations
13.
Rutman, Lori, Robert C. Atkins, Russell Migita, et al.. (2016). Modification of an Established Pediatric Asthma Pathway Improves Evidence-Based, Efficient Care. PEDIATRICS. 138(6). 26 indexed citations
14.
Leu, Michael G., et al.. (2014). Nutrition Interventions to Optimize Pediatric Wound Healing. Nutrition in Clinical Practice. 29(4). 473–482. 12 indexed citations
15.
Lehmann, Christoph U., Kevin B. Johnson, Mark A. Del Beccaro, et al.. (2013). Electronic Prescribing in Pediatrics: Toward Safer and More Effective Medication Management. PEDIATRICS. 131(4). 824–826. 22 indexed citations
16.
Johnson, Kevin B., Christoph U. Lehmann, Mark A. Del Beccaro, et al.. (2013). Electronic Prescribing in Pediatrics: Toward Safer and More Effective Medication Management. PEDIATRICS. 131(4). e1350–e1356. 55 indexed citations
17.
Blythe, Margaret J., William P. Adelman, Cora C. Breuner, et al.. (2012). Standards for Health Information Technology to Ensure Adolescent Privacy. PEDIATRICS. 130(5). 987–990. 56 indexed citations
18.
Leu, Michael G., et al.. (2010). Online clinical calculators abound, but few useful for pediatrics. AAP News. 31(2). 30–30. 1 indexed citations
19.
Leu, Michael G., Tashonna R. Webster, Leslie Curry, et al.. (2008). Centers Speak Up: The Clinical Context for Health Information Technology in the Ambulatory Care Setting. Journal of General Internal Medicine. 23(4). 372–378. 18 indexed citations
20.
Shields, Alexandra E., Peter Shin, Michael G. Leu, et al.. (2007). Adoption Of Health Information Technology In Community Health Centers: Results Of A National Survey. Health Affairs. 26(5). 1373–1383. 91 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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