Maya Kessler

1.1k total citations · 1 hit paper
8 papers, 676 citations indexed

About

Maya Kessler is a scholar working on Health Information Management, Public Health, Environmental and Occupational Health and Economics and Econometrics. According to data from OpenAlex, Maya Kessler has authored 8 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Health Information Management, 3 papers in Public Health, Environmental and Occupational Health and 3 papers in Economics and Econometrics. Recurrent topics in Maya Kessler's work include Clinical practice guidelines implementation (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers) and Electronic Health Records Systems (3 papers). Maya Kessler is often cited by papers focused on Clinical practice guidelines implementation (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers) and Electronic Health Records Systems (3 papers). Maya Kessler collaborates with scholars based in United States, United Kingdom and Belarus. Maya Kessler's co-authors include Víctor M. Montori, Michael R. Gionfriddo, Frances S Mair, Juan P. Brito, Zhen Wang, Katie Gallacher, Henry H. Ting, Nathan D. Shippee, Aaron L. Leppin and Patricia J. Erwin and has published in prestigious journals such as The American Journal of Medicine, JAMA Internal Medicine and Biochemical Society Transactions.

In The Last Decade

Maya Kessler

8 papers receiving 660 citations

Hit Papers

Preventing 30-Day Hospital Readmissions 2014 2026 2018 2022 2014 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maya Kessler United States 8 263 251 218 166 116 8 676
Kheng Hock Lee Singapore 15 320 1.2× 156 0.6× 150 0.7× 214 1.3× 96 0.8× 37 707
Jacqueline N. Grady United States 16 324 1.2× 337 1.3× 284 1.3× 198 1.2× 141 1.2× 30 1.0k
Mark I. Taragin United States 9 347 1.3× 214 0.9× 220 1.0× 117 0.7× 63 0.5× 26 874
Anil N. Makam United States 21 244 0.9× 243 1.0× 204 0.9× 343 2.1× 93 0.8× 53 1.1k
Erik Youngson Canada 17 153 0.6× 533 2.1× 256 1.2× 147 0.9× 75 0.6× 68 987
Stéphanie Polazzi France 14 128 0.5× 119 0.5× 152 0.7× 174 1.0× 59 0.5× 51 712
Yves Eggli Switzerland 10 216 0.8× 211 0.8× 186 0.9× 131 0.8× 77 0.7× 20 604
Grace Jenq United States 15 376 1.4× 116 0.5× 491 2.3× 91 0.5× 65 0.6× 32 929
Else Poot Netherlands 8 199 0.8× 135 0.5× 165 0.8× 72 0.4× 77 0.7× 13 527
Elizabeth C. McCullough United States 11 256 1.0× 168 0.7× 165 0.8× 78 0.5× 41 0.4× 14 568

Countries citing papers authored by Maya Kessler

Since Specialization
Citations

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

Fields of papers citing papers by Maya Kessler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maya Kessler

This figure shows the co-authorship network connecting the top 25 collaborators of Maya Kessler. A scholar is included among the top collaborators of Maya Kessler 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 Maya Kessler. Maya Kessler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
McKie, Paul M., Daryl J. Kor, David A. Cook, et al.. (2019). Computerized Advisory Decision Support for Cardiovascular Diseases in Primary Care: A Cluster Randomized Trial. The American Journal of Medicine. 133(6). 750–756.e2. 19 indexed citations
2.
MacLaughlin, Kathy L., Maya Kessler, Kavishwar B. Wagholikar, et al.. (2018). Impact of Patient Reminders on Papanicolaou Test Completion for High-Risk Patients Identified by a Clinical Decision Support System. Journal of Women s Health. 27(5). 569–574. 8 indexed citations
3.
Ravikumar, K. E., Kathy L. MacLaughlin, Maya Kessler, et al.. (2018). Improving the Accuracy of a Clinical Decision Support System for Cervical Cancer Screening and Surveillance. Applied Clinical Informatics. 9(1). 62–71. 11 indexed citations
5.
Kessler, Maya, Steve G. Peters, Dawn S. Milliner, et al.. (2017). Effect of a Novel Clinical Decision Support Tool on the Efficiency and Accuracy of Treatment Recommendations for Cholesterol Management. Applied Clinical Informatics. 26(1). 124–136. 25 indexed citations
6.
Kessler, Maya, et al.. (2017). Exploring differences in the use of the statin choice decision aid and diabetes medication choice decision aid in primary care. BMC Medical Informatics and Decision Making. 17(1). 118–118. 17 indexed citations
7.
Coyle, Beth, et al.. (2015). ABCB1 in children's brain tumours. Biochemical Society Transactions. 43(5). 1018–1022. 15 indexed citations
8.
Leppin, Aaron L., Michael R. Gionfriddo, Maya Kessler, et al.. (2014). Preventing 30-Day Hospital Readmissions. JAMA Internal Medicine. 174(7). 1095–1095. 572 indexed citations breakdown →

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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