Peter Leese

1.1k total citations
6 papers, 41 citations indexed

About

Peter Leese is a scholar working on Epidemiology, Artificial Intelligence and Surgery. According to data from OpenAlex, Peter Leese has authored 6 papers receiving a total of 41 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Epidemiology, 3 papers in Artificial Intelligence and 1 paper in Surgery. Recurrent topics in Peter Leese's work include Machine Learning in Healthcare (3 papers), Chronic Disease Management Strategies (2 papers) and Obesity, Physical Activity, Diet (1 paper). Peter Leese is often cited by papers focused on Machine Learning in Healthcare (3 papers), Chronic Disease Management Strategies (2 papers) and Obesity, Physical Activity, Diet (1 paper). Peter Leese collaborates with scholars based in United States and Singapore. Peter Leese's co-authors include Eric Finkelstein, Laura Linnan, Deborah F. Tate, Richard A. Moffitt, Melissa Haendel, Emily Pfaff, Tellen D. Bennett, Julie A. McMurry, Robert Chew and Ryan McGrath and has published in prestigious journals such as Journal of the American Medical Informatics Association, Journal of Occupational and Environmental Medicine and npj Digital Medicine.

In The Last Decade

Peter Leese

4 papers receiving 37 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peter Leese United States	3	20	11	8	6	5	6	41
Alba Marcos‐Delgado Spain	4	14 0.7×	17 1.5×	3 0.4×	5 0.8×	14 2.8×	12	66
Karlo Golubić Croatia	4	34 1.7×	6 0.5×	7 0.9×	11 1.8×	2 0.4×	12	69
Assim M. AlAbdulKader Saudi Arabia	6	7 0.3×	24 2.2×	11 1.4×	6 1.0×	5 1.0×	25	95
Aimen Ashini Libya	3	9 0.5×	8 0.7×	6 0.8×	9 1.5×		3	38
Juha Pyykkö Finland	4	11 0.6×	6 0.5×	5 0.6×	5 0.8×	1 0.2×	6	64
Samantha Field United Kingdom	3	33 1.6×	15 1.4×	3 0.4×	2 0.3×	1 0.2×	4	56
Tania Tello Peru	6	13 0.7×	11 1.0×	5 0.6×	3 0.5×	23 4.6×	15	72
Armando Almeida Portugal	4	24 1.2×	5 0.5×	4 0.5×	4 0.7×	3 0.6×	38	65
Yefang Feng China	5	17 0.8×	11 1.0×	3 0.4×	4 0.7×	4 0.8×	6	54
Andrea Loizeau Switzerland	6	27 1.4×	33 3.0×	2 0.3×	3 0.5×	4 0.8×	13	68

Countries citing papers authored by Peter Leese

Since Specialization

Citations

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

Fields of papers citing papers by Peter Leese

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Leese

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

All Works

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6 of 6 papers shown

1.

Buse, John B., Klara R. Klein, Lawrence T. Kim, et al.. (2025). Investigating the association between incretin-based therapies and thyroid cancer incidence among US Medicare beneficiaries with diabetes. BMJ Open Diabetes Research & Care. 13(5). e005090–e005090.

2.

Powers, John, Abhishek Bhatia, Charisse Madlock‐Brown, et al.. (2025). Identifying commonalities and differences between EHR representations of PASC and ME/CFS in the RECOVER EHR cohort. Communications Medicine. 5(1). 109–109. 1 indexed citations

3.

Powers, John, et al.. (2025). Recovering missing electronic health record mortality data with a machine learning-enhanced data linkage process. Journal of the American Medical Informatics Association. 32(6). 1061–1065.

4.

O’Neil, Shawn T., Charisse Madlock‐Brown, Kenneth J. Wilkins, et al.. (2024). Finding Long-COVID: temporal topic modeling of electronic health records from the N3C and RECOVER programs. npj Digital Medicine. 7(1). 296–296. 2 indexed citations

5.

Leese, Peter, Adit Anand, Andrew T. Girvin, et al.. (2023). Clinical encounter heterogeneity and methods for resolving in networked EHR data: a study from N3C and RECOVER programs. Journal of the American Medical Informatics Association. 30(6). 1125–1136. 5 indexed citations

6.

Finkelstein, Eric, Laura Linnan, Deborah F. Tate, & Peter Leese. (2009). A Longitudinal Study on the Relationship Between Weight Loss, Medical Expenditures, and Absenteeism Among Overweight Employees in the WAY to Health Study. Journal of Occupational and Environmental Medicine. 51(12). 1367–1373. 33 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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