Ming Yeh Lee

610 total citations
10 papers, 417 citations indexed

About

Ming Yeh Lee is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery. According to data from OpenAlex, Ming Yeh Lee has authored 10 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Genetics and 6 papers in Surgery. Recurrent topics in Ming Yeh Lee's work include Diabetes Management and Research (7 papers), Diabetes and associated disorders (6 papers) and Pancreatic function and diabetes (6 papers). Ming Yeh Lee is often cited by papers focused on Diabetes Management and Research (7 papers), Diabetes and associated disorders (6 papers) and Pancreatic function and diabetes (6 papers). Ming Yeh Lee collaborates with scholars based in United States, Germany and Australia. Ming Yeh Lee's co-authors include Yongjie Wei, Shyam Sirasanagandla, Zhongju Zou, Rhea Sumpter, Beth Levine, Xiaonan Dong, Luis H. Franco, D. Wade Clapp, Álvaro F. Fernández and Helmut Hanenberg and has published in prestigious journals such as Science, Cell and Nature Medicine.

In The Last Decade

Ming Yeh Lee

9 papers receiving 410 citations

Peers

Ming Yeh Lee

MB

EPIDE

PHEOH

GENET

PARAS

Alexandre Deloire France

Doron Rosenzweig Israel

Maria G. Santagati Finland

Jizheng Chen China

Eva Hernández France

Tieqiao Wu Australia

N. Parmar India

Nicole Zimara Germany

Luhui Shen United States

Sha Zhu China

Alexandre Deloire France

Ming Yeh Lee

79 ×0.5

MB

166 ×1.1

EPIDE

130 ×1.3

PHEOH

18 ×0.3

GENET

24 ×0.4

PARAS

Citations per year, relative to Ming Yeh Lee Ming Yeh Lee (= 1×) peers Alexandre Deloire

Countries citing papers authored by Ming Yeh Lee

Since Specialization

Citations

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

Fields of papers citing papers by Ming Yeh Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming Yeh Lee. 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 Ming Yeh Lee. The network helps show where Ming Yeh Lee may publish in the future.

Co-authorship network of co-authors of Ming Yeh Lee

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

All Works

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10 of 10 papers shown

1.

Lee, Ming Yeh, et al.. (2025). Automated Insulin Delivery for Type 1 Diabetes: Present and Future. Diabetes Spectrum. 38(3). 217–227.

2.

Lee, Ming Yeh, Julie Lee, Bruce A. Buckingham, et al.. (2024). Empowering Hospitalized Patients With Diabetes: Implementation of a Hospital-wide CGM Policy With EHR-Integrated Validation for Dosing Insulin. Diabetes Care. 47(10). 1838–1845. 10 indexed citations

3.

Prahalad, Priya, David Scheinker, Manisha Desai, et al.. (2024). Equitable implementation of a precision digital health program for glucose management in individuals with newly diagnosed type 1 diabetes. Nature Medicine. 30(7). 2067–2075. 15 indexed citations

4.

Lee, Ming Yeh, Anna L. Gloyn, David M. Maahs, & Priya Prahalad. (2023). Management of Neonatal Diabetes due to a KCNJ11 Mutation with Automated Insulin Delivery System and Remote Patient Monitoring. SHILAP Revista de lepidopterología. 2023. 1–6. 3 indexed citations

5.

Scheinker, David, Andrew Ward, Korey K. Hood, et al.. (2022). Algorithm-Enabled, Personalized Glucose Management for Type 1 Diabetes at the Population Scale: Prospective Evaluation in Clinical Practice. JMIR Diabetes. 7(2). e27284–e27284. 14 indexed citations

6.

Lee, Ming Yeh, Molly L. Tanenbaum, David M. Maahs, & Priya Prahalad. (2022). Overcoming Barriers to Diabetes Technology in Youth with Type 1 Diabetes and Public Insurance: Cases and Call to Action. SHILAP Revista de lepidopterología. 2022. 1–5. 7 indexed citations

7.

Jun, Daniel, Ming Yeh Lee, Christos Vasilakis, et al.. (2021). Population‐level management of type 1 diabetes via continuous glucose monitoring and algorithm‐enabled patient prioritization: Precision health meets population health. Pediatric Diabetes. 22(7). 982–991. 23 indexed citations

8.

Sumpter, Rhea, Shyam Sirasanagandla, Álvaro F. Fernández, et al.. (2016). Fanconi Anemia Proteins Function in Mitophagy and Immunity. Cell. 165(4). 867–881. 194 indexed citations

9.

Lee, Ming Yeh, Rhea Sumpter, Zhongju Zou, et al.. (2016). Peroxisomal protein PEX 13 functions in selective autophagy. EMBO Reports. 18(1). 48–60. 33 indexed citations

10.

Chandramohanadas, Rajesh, Paul H. Davis, Daniel P. Beiting, et al.. (2009). Apicomplexan Parasites Co-Opt Host Calpains to Facilitate Their Escape from Infected Cells. Science. 324(5928). 794–797. 118 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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