Clara Mosquera-Lopez

967 total citations
33 papers, 634 citations indexed

About

Clara Mosquera-Lopez is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery. According to data from OpenAlex, Clara Mosquera-Lopez has authored 33 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Endocrinology, Diabetes and Metabolism, 9 papers in Genetics and 8 papers in Surgery. Recurrent topics in Clara Mosquera-Lopez's work include Diabetes Management and Research (14 papers), Diabetes and associated disorders (9 papers) and Pancreatic function and diabetes (8 papers). Clara Mosquera-Lopez is often cited by papers focused on Diabetes Management and Research (14 papers), Diabetes and associated disorders (9 papers) and Pancreatic function and diabetes (8 papers). Clara Mosquera-Lopez collaborates with scholars based in United States, Colombia and Canada. Clara Mosquera-Lopez's co-authors include Peter G. Jacobs, Sos С. Agaian, Nichole S. Tyler, Jessica R. Castle, Ian M. Thompson, Robert H. Dodier, Joseph El Youssef, Leah M. Wilson, Deborah Branigan and Virginia Gabo and has published in prestigious journals such as Diabetes Care, Diabetes and Biosensors and Bioelectronics.

In The Last Decade

Clara Mosquera-Lopez

33 papers receiving 621 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Clara Mosquera-Lopez United States 16 246 181 120 107 106 33 634
Giacomo Cappon Italy 14 617 2.5× 88 0.5× 348 2.9× 20 0.2× 294 2.8× 50 1.1k
Nuwan D. Nanayakkara Sri Lanka 12 314 1.3× 21 0.1× 228 1.9× 79 0.7× 33 0.3× 44 601
Eşref Oğuz Güven Türkiye 8 43 0.2× 103 0.6× 125 1.0× 75 0.7× 7 0.1× 23 449
Mohammad Reza Askari United States 13 145 0.6× 37 0.2× 72 0.6× 11 0.1× 39 0.4× 34 380
Vasileios C. Pezoulas Greece 13 17 0.1× 161 0.9× 80 0.7× 33 0.3× 38 0.4× 71 968
Jasjit S. Suri United States 21 69 0.3× 412 2.3× 60 0.5× 95 0.9× 11 0.1× 37 1.3k
Benoît Magnin France 12 13 0.1× 88 0.5× 91 0.8× 162 1.5× 87 0.8× 25 912
Sam Friedman United States 15 28 0.1× 52 0.3× 30 0.3× 39 0.4× 93 0.9× 41 783
N. Pallikarakis Greece 22 56 0.2× 158 0.9× 66 0.6× 57 0.5× 27 0.3× 91 1.3k
Jinlian Ma China 7 181 0.7× 296 1.6× 30 0.3× 63 0.6× 7 0.1× 16 524

Countries citing papers authored by Clara Mosquera-Lopez

Since Specialization
Citations

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

Fields of papers citing papers by Clara Mosquera-Lopez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Clara Mosquera-Lopez. 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 Clara Mosquera-Lopez. The network helps show where Clara Mosquera-Lopez may publish in the future.

Co-authorship network of co-authors of Clara Mosquera-Lopez

This figure shows the co-authorship network connecting the top 25 collaborators of Clara Mosquera-Lopez. A scholar is included among the top collaborators of Clara Mosquera-Lopez 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 Clara Mosquera-Lopez. Clara Mosquera-Lopez 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.
Mosquera-Lopez, Clara, Peter G. Jacobs, Katrina Ramsey, et al.. (2025). Evaluation of a Prediction-Based Bedtime Intervention in Reducing Nocturnal Low Glucose in Adults With Type 1 Diabetes: The DailyDose Bedtime Smart Snack Crossover Study. Diabetes Care. 48(10). 1766–1773. 1 indexed citations
2.
Mosquera-Lopez, Clara, et al.. (2025). Recent advancements and applications of physics-informed machine learning in biomedical research. Current Opinion in Biomedical Engineering. 35. 100612–100612. 1 indexed citations
3.
Jacobs, Peter G., Peter Schulman, Stephen B. Heitner, et al.. (2024). External evaluation of a commercial artificial intelligence-augmented digital auscultation platform in valvular heart disease detection using echocardiography as reference standard. International Journal of Cardiology. 419. 132653–132653. 2 indexed citations
4.
Mosquera-Lopez, Clara & Peter G. Jacobs. (2024). Digital twins and artificial intelligence in metabolic disease research. Trends in Endocrinology and Metabolism. 35(6). 549–557. 17 indexed citations
5.
Souza, Rodrigo Othávio de Assunção e, Fernando Osorio, Beatriz Santana Soares, et al.. (2024). A comprehensive review of non-invasive optical and microwave biosensors for glucose monitoring. Biosensors and Bioelectronics. 271. 117081–117081. 10 indexed citations
6.
Mosquera-Lopez, Clara, Leah M. Wilson, Joseph El Youssef, et al.. (2023). Enabling fully automated insulin delivery through meal detection and size estimation using Artificial Intelligence. npj Digital Medicine. 6(1). 39–39. 22 indexed citations
7.
Jacobs, Peter G., Pau Herrero, Andrea Facchinetti, et al.. (2023). Artificial Intelligence and Machine Learning for Improving Glycemic Control in Diabetes: Best Practices, Pitfalls, and Opportunities. IEEE Reviews in Biomedical Engineering. 17. 19–41. 50 indexed citations
8.
Jacobs, Peter G., Navid Resalat, Gavin Young, et al.. (2023). Integrating metabolic expenditure information from wearable fitness sensors into an AI-augmented automated insulin delivery system: a randomised clinical trial. The Lancet Digital Health. 5(9). e607–e617. 16 indexed citations
9.
Erickson, Elise N., Neta Gotlieb, Leonardo Pereira, et al.. (2023). Predicting labor onset relative to the estimated date of delivery using smart ring physiological data. npj Digital Medicine. 6(1). 153–153. 12 indexed citations
10.
Mosquera-Lopez, Clara, et al.. (2023). Modeling risk of hypoglycemia during and following physical activity in people with type 1 diabetes using explainable mixed-effects machine learning. Computers in Biology and Medicine. 155. 106670–106670. 17 indexed citations
11.
Tyler, Nichole S., Clara Mosquera-Lopez, Gavin Young, et al.. (2022). Quantifying the impact of physical activity on future glucose trends using machine learning. iScience. 25(3). 103888–103888. 26 indexed citations
12.
Castle, Jessica R., Leah M. Wilson, Nichole S. Tyler, et al.. (2022). Assessment of a Decision Support System for Adults with Type 1 Diabetes on Multiple Daily Insulin Injections. Diabetes Technology & Therapeutics. 24(12). 892–897. 17 indexed citations
13.
Mosquera-Lopez, Clara & Peter G. Jacobs. (2021). Incorporating Glucose Variability into Glucose Forecasting Accuracy Assessment Using the New Glucose Variability Impact Index and the Prediction Consistency Index: An LSTM Case Example. Journal of Diabetes Science and Technology. 16(1). 7–18. 18 indexed citations
14.
Jacobs, Peter G., et al.. (2021). An AI-Powered Tool for Automatic Heart Sound Quality Assessment and Segmentation. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 3065–3074. 2 indexed citations
15.
Hildebrand, Andrea, et al.. (2021). Comparing fall detection methods in people with multiple sclerosis: A prospective observational cohort study. Multiple Sclerosis and Related Disorders. 56. 103270–103270. 6 indexed citations
16.
Mosquera-Lopez, Clara, Robert H. Dodier, Nichole S. Tyler, et al.. (2020). Predicting and Preventing Nocturnal Hypoglycemia in Type 1 Diabetes Using Big Data Analytics and Decision Theoretic Analysis. Diabetes Technology & Therapeutics. 22(11). 801–811. 30 indexed citations
17.
Tyler, Nichole S., Clara Mosquera-Lopez, Leah M. Wilson, et al.. (2020). An artificial intelligence decision support system for the management of type 1 diabetes. Nature Metabolism. 2(7). 612–619. 97 indexed citations
18.
Mosquera-Lopez, Clara, Eric A. Wan, Joseph Leitschuh, et al.. (2020). Automated Detection of Real-World Falls: Modeled From People With Multiple Sclerosis. IEEE Journal of Biomedical and Health Informatics. 25(6). 1975–1984. 26 indexed citations
19.
20.
Mosquera-Lopez, Clara, et al.. (2014). Computer-Aided Prostate Cancer Diagnosis From Digitized Histopathology: A Review on Texture-Based Systems. IEEE Reviews in Biomedical Engineering. 8. 98–113. 86 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