Taylor M. Triolo

811 total citations
23 papers, 449 citations indexed

About

Taylor M. Triolo is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery. According to data from OpenAlex, Taylor M. Triolo has authored 23 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Endocrinology, Diabetes and Metabolism, 18 papers in Genetics and 15 papers in Surgery. Recurrent topics in Taylor M. Triolo's work include Diabetes and associated disorders (17 papers), Pancreatic function and diabetes (14 papers) and Diabetes Management and Research (13 papers). Taylor M. Triolo is often cited by papers focused on Diabetes and associated disorders (17 papers), Pancreatic function and diabetes (14 papers) and Diabetes Management and Research (13 papers). Taylor M. Triolo collaborates with scholars based in United States, United Kingdom and Switzerland. Taylor M. Triolo's co-authors include Jennifer M. Barker, Marian Rewers, George S. Eisenbarth, Taylor Armstrong, Liping Yu, Kristen J. Nadeau, Melanie Cree‐Green, Georgeanna J. Klingensmith, Kim McFann and Erin E. Baschal and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

In The Last Decade

Taylor M. Triolo

19 papers receiving 444 citations

Peers

Taylor M. Triolo

EDM

GENET

SURGE

IMMUN

Markus Walter Germany

A. Petrone Italy

Anna E. Long United Kingdom

Siri Fredheim Denmark

M. Strebelow Germany

Ilja Hulinsky United States

Matteo Viscardi Italy

Katelijn Decochez Belgium

E. Sabbah Finland

Diane Rottembourg Canada

Markus Walter Germany

Taylor M. Triolo

274 ×0.9

EDM

360 ×1.2

GENET

260 ×1.2

SURGE

14 ×0.3

70 ×1.5

IMMUN

Citations per year, relative to Taylor M. Triolo Taylor M. Triolo (= 1×) peers Markus Walter

Countries citing papers authored by Taylor M. Triolo

Since Specialization

Citations

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

Fields of papers citing papers by Taylor M. Triolo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Taylor M. Triolo. 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 Taylor M. Triolo. The network helps show where Taylor M. Triolo may publish in the future.

Co-authorship network of co-authors of Taylor M. Triolo

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

All Works

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20 of 20 papers shown

Ferrat, Lauric, Andrea K. Steck, Hemang Parikh, et al.. (2025). Type 1 diabetes prediction in autoantibody-positive individuals: performance, time and money matter. Diabetologia. 68(8). 1709–1720.

Steck, Andrea K., Hemang Parikh, Taylor M. Triolo, et al.. (2025). Genetic Risk and Transition Through Preclinical Stages of Type 1 Diabetes. The Journal of Clinical Endocrinology & Metabolism. 111(2). e493–e499.

Alonso, G. Todd, Christina Reinauer, Rosaria Gesuita, et al.. (2024). Regional deprivation and diabetic ketoacidosis at type 1 diabetes diagnosis in children and adolescents: International comparison among 6 countries. Hormone Research in Paediatrics. 1–15. 2 indexed citations

Triolo, Taylor M., Hemang Parikh, Mustafa Tosur, et al.. (2024). Genetic Associations With C-peptide Levels Before Type 1 Diabetes Diagnosis in At-risk Relatives. The Journal of Clinical Endocrinology & Metabolism. 110(4). e1046–e1050. 4 indexed citations

Forlenza, Gregory P., et al.. (2024). Longitudinal Quality of Life and Glycemic Outcomes of Total Pancreatectomy With Islet Autotransplantation in Children With Chronic Pancreatitis Followed in a Pediatric Multidisciplinary Pancreas Clinic. Pediatric Transplantation. 28(5). e14813–e14813.

Alonso, G. Todd, Taylor M. Triolo, Halis Kaan Aktürk, et al.. (2023). Increased Technology Use Associated With Lower A1C in a Large Pediatric Clinical Population. Diabetes Care. 46(6). 1218–1222. 22 indexed citations

Mameli, Chiara, et al.. (2023). Lessons and gaps in the prediction and prevention of type 1 diabetes. Pharmacological Research. 193. 106792–106792. 11 indexed citations

Triolo, Taylor M., et al.. (2022). Stem-Cell-Derived β-Like Cells with a Functional PTPN2 Knockout Display Increased Immunogenicity. Cells. 11(23). 3845–3845. 4 indexed citations

Virostko, John, R. Cameron Craddock, Jonathan M. Williams, et al.. (2021). Development of a standardized MRI protocol for pancreas assessment in humans. PLoS ONE. 16(8). e0256029–e0256029. 11 indexed citations

10.

Triolo, Taylor M. & Melena D. Bellin. (2021). Lessons from Human Islet Transplantation Inform Stem Cell-Based Approaches in the Treatment of Diabetes. Frontiers in Endocrinology. 12. 636824–636824. 13 indexed citations

11.

Triolo, Taylor M., Laura Pyle, Liping Yu, et al.. (2021). Proinsulin:C-peptide ratio trajectories over time in relatives at increased risk of progression to type 1 diabetes. Journal of Translational Autoimmunity. 4. 100089–100089. 5 indexed citations

12.

Jacobsen, Laura M., David Cuthbertson, Emily K. Sims, et al.. (2021). 589-P: Effect of Oral Insulin (OI) on Combined Glucose and C-Peptide Endpoints in Individuals at High-Risk for Type 1 Diabetes (T1D). Diabetes. 70(Supplement_1).

13.

Riemondy, Kent, Katherine E. Santostefano, Mark A. Wallet, et al.. (2021). ENTPD3 Marks Mature Stem Cell–Derived β-Cells Formed by Self-Aggregation In Vitro. Diabetes. 70(11). 2554–2567. 37 indexed citations

14.

Triolo, Taylor M., Laura Pyle, Taylor Armstrong, et al.. (2021). Association of High-Affinity Autoantibodies With Type 1 Diabetes High-Risk HLA Haplotypes. The Journal of Clinical Endocrinology & Metabolism. 107(4). e1510–e1517. 8 indexed citations

15.

Hudish, Laura I., Andrew N. Bubak, Taylor M. Triolo, et al.. (2020). Modeling Hypoxia-Induced Neuropathies Using a Fast and Scalable Human Motor Neuron Differentiation System. Stem Cell Reports. 14(6). 1033–1043. 7 indexed citations

16.

Cree‐Green, Melanie, Taylor M. Triolo, & Kristen J. Nadeau. (2012). Etiology of Insulin Resistance in Youth with Type 2 Diabetes. Current Diabetes Reports. 13(1). 81–88. 51 indexed citations

17.

Baker, Peter R., Erin E. Baschal, P. Fain, et al.. (2011). Dominant Suppression of Addison's Disease Associated with HLA-B15. The Journal of Clinical Endocrinology & Metabolism. 96(7). 2154–2162. 9 indexed citations

18.

Baker, Peter R., Erin E. Baschal, P. Fain, et al.. (2010). Haplotype Analysis Discriminates Genetic Risk for DR3-Associated Endocrine Autoimmunity and Helps Define Extreme Risk for Addison’s Disease. The Journal of Clinical Endocrinology & Metabolism. 95(10). E263–E270. 25 indexed citations

19.

Triolo, Taylor M., et al.. (2009). Diabetic Subjects Diagnosed Through the Diabetes Prevention Trial–Type 1 (DPT-1) Are Often Asymptomatic With Normal A1C at Diabetes Onset. Diabetes Care. 32(5). 769–773. 39 indexed citations

20.

Barker, Jennifer M., Taylor M. Triolo, Theresa A. Aly, et al.. (2008). Two Single Nucleotide Polymorphisms Identify the Highest-Risk Diabetes HLA Genotype. Diabetes. 57(11). 3152–3155. 46 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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