Marissa Town

713 total citations
8 papers, 225 citations indexed

About

Marissa Town is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery. According to data from OpenAlex, Marissa Town has authored 8 papers receiving a total of 225 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Genetics and 3 papers in Surgery. Recurrent topics in Marissa Town's work include Diabetes Management and Research (8 papers), Diabetes and associated disorders (5 papers) and Diabetes Management and Education (3 papers). Marissa Town is often cited by papers focused on Diabetes Management and Research (8 papers), Diabetes and associated disorders (5 papers) and Diabetes Management and Education (3 papers). Marissa Town collaborates with scholars based in United States, Australia and United Kingdom. Marissa Town's co-authors include Laya Ekhlaspour, Bruce A. Buckingham, Laurel H. Messer, David M. Maahs, Gregory P. Forlenza, R. Paul Wadwa, Daniel R. Cherñavvsky, Marc D. Breton, Mark D. DeBoer and Dan Raghinaru and has published in prestigious journals such as Diabetes, Diabetic Medicine and Diabetes Technology & Therapeutics.

In The Last Decade

Marissa Town

8 papers receiving 217 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marissa Town United States 6 207 127 124 27 14 8 225
Nicola Trevelyan United Kingdom 9 332 1.6× 208 1.6× 208 1.7× 44 1.6× 20 1.4× 16 357
Ryan Bailey United States 9 342 1.7× 208 1.6× 209 1.7× 22 0.8× 8 0.6× 28 390
Tamara S. Hannon United States 8 133 0.6× 87 0.7× 108 0.9× 25 0.9× 18 1.3× 13 220
J. Ahern United States 7 363 1.8× 225 1.8× 243 2.0× 24 0.9× 12 0.9× 9 381
Kathryn Obrynba United States 8 159 0.8× 144 1.1× 68 0.5× 25 0.9× 30 2.1× 12 253
Frida Sundberg Sweden 10 269 1.3× 163 1.3× 144 1.2× 34 1.3× 27 1.9× 16 311
Claire T. Boyle United States 6 248 1.2× 202 1.6× 146 1.2× 17 0.6× 34 2.4× 8 328
Katherine Bergamo United States 2 250 1.2× 171 1.3× 155 1.3× 24 0.9× 8 0.6× 3 270
Thomas J. Mouse United States 2 252 1.2× 174 1.4× 155 1.3× 24 0.9× 8 0.6× 3 271
Barbara Semlitsch Austria 7 306 1.5× 93 0.7× 107 0.9× 25 0.9× 6 0.4× 13 336

Countries citing papers authored by Marissa Town

Since Specialization
Citations

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

Fields of papers citing papers by Marissa Town

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marissa Town

This figure shows the co-authorship network connecting the top 25 collaborators of Marissa Town. A scholar is included among the top collaborators of Marissa Town 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 Marissa Town. Marissa Town 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.
Holt, Richard I. G., Shideh Majidi, Marissa Town, et al.. (2023). The psychosocial burdens of living with diabetes. Diabetic Medicine. 41(3). e15219–e15219. 12 indexed citations
2.
Ekhlaspour, Laya, Marissa Town, Dan Raghinaru, et al.. (2022). Glycemic Outcomes in Baseline Hemoglobin A1C Subgroups in the International Diabetes Closed-Loop Trial. Diabetes Technology & Therapeutics. 24(8). 588–591. 28 indexed citations
3.
Olinder, Anna Lindholm, Stephen Greene, Anne Haugstvedt, et al.. (2022). ISPAD Clinical Practice Consensus Guidelines 2022: Diabetes education in children and adolescents. Pediatric Diabetes. 23(8). 1229–1242. 41 indexed citations
4.
Lal, Rayhan, Michael J. Haller, Korey K. Hood, et al.. (2020). Primary Care Providers in California and Florida Report Low Confidence in Providing Type 1 Diabetes Care. Clinical Diabetes. 38(2). 159–165. 13 indexed citations
5.
Ekhlaspour, Laya, Gregory P. Forlenza, Daniel R. Cherñavvsky, et al.. (2019). Closed loop control in adolescents and children during winter sports: Use of the Tandem Control‐IQ AP system. Pediatric Diabetes. 20(6). 759–768. 52 indexed citations
6.
Forlenza, Gregory P., Laya Ekhlaspour, Marc D. Breton, et al.. (2019). Successful At-Home Use of the Tandem Control-IQ Artificial Pancreas System in Young Children During a Randomized Controlled Trial. Diabetes Technology & Therapeutics. 21(4). 159–169. 73 indexed citations
7.
Baer, L., Angelina Bernier, Marina Basina, et al.. (2019). 338-OR: Leveraging the Project ECHO Model for Type 1 Diabetes (T1D) in California and Florida: Democratizing Knowledge in Underserved T1D Communities. Diabetes. 68(Supplement_1). 4 indexed citations
8.
Walker, Ashby F., Michael J. Haller, Rayhan Lal, et al.. (2019). 1265-P: The Paradox of Care Delivery for Type 1 Diabetes in Primary Care Settings: A Call for Interventions to Reduce Health Disparities. Diabetes. 68(Supplement_1). 2 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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