Laura E. Bocchino

617 total citations
10 papers, 169 citations indexed

About

Laura E. Bocchino is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Genetics. According to data from OpenAlex, Laura E. Bocchino has authored 10 papers receiving a total of 169 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Endocrinology, Diabetes and Metabolism, 6 papers in Surgery and 5 papers in Genetics. Recurrent topics in Laura E. Bocchino's work include Diabetes Management and Research (8 papers), Diabetes and associated disorders (5 papers) and Pancreatic function and diabetes (5 papers). Laura E. Bocchino is often cited by papers focused on Diabetes Management and Research (8 papers), Diabetes and associated disorders (5 papers) and Pancreatic function and diabetes (5 papers). Laura E. Bocchino collaborates with scholars based in United States, Luxembourg and Australia. Laura E. Bocchino's co-authors include Laura M. Jacobsen, Susan Geyer, Jay M. Sosenko, Mark A. Atkinson, Carmella Evans‐Molina, Robin Goland, John M. Wentworth, William E. Russell, Linda A. DiMeglio and David Boulware and has published in prestigious journals such as Diabetes Care, Diabetes and Diabetologia.

In The Last Decade

Laura E. Bocchino

9 papers receiving 168 citations

Peers

Laura E. Bocchino

EDM

GENET

SURGE

PHYSI

IMMUN

Thekla von dem Berge Germany

Asa K. Davis United States

Kerstin Kick Germany

Christof Klinkert Germany

Jaime Realsen United States

Berglind Jónsdóttir Sweden

Aneta Hašková Czechia

Geraldine Gallen United Kingdom

Bonnie Dumais United States

Anette-Gabriele Ziegler Germany

Thekla von dem Berge Germany

Laura E. Bocchino

191 ×1.3

EDM

138 ×1.0

GENET

149 ×1.2

SURGE

4 ×0.4

PHYSI

3 ×0.5

IMMUN

Citations per year, relative to Laura E. Bocchino Laura E. Bocchino (= 1×) peers Thekla von dem Berge

Countries citing papers authored by Laura E. Bocchino

Since Specialization

Citations

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

Fields of papers citing papers by Laura E. Bocchino

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura E. Bocchino. 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 Laura E. Bocchino. The network helps show where Laura E. Bocchino may publish in the future.

Co-authorship network of co-authors of Laura E. Bocchino

This figure shows the co-authorship network connecting the top 25 collaborators of Laura E. Bocchino. A scholar is included among the top collaborators of Laura E. Bocchino 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 Laura E. Bocchino. Laura E. Bocchino 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

Madrid‐Valero, Juan J., Julia Ware, Janet M. Allen, et al.. (2023). Sleep Quality and Quantity in Caregivers of Children with Type 1 Diabetes Using Closed-Loop Insulin Delivery or a Sensor-Augmented Pump. Pediatric Diabetes. 2023. 1–10. 1 indexed citations

Héon, Elise, Michele Melia, Laura E. Bocchino, et al.. (2023). Functional Vision in Patients With Biallelic USH2A Variants. American Journal of Ophthalmology. 260. 200–211. 1 indexed citations

Jacobsen, Laura M., Laura E. Bocchino, John W. Lum, et al.. (2022). Accuracy of Three Commercial Home-Use Hemoglobin A1c Tests. Diabetes Technology & Therapeutics. 24(11). 789–796. 4 indexed citations

Beck, Roy W., Laura E. Bocchino, John W. Lum, et al.. (2021). An Evaluation of Two Capillary Sample Collection Kits for Laboratory Measurement of HbA1c. Diabetes Technology & Therapeutics. 23(8). 537–545. 33 indexed citations

Redondo, María J., Megan Warnock, Ingrid Libman, et al.. (2021). TCF7L2 Genetic Variants Do Not Influence Insulin Sensitivity or Secretion Indices in Autoantibody-Positive Individuals at Risk for Type 1 Diabetes. Diabetes Care. 44(9). 2039–2044. 1 indexed citations

Nathan, Brandon M., María J. Redondo, Heba M. Ismail, et al.. (2021). Index60 Identifies Individuals at Appreciable Risk for Stage 3 Among an Autoantibody-Positive Population With Normal 2-Hour Glucose Levels: Implications for Current Staging Criteria of Type 1 Diabetes. Diabetes Care. 45(2). 311–318. 24 indexed citations

Vendrame, Francesco, Peter Calhoun, Laura E. Bocchino, Richard E. Pratley, & Anna Casu. (2021). Impact of bariatric surgery and weight loss medications in adults with type 1 diabetes in the T1D Exchange Clinic Registry. Journal of Diabetes and its Complications. 35(6). 107884–107884. 4 indexed citations

Redondo, María J., Brandon M. Nathan, Laura M. Jacobsen, et al.. (2021). Index60 as an additional diagnostic criterion for type 1 diabetes. Diabetologia. 64(4). 836–844. 19 indexed citations

Jacobsen, Laura M., Laura E. Bocchino, Carmella Evans‐Molina, et al.. (2019). The risk of progression to type 1 diabetes is highly variable in individuals with multiple autoantibodies following screening. Diabetologia. 63(3). 588–596. 82 indexed citations

10.

Redondo, María J., Brandon M. Nathan, Laura E. Bocchino, et al.. (2019). 84-OR: Index60 and 2-Hour Glucose Diagnostic Thresholds: Comparison of Type 1 Diabetes (T1D) Marker Profiles. Diabetes. 68(Supplement_1).

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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