Jane Bulger

1.0k total citations
16 papers, 121 citations indexed

About

Jane Bulger is a scholar working on Endocrinology, Diabetes and Metabolism, Family Practice and Psychiatry and Mental health. According to data from OpenAlex, Jane Bulger has authored 16 papers receiving a total of 121 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Family Practice and 6 papers in Psychiatry and Mental health. Recurrent topics in Jane Bulger's work include Diabetes Management and Research (11 papers), Medication Adherence and Compliance (7 papers) and Diabetes Management and Education (4 papers). Jane Bulger is often cited by papers focused on Diabetes Management and Research (11 papers), Medication Adherence and Compliance (7 papers) and Diabetes Management and Education (4 papers). Jane Bulger collaborates with scholars based in United States, Brazil and Israel. Jane Bulger's co-authors include Ruth S. Weinstock, Barbara J. Anderson, Paula M. Trief, Seth C. Kalichman, Kimberly L. Drews, Diane Uschner, Linda Brooks, Brian Burke, Dongliang Wang and John P. Galassi and has published in prestigious journals such as Journal of General Internal Medicine, Diabetic Medicine and Alzheimer s & Dementia.

In The Last Decade

Jane Bulger

15 papers receiving 116 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jane Bulger United States	8	55	26	22	18	16	16	121
K.M.P. van Bastelaar Netherlands	3	238 4.3×	4 0.2×	17 0.8×	23 1.3×		4	301
Rachel N. Baek United States	2	126 2.3×	3 0.1×	17 0.8×	10 0.6×		2	153
Olukayode Abayomi Nigeria	6	12 0.2×	17 0.7×	27 1.2×	91 5.1×		17	187
Therese Anderbro Sweden	7	314 5.7×	5 0.2×	7 0.3×	21 1.2×		17	370
Emily Hamburger United States	10	245 4.5×	5 0.2×	6 0.3×	9 0.5×		18	304
Carlos Miranda Colombia	6	11 0.2×	7 0.3×	31 1.4×	16 0.9×		15	86
Andrea Benecke Germany	8	32 0.6×	2 0.1×	13 0.6×	16 0.9×		17	311
Jessica Lawton United States	4	12 0.2×	4 0.2×	3 0.1×	26 1.4×		8	307
Christopher Rayner United Kingdom	8	28 0.5×		17 0.8×	11 0.6×		18	169
Maja Drobnič Radobuljac Slovenia	7	39 0.7×		16 0.7×	40 2.2×		17	156

Countries citing papers authored by Jane Bulger

Since Specialization

Citations

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

Fields of papers citing papers by Jane Bulger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jane Bulger

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

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

Trief, Paula M., Brian Burke, Seth C. Kalichman, et al.. (2025). Brief report: Validity of self-report measures of medication adherence in young adults with youth-onset type 2 diabetes. Diabetes Research and Clinical Practice. 224. 112201–112201.

Trief, Paula M., et al.. (2025). Psychosocial predictors of diabetes self-efficacy in young adults with youth-onset type 2 diabetes. Journal of Behavioral Medicine. 48(3). 500–512. 1 indexed citations

Fonseca, Luciana Mascarenhas, Zoë Hawks, Michal Schnaider Beeri, et al.. (2025). Cognitive vulnerability to glucose fluctuations: A digital phenotype of neurodegeneration. Alzheimer s & Dementia. 21(2). e70001–e70001. 3 indexed citations

Trief, Paula M., Brian Burke, Diane Uschner, et al.. (2024). Psychosocial Factors and Glycemic Control in Young Adults With Youth-Onset Type 2 Diabetes. JAMA Network Open. 7(4). e245620–e245620. 12 indexed citations

Fonseca, Luciana Mascarenhas, Michal Schnaider Beeri, Zoë Hawks, et al.. (2024). ATN blood biomarkers are related to digital cognitive assessment in type 1 diabetes. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 16(4). e70029–e70029. 1 indexed citations

Fonseca, Luciana Mascarenhas, Michael J. Cleveland, Jane Bulger, et al.. (2024). Nocturnal hypoglycemia is associated with next day cognitive performance in adults with type 1 diabetes: Pilot data from the GluCog study. The Clinical Neuropsychologist. 38(7). 1627–1646. 2 indexed citations

Fonseca, Luciana Mascarenhas, Jane Bulger, Michael J. Cleveland, et al.. (2023). Glycemic Variability and Fluctuations in Cognitive Status in Adults With Type 1 Diabetes (GluCog): Observational Study Using Ecological Momentary Assessment of Cognition. JMIR Diabetes. 8. e39750–e39750. 12 indexed citations

Wang, O., Luciana Mascarenhas Fonseca, Michael J. Cleveland, et al.. (2023). 4 Associations Between Glycemia and Cognitive Performance in Adults with Type 1 Diabetes (T1D) using Continuous Glucose Monitoring (CGM) and Ecological Momentary Assessment (EMA). Journal of the International Neuropsychological Society. 29(s1). 792–793. 1 indexed citations

Fonseca, Luciana Mascarenhas, Pia Kivisäkk, Zoë Hawks, et al.. (2023). Plasma Alzheimer’s disease biomarkers and intraindividual cognitive variability measured by ecological momentary assessment in adults with type 1 diabetes. Alzheimer s & Dementia. 19(S15). 1 indexed citations

10.

Trief, Paula M., et al.. (2023). Psychosocial Factors Predicting Healthcare Usage in Young Adults with Youth-Onset Type 2 Diabetes: The TODAY2 iCount Observational Study. Journal of General Internal Medicine. 38(14). 3152–3161. 2 indexed citations

11.

Weinstock, Ruth S., Paula M. Trief, Brian Burke, et al.. (2023). Antihypertensive and Lipid-Lowering Medication Adherence in Young Adults With Youth-Onset Type 2 Diabetes. JAMA Network Open. 6(10). e2336964–e2336964. 10 indexed citations

12.

Trief, Paula M., Diane Uschner, Seth C. Kalichman, et al.. (2023). Psychosocial factors predict medication adherence in young adults with youth‐onset type 2 diabetes: Longitudinal results from the TODAY2 iCount study. Diabetic Medicine. 40(5). e15062–e15062. 9 indexed citations

13.

Trief, Paula M., Seth C. Kalichman, Diane Uschner, et al.. (2022). Association of psychosocial factors with medication adherence in emerging adults with youth‐onset type 2 diabetes: The i Count study. Pediatric Diabetes. 23(8). 1695–1706. 11 indexed citations

14.

Trief, Paula M., Seth C. Kalichman, Dongliang Wang, et al.. (2022). Medication adherence in young adults with youth-onset type 2 diabetes: iCount, an observational study. Diabetes Research and Clinical Practice. 184. 109216–109216. 23 indexed citations

15.

Galassi, John P., et al.. (1993). Graduate psychology students' perceptions of the scientist-practitioner model of training. Counselling Psychology Quarterly. 6(3). 201–215. 24 indexed citations

16.

Murrelle, Lenn, et al.. (1992). Computerized Mental Health Risk Appraisal for College Students: User Acceptability and Correlation with Standard Pencil-and-Paper Questionnaires. American Journal of Health Promotion. 7(2). 90–92. 9 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.

Explore authors with similar magnitude of impact