Joel Bobula

670 total citations
23 papers, 549 citations indexed

About

Joel Bobula is a scholar working on Endocrinology, Diabetes and Metabolism, Economics and Econometrics and Pathology and Forensic Medicine. According to data from OpenAlex, Joel Bobula has authored 23 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Endocrinology, Diabetes and Metabolism, 8 papers in Economics and Econometrics and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Joel Bobula's work include Menopause: Health Impacts and Treatments (8 papers), Estrogen and related hormone effects (6 papers) and Health Systems, Economic Evaluations, Quality of Life (6 papers). Joel Bobula is often cited by papers focused on Menopause: Health Impacts and Treatments (8 papers), Estrogen and related hormone effects (6 papers) and Health Systems, Economic Evaluations, Quality of Life (6 papers). Joel Bobula collaborates with scholars based in United States, United Kingdom and Switzerland. Joel Bobula's co-authors include Sebastián Mirkin, Gloria Bachmann, Holly Yu, Xuemei Luo, Andrew G. Bushmakin, Marco DiBonaventura, James H. Pickar, Sophie Olivier, Wulf H. Utian and Stephen F. Jencks and has published in prestigious journals such as Journal of the American Geriatrics Society, Medical Care and Osteoarthritis and Cartilage.

In The Last Decade

Joel Bobula

23 papers receiving 527 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joel Bobula United States 12 247 181 139 104 97 23 549
Christine Ireland United States 13 180 0.7× 87 0.5× 52 0.4× 43 0.4× 68 0.7× 22 745
Dongshan Zhu China 15 322 1.3× 130 0.7× 52 0.4× 49 0.5× 39 0.4× 58 715
Marilyn M. Barbour United States 14 183 0.7× 89 0.5× 27 0.2× 51 0.5× 29 0.3× 27 534
Sonali Shah United States 7 150 0.6× 53 0.3× 27 0.2× 72 0.7× 107 1.1× 14 757
Gail Husson United States 12 126 0.5× 193 1.1× 24 0.2× 78 0.8× 154 1.6× 15 747
Pragya Gartoulla Australia 13 363 1.5× 200 1.1× 8 0.1× 165 1.6× 84 0.9× 27 655
Riitta Luoto Finland 11 188 0.8× 117 0.6× 17 0.1× 75 0.7× 103 1.1× 18 640
Lewis H. Kuller United States 9 383 1.6× 287 1.6× 18 0.1× 103 1.0× 58 0.6× 12 737
Brent Diekmann United States 9 163 0.7× 135 0.7× 15 0.1× 67 0.6× 176 1.8× 9 532
Nicholas J. Christian United States 13 95 0.4× 28 0.2× 21 0.2× 74 0.7× 28 0.3× 17 1.1k

Countries citing papers authored by Joel Bobula

Since Specialization
Citations

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

Fields of papers citing papers by Joel Bobula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joel Bobula

This figure shows the co-authorship network connecting the top 25 collaborators of Joel Bobula. A scholar is included among the top collaborators of Joel Bobula 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 Joel Bobula. Joel Bobula 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
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Pinkerton, JoAnn V., et al.. (2017). Hot flush frequency and severity at baseline as predictors of time to transient and stable treatment success: pooled analysis of two CE/BZA studies. Menopause The Journal of The North American Menopause Society. 24(12). 1378–1385. 1 indexed citations
4.
Handels, Ron, Lisa Vermunt, Sietske A.M. Sikkes, et al.. (2017). [O5–03–01]: PREDICTING THE HEALTH ECONOMIC IMPACT OF EARLY TREATMENT IN PRE‐DEMENTIA ALZHEIMER's DISEASE. Alzheimer s & Dementia. 13(7S_Part_30). 1 indexed citations
5.
Pinkerton, JoAnn V., et al.. (2017). Time to first occurrence of breast pain and vaginal bleeding in phase 3 trials of CE/BZA. Menopause The Journal of The North American Menopause Society. 24(12). 1372–1377. 2 indexed citations
6.
Pasquale, Margaret K., Yihua Xu, Christine L. Baker, et al.. (2016). COPD exacerbations associated with the modified Medical Research Council scale and COPD assessment test among Humana Medicare members. International Journal of COPD. 11. 111–111. 10 indexed citations
7.
Lacey, Loretto, Joel Bobula, Timothy Niecko, & Christopher Leibman. (2016). Informal Care Time and Cost in a Large Clinical Trial Sample of Patients with Mild to Moderate Alzheimer’s Disease: Determinants and Level of Change Observed. Neurology and Therapy. 6(1). 11–23. 7 indexed citations
8.
Rüdell, K., Joel Bobula, Jack Mardekian, et al.. (2015). Comparing Burden of Illness of Tophaceous With Non-Tophaceous Gout Patients Using A Large Us Electronic Health Records Database. Value in Health. 18(3). A158–A158. 2 indexed citations
9.
DiBonaventura, Marco, et al.. (2015). The Association Between Vulvovaginal Atrophy Symptoms and Quality of Life Among Postmenopausal Women in the United States and Western Europe. Journal of Women s Health. 24(9). 713–722. 87 indexed citations
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Guo, Shien, et al.. (2014). Evaluating Disease-Modifying Agents: A Simulation Framework for Alzheimer’s Disease. PharmacoEconomics. 32(11). 1129–1139. 19 indexed citations
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Gillespie, Paddy, Eamon O’Shea, John Cullinan, et al.. (2014). Longitudinal costs of caring for people with Alzheimer's disease. International Psychogeriatrics. 27(5). 847–856. 23 indexed citations
13.
Suehs, Brandon T., Sonali Shah, José Alvir, et al.. (2014). Household Members of Persons with A lzheimer's Disease: Health Conditions, Healthcare Resource Use, and Healthcare Costs. Journal of the American Geriatrics Society. 62(3). 435–441. 34 indexed citations
14.
Ellis, Kathryn A., Jo Robertson, Lisa Mucha, et al.. (2011). P2‐401: Dependence and resource utilization in MCI and Alzheimer's patients participating in the AIBL study. Alzheimer s & Dementia. 7(4S_Part_12). 1 indexed citations
15.
Utian, Wulf H., Holly Yu, Joel Bobula, et al.. (2009). Bazedoxifene/conjugated estrogens and quality of life in postmenopausal women. Maturitas. 63(4). 329–335. 82 indexed citations
16.
Bachmann, Gloria, Joel Bobula, & Sebastián Mirkin. (2009). Effects of bazedoxifene/conjugated estrogens on quality of life in postmenopausal women with symptoms of vulvar/vaginal atrophy. Climacteric. 13(2). 132–140. 92 indexed citations
17.
Wyrwich, Kathleen W., Daniel Spratt, Margery Gass, Holly Yu, & Joel Bobula. (2008). Identifying meaningful differences in vasomotor symptoms among menopausal women. Menopause The Journal of The North American Menopause Society. 15(4). 698–705. 24 indexed citations
18.
Hill, Cheryl, Sheri Fehnel, Joel Bobula, Holly Yu, & Lori McLeod. (2007). Development and preliminary validation of the Menopause Symptoms Treatment Satisfaction Questionnaire (MS-TSQ). Menopause The Journal of The North American Menopause Society. 14(6). 1047–1055. 25 indexed citations
19.
Townsend, Raymond J., et al.. (1995). Methodological and Conduct Principles for Pharmacoeconomic Research. PharmacoEconomics. 8(2). 169–174. 66 indexed citations
20.
Jencks, Stephen F. & Joel Bobula. (1988). Does Receiving Referral and Transfer Patients Make Hospitals Expensive?. Medical Care. 26(10). 948–958. 24 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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