Brian J. Wells

3.7k total citations
98 papers, 2.6k citations indexed

About

Brian J. Wells is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Brian J. Wells has authored 98 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Endocrinology, Diabetes and Metabolism, 24 papers in Cardiology and Cardiovascular Medicine and 13 papers in Surgery. Recurrent topics in Brian J. Wells's work include Diabetes Management and Research (16 papers), Diabetes Treatment and Management (13 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers). Brian J. Wells is often cited by papers focused on Diabetes Management and Research (16 papers), Diabetes Treatment and Management (13 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers). Brian J. Wells collaborates with scholars based in United States, Canada and Chile. Brian J. Wells's co-authors include Michael W. Kattan, Arch G. Mainous, Kevin Chagin, Amy S. Nowacki, Kevin M. Pantalone, Robert S. Zimmerman, Marcia L. Taylor, Changhong Yu, Charles J. Everett and Kristin M. Lenoir and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Brian J. Wells

92 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian J. Wells United States 27 606 539 451 334 322 98 2.6k
Kazuhiko Ohe Japan 29 373 0.6× 473 0.9× 327 0.7× 250 0.7× 330 1.0× 196 2.8k
Hun‐Sung Kim South Korea 24 709 1.2× 376 0.7× 324 0.7× 278 0.8× 158 0.5× 141 2.3k
Alex Milinovich United States 24 438 0.7× 312 0.6× 222 0.5× 268 0.8× 197 0.6× 79 2.0k
Arlene M. Gallagher United Kingdom 19 420 0.7× 410 0.8× 851 1.9× 727 2.2× 326 1.0× 40 3.4k
Alexander Turchin United States 32 1.1k 1.8× 908 1.7× 809 1.8× 366 1.1× 444 1.4× 119 4.0k
Edward Chia‐Cheng Lai Taiwan 28 514 0.8× 408 0.8× 411 0.9× 573 1.7× 294 0.9× 162 3.1k
Ingrid Glurich United States 29 485 0.8× 370 0.7× 327 0.7× 208 0.6× 597 1.9× 88 3.0k
Claus Dethlefsen Denmark 26 242 0.4× 366 0.7× 513 1.1× 386 1.2× 197 0.6× 84 2.3k
Jinwei Wang China 28 288 0.5× 342 0.6× 374 0.8× 322 1.0× 329 1.0× 158 2.8k
Suzette J. Bielinski United States 33 308 0.5× 358 0.7× 844 1.9× 440 1.3× 844 2.6× 154 3.7k

Countries citing papers authored by Brian J. Wells

Since Specialization
Citations

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

Fields of papers citing papers by Brian J. Wells

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian J. Wells. 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 Brian J. Wells. The network helps show where Brian J. Wells may publish in the future.

Co-authorship network of co-authors of Brian J. Wells

This figure shows the co-authorship network connecting the top 25 collaborators of Brian J. Wells. A scholar is included among the top collaborators of Brian J. Wells 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 Brian J. Wells. Brian J. Wells 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
1.
Jaeger, Byron C., Marc Kowalkowski, Jeff D. Williamson, et al.. (2025). External validation of a proprietary risk model for 1-year mortality in community-dwelling adults aged 65 years or older. Journal of the American Medical Informatics Association. 32(7). 1110–1119.
2.
Duda, Stephany N., et al.. (2025). Overcoming data challenges through enriched validation and targeted sampling to measure whole-person health in electronic health records. Journal of Biomedical Informatics. 170. 104904–104904. 2 indexed citations
3.
Jaeger, Byron C., et al.. (2025). Development and Validation of a Diabetes Risk Prediction Model With Individualized Preventive Intervention Effects. The Journal of Clinical Endocrinology & Metabolism. 110(12). e4023–e4029.
4.
Stafford, Jeanette M., et al.. (2025). Prediabetes Subgroups, Type 2 Diabetes Risk, and Differential Effects of Preventive Interventions. The Journal of Clinical Endocrinology & Metabolism. 111(1). e41–e48. 1 indexed citations
5.
Wells, Brian J., et al.. (2024). Technical Challenges in Building Cross Reality Applications for Analyzing 3D Medical Images. 152–155. 1 indexed citations
6.
Khanna, Ashish K., Nathaniel S. O’Connell, Sanchit Ahuja, et al.. (2023). Incidence, severity and detection of blood pressure and heart rate perturbations in postoperative ward patients after noncardiac surgery. Journal of Clinical Anesthesia. 89. 111159–111159. 9 indexed citations
7.
Dressler, Emily V., Randi E. Foraker, Brian J. Wells, et al.. (2023). Endometrial cancer survivors' perceptions of their cardiovascular disease risk (results from WF-1804CD AH-HA). Gynecologic Oncology. 174. 208–212. 3 indexed citations
8.
Wells, Brian J., et al.. (2022). Using Electronic Health Records for the Learning Health System: Creation of a Diabetes Research Registry. JMIR Medical Informatics. 10(9). e39746–e39746. 2 indexed citations
9.
Clark, Brendan, et al.. (2022). Low Peak Inspiratory Flow Rates are Common Among COPD Inpatients and are Associated with Increased Healthcare Resource Utilization: A Retrospective Cohort Study. International Journal of COPD. Volume 17. 1483–1494. 8 indexed citations
10.
Wells, Brian J. & Laura L. Avery. (2022). Imaging Penile and Scrotal Trauma. Magnetic Resonance Imaging Clinics of North America. 30(3). 455–464.
11.
Lenoir, Kristin M., Joanne C. Sandberg, David P. Miller, & Brian J. Wells. (2022). Patient Perspectives on a Targeted Text Messaging Campaign to Encourage Screening for Diabetes: Qualitative Study. JMIR Formative Research. 7. e41011–e41011. 2 indexed citations
12.
Kirk, Julienne K., et al.. (2021). Mental Health and Benzodiazepine Use Among Patients on Chronic Opioid Therapy. The Journal of the American Board of Family Medicine. 34(1). 99–104. 2 indexed citations
13.
Weaver, Kathryn E., Heidi D. Klepin, Brian J. Wells, et al.. (2020). Cardiovascular Assessment Tool for Breast Cancer Survivors and Oncology Providers: Usability Study. JMIR Cancer. 7(1). e18396–e18396. 6 indexed citations
14.
Brooks, Amber K, David P. Miller, Jason Fanning, et al.. (2019). A Pain eHealth Platform for Engaging Obese, Older Adults with Chronic Low Back Pain in Nonpharmacological Pain Treatments: Protocol for a Pilot Feasibility Study. JMIR Research Protocols. 9(1). e14525–e14525. 4 indexed citations
15.
Wells, Brian J., Kristin M. Lenoir, Franck Diaz‐Garelli, et al.. (2018). Predicting Current Glycated Hemoglobin Values in Adults: Development of an Algorithm From the Electronic Health Record. JMIR Medical Informatics. 6(4). e10780–e10780. 13 indexed citations
16.
Wells, Brian J., Michael W. Kattan, Gregory S. Cooper, Leila W. Jackson, & Siran M. Koroukian. (2014). ColoRectal Cancer Predicted Risk Online (CRC-PRO) Calculator Using Data from the Multi-Ethnic Cohort Study. The Journal of the American Board of Family Medicine. 27(1). 42–55. 46 indexed citations
17.
Wells, Brian J., Kevin Chagin, Liang Li, et al.. (2014). Using the landmark method for creating prediction models in large datasets derived from electronic health records. Health Care Management Science. 18(1). 86–92. 11 indexed citations
18.
Choi, Ickwon, Brian J. Wells, Changhong Yu, & Michael W. Kattan. (2011). An empirical approach to model selection through validation for censored survival data. Journal of Biomedical Informatics. 44(4). 595–606. 34 indexed citations
19.
Mainous, Arch G., et al.. (2005). Cholesterol, transferrin saturation, and the development of dementia and Alzheimer's disease: results from an 18-year population-based cohort.. PubMed. 37(1). 36–42. 42 indexed citations
20.
King, Dana E. & Brian J. Wells. (2003). End-of-Life Issues and Spiritual Histories. Southern Medical Journal. 96(4). 391–393. 13 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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