Betty M. Drees

1.9k total citations
48 papers, 1.1k citations indexed

About

Betty M. Drees is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and General Health Professions. According to data from OpenAlex, Betty M. Drees has authored 48 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Public Health, Environmental and Occupational Health and 10 papers in General Health Professions. Recurrent topics in Betty M. Drees's work include Genetic Associations and Epidemiology (6 papers), Innovations in Medical Education (5 papers) and Metabolism, Diabetes, and Cancer (5 papers). Betty M. Drees is often cited by papers focused on Genetic Associations and Epidemiology (6 papers), Innovations in Medical Education (5 papers) and Metabolism, Diabetes, and Cancer (5 papers). Betty M. Drees collaborates with scholars based in United States, China and Pakistan. Betty M. Drees's co-authors include Hong‐Wen Deng, Christopher J. Papasian, Dev Maulik, Hui Jiang, Lan‐Juan Zhao, James A. Hamilton, James W. Hamilton, J.B. Rouse, Jacqueline L. Johnson and Sarah A. Taylor and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Endocrinology.

In The Last Decade

Betty M. Drees

44 papers receiving 1.1k citations

Peers

Betty M. Drees
Victor Wheeler United States
Cherie Chiang Australia
Alan O. Malabanan United States
Mario Skugor United States
Samuel J. Casella United States
Victor Wheeler United States
Betty M. Drees
Citations per year, relative to Betty M. Drees Betty M. Drees (= 1×) peers Victor Wheeler

Countries citing papers authored by Betty M. Drees

Since Specialization
Citations

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

Fields of papers citing papers by Betty M. Drees

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Betty M. Drees. 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 Betty M. Drees. The network helps show where Betty M. Drees may publish in the future.

Co-authorship network of co-authors of Betty M. Drees

This figure shows the co-authorship network connecting the top 25 collaborators of Betty M. Drees. A scholar is included among the top collaborators of Betty M. Drees 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 Betty M. Drees. Betty M. Drees 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.
Berkley‐Patton, Jannette, et al.. (2024). Food Security and Cardio-Metabolic Risk in Individuals With Metabolic Syndrome. Current Developments in Nutrition. 8. 102366–102366.
2.
Lohse, Barbara, Betty M. Drees, Lisa Bailey‐Davis, et al.. (2024). Examination of eating competence in a geo-diverse sample with metabolic syndrome. Appetite. 199. 107373–107373.
3.
Perales‐Puchalt, Jaime, et al.. (2023). A culturally and linguistically adapted text-message Diabetes Prevention Program for Latinos: Feasibility, acceptability, and preliminary effectiveness. Translational Behavioral Medicine. 14(2). 138–147. 3 indexed citations
4.
Qureshi, Nilofer, et al.. (2023). Dysregulation of Gene Expression of Key Signaling Mediators in PBMCs from People with Type 2 Diabetes Mellitus. International Journal of Molecular Sciences. 24(3). 2732–2732. 1 indexed citations
5.
Gaddis, Monica, et al.. (2023). Prevalence and Risk Factors of Major Depression in Patients with Diabetic Retinopathy in a Nationally Representative Survey. Ophthalmic Epidemiology. 30(5). 462–467. 4 indexed citations
6.
Norgard, Nicholas B., et al.. (2023). Growth Differentiation Factor 15 (GDF-15), a New Biomarker in Heart Failure Management. Current Heart Failure Reports. 20(4). 287–299. 17 indexed citations
7.
Shook, Robin P., Christie A. Befort, Catherine Siengsukon, et al.. (2023). Body metrics are associated with clinical, free-living, and self-report measures of mobility in a cohort of adults with obesity and multiple sclerosis. Multiple Sclerosis and Related Disorders. 79. 105010–105010. 4 indexed citations
8.
Drees, Betty M., et al.. (2023). Gestational Diabetes Mellitus and Metabolic Syndrome: A Review of the Associations and Recommendations. Endocrine Practice. 30(1). 78–82. 8 indexed citations
9.
Gaddis, Monica, et al.. (2020). Prevalence and Predictors of Depression in Patients with Diabetic Retinopathy in a Nationally Representative Sample. Investigative Ophthalmology & Visual Science. 61(7). 1902–1902. 1 indexed citations
10.
Li, Jian, Tie‐Lin Yang, Liang Wang, et al.. (2009). Whole Genome Distribution and Ethnic Differentiation of Copy Number Variation in Caucasian and Asian Populations. PLoS ONE. 4(11). e7958–e7958. 46 indexed citations
11.
Liu, Yong‐Jun, Xiaogang Liu, Liang Wang, et al.. (2008). Genome-wide association scans identified CTNNBL1 as a novel gene for obesity. Human Molecular Genetics. 17(12). 1803–1813. 135 indexed citations
12.
Zhao, Jian, Peng Xiao, Yan Guo, et al.. (2008). Bivariate genome linkage analysis suggests pleiotropic effects on chromosomes 20p and 3p for body fat mass and lean mass. Genetics Research. 90(3). 259–268. 5 indexed citations
13.
Xiong, Dong-Hai, Wei Wang, Yan-Fang Guo, et al.. (2007). Genetic Determination of Osteoporosis: Lessons Learned from a Large Genome-Wide Linkage Study. Human Biology. 79(6). 593–608. 6 indexed citations
14.
Wang, Liang, Yong‐Jun Liu, Peng Xiao, et al.. (2007). Chromosome 2q32 May Harbor a QTL Affecting BMD Variation at Different Skeletal Sites. Journal of Bone and Mineral Research. 22(11). 1672–1678. 6 indexed citations
15.
Zhang, Feng, Peng Xiao, Fang Yang, et al.. (2007). A whole genome linkage scan for QTLs underlying peak bone mineral density. Osteoporosis International. 19(3). 303–310. 9 indexed citations
16.
Drees, Betty M., Louise Arnold, & Harry S. Jonas. (2007). The University of Missouri-Kansas City School of Medicine: Thirty-Five Years of Experience with a Nontraditional Approach to Medical Education. Academic Medicine. 82(4). 361–369. 21 indexed citations
17.
Veldhuizen, Peter J. Van, Sarah A. Taylor, Stephen K. Williamson, & Betty M. Drees. (2000). TREATMENT OF VITAMIN D DEFICIENCY IN PATIENTS WITH METASTATIC PROSTATE CANCER MAY IMPROVE BONE PAIN AND MUSCLE STRENGTH. The Journal of Urology. 187–187. 11 indexed citations
18.
Connor, Carol S., Betty M. Drees, & James W. Hamilton. (1993). Parathyroid hormone-like peptide and parathyroid hormone are secreted from bovine parathyroid via different pathways. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1178(1). 81–86. 6 indexed citations
19.
Drees, Betty M. & James W. Hamilton. (1992). Pancreastatin and bovine parathyroid cell secretion. Bone and Mineral. 17(3). 335–346. 26 indexed citations
20.
Drees, Betty M., J.B. Rouse, Jacqueline L. Johnson, & James W. Hamilton. (1991). Bovine Parathyroid Glands Secrete a 26-kDa NTerminal Fragment of Chromogranin-A which Inhibits Parathyroid Cell Secretion*. Endocrinology. 129(6). 3381–3387. 93 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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