John S. Preisser

11.2k total citations
295 papers, 8.3k citations indexed

About

John S. Preisser is a scholar working on Statistics and Probability, Periodontics and General Health Professions. According to data from OpenAlex, John S. Preisser has authored 295 papers receiving a total of 8.3k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Statistics and Probability, 61 papers in Periodontics and 53 papers in General Health Professions. Recurrent topics in John S. Preisser's work include Statistical Methods and Bayesian Inference (63 papers), Dental Health and Care Utilization (47 papers) and Oral microbiology and periodontitis research (36 papers). John S. Preisser is often cited by papers focused on Statistical Methods and Bayesian Inference (63 papers), Dental Health and Care Utilization (47 papers) and Oral microbiology and periodontitis research (36 papers). John S. Preisser collaborates with scholars based in United States, United Kingdom and South Africa. John S. Preisser's co-authors include Thomas A. Arcury, Wilbert M. Gesler, Sheryl Zimmerman, Philip D. Sloane, Christopher S. Williams, Jill E. Sherman, John Spencer, Steven Offenbacher, Jamie Perin and James M. Powers and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

John S. Preisser

277 papers receiving 8.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John S. Preisser United States	48	2.0k	1.3k	1.1k	912	819	295	8.3k
James J. Schlesselman United States	35	1.6k 0.8×	360 0.3×	791 0.7×	2.3k 2.6×	784 1.0×	94	16.1k
Charles Poole United States	55	2.5k 1.2×	402 0.3×	904 0.8×	3.2k 3.5×	925 1.1×	190	20.0k
Diana Elbourne United Kingdom	55	2.5k 1.2×	318 0.2×	732 0.7×	3.5k 3.8×	1.3k 1.6×	213	22.1k
Yu‐Kang Tu Taiwan	56	525 0.3×	1.5k 1.2×	276 0.3×	1.1k 1.2×	588 0.7×	447	12.4k
Diana R Elbourne United Kingdom	15	1.8k 0.9×	183 0.1×	708 0.7×	2.1k 2.3×	1.1k 1.4×	23	10.6k
Mark S. Gilthorpe United Kingdom	38	698 0.3×	703 0.5×	468 0.4×	1.1k 1.2×	200 0.2×	170	6.2k
Hal Morgenstern United States	70	2.5k 1.2×	196 0.2×	751 0.7×	1.9k 2.0×	2.1k 2.6×	272	19.0k
Maria Blettner Germany	55	712 0.3×	251 0.2×	509 0.5×	1.5k 1.6×	284 0.3×	349	11.7k
Geert J. M. G. van der Heijden Netherlands	47	676 0.3×	395 0.3×	340 0.3×	596 0.7×	504 0.6×	190	9.2k
Jianwen Cai United States	41	1.0k 0.5×	149 0.1×	1.3k 1.2×	2.1k 2.3×	447 0.5×	369	9.8k

Countries citing papers authored by John S. Preisser

Since Specialization

Citations

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

Fields of papers citing papers by John S. Preisser

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John S. Preisser. 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 John S. Preisser. The network helps show where John S. Preisser may publish in the future.

Co-authorship network of co-authors of John S. Preisser

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

All Works

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20 of 20 papers shown

Toles, Mark, et al.. (2025). Preparedness for care transitions to home and acute care use of skilled nursing facility patients. BMC Geriatrics. 25(1). 166–166.

Zhang, Ying, et al.. (2024). CRTFASTGEEPWR: A SAS Macro for Power of Generalized Estimating Equations Analysis of Multi-Period Cluster Randomized Trials with Application to Stepped Wedge Designs. Journal of Statistical Software. 108(Code Snippet 1).

Shrestha, Poojan, Mariaelisa Graff, Yu Gu, et al.. (2024). Multiancestry Genome-Wide Association Study of Early Childhood Caries. Journal of Dental Research. 104(3). 280–289. 2 indexed citations

Preisser, John S., et al.. (2023). GEEMAEE: A SAS macro for the analysis of correlated outcomes based on GEE and finite-sample adjustments with application to cluster randomized trials. Computer Methods and Programs in Biomedicine. 230. 107362–107362. 5 indexed citations

Li, Chengwen, et al.. (2023). A bivariate zero-inflated negative binomial model and its applications to biomedical settings. Statistical Methods in Medical Research. 32(7). 1300–1317. 4 indexed citations

Simancas‐Pallares, Miguel, William F. Vann, Andréa G. Ferreira Zandoná, et al.. (2021). Children’s oral health‐related behaviours and early childhood caries: A latent class analysis. Community Dentistry And Oral Epidemiology. 50(3). 147–155. 11 indexed citations

Divaris, Kimon, Gary D. Slade, Andréa G. Ferreira Zandoná, et al.. (2020). Cohort Profile: ZOE 2.0—A Community-Based Genetic Epidemiologic Study of Early Childhood Oral Health. International Journal of Environmental Research and Public Health. 17(21). 8056–8056. 17 indexed citations

Weintraub, Jane A., Sheryl Zimmerman, Kimberly Ward, et al.. (2018). Improving Nursing Home Residents' Oral Hygiene: Results of a Cluster Randomized Intervention Trial. Journal of the American Medical Directors Association. 19(12). 1086–1091. 35 indexed citations

Soini, Helena A., Miloš V. Novotný, George J. Eckert, et al.. (2015). A Potential Biofilm Metabolite Signature for Caries Activity - A Pilot Clinical Study. PMC. 3 indexed citations

10.

Reboussin, Beth A., Eun‐Young Song, Mark Wolfson, & John S. Preisser. (2013). Sample size estimation for alternating logistic regressions analysis of multilevel randomized community trials of under-age drinking. Quality Engineering. 58(3). 199–202. 1 indexed citations

11.

Qaqish, Bahjat F., Richard C. Zink, & John S. Preisser. (2012). Orthogonalized Residuals for Estimation of Marginally Specified Association Parameters in Multivariate Binary Data. Scandinavian Journal of Statistics. 39(3). 515–527. 7 indexed citations

12.

Corazzini, Kirsten, Eleanor S. McConnell, Ruth A. Anderson, et al.. (2010). The importance of organizational climate to training needs and outcomes in long-term care. 11(2). 109–121. 7 indexed citations

13.

Fletcher, Susan, Sheryl Zimmerman, John S. Preisser, et al.. (2010). Implementation fidelity of a standardized Dementia Care training program across multiple trainers and settings. 11(1). 51–60. 4 indexed citations

14.

Preisser, John S. & Thomas A. Arcury. (2005). A Two-Stage Nonparametric Sample Survey Approach for Testing the Association of Degree of Rurality with Health Services Utilization. Journal of Official Statistics. 21(1). 39. 1 indexed citations

15.

Zimmerman, Sheryl, Philip D. Sloane, Christopher S. Williams, et al.. (2005). Dementia Care and Quality of Life in Assisted Living and Nursing Homes. The Gerontologist. 45(suppl_1). 133–146. 189 indexed citations

16.

Arcury, Thomas A., et al.. (2002). The Incidence of Green Tobacco Sickness Among Latino Farmworkers. Journal of Occupational and Environmental Medicine. 44(3). 225–226.

17.

Quandt, Sara A., John S. Preisser, & Thomas A. Arcury. (2002). Mobility Patterns of Migrant Farmworkers in North Carolina: Implications for Occupational Health Research and Policy. Human Organization. 61(1). 21–29. 27 indexed citations

18.

Preisser, John S. & Bahjat F. Qaqish. (1999). Robust Regression for Clustered Data with Application to Binary Responses. Biometrics. 55(2). 574–579. 54 indexed citations

19.

Moran, William P., James L. Wofford, John S. Preisser, et al.. (1997). Reducing Acute Care Using a Community Care Coordination Network.. Europe PMC (PubMed Central). 878–878. 1 indexed citations

20.

Heller, H., et al.. (1995). The HART Programme - A Quadrilateral Cooperative Research Effort. elib (German Aerospace Center). 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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