Joseph S. Koopmeiners

4.5k total citations
109 papers, 2.2k citations indexed

About

Joseph S. Koopmeiners is a scholar working on Statistics and Probability, Molecular Biology and Physiology. According to data from OpenAlex, Joseph S. Koopmeiners has authored 109 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Statistics and Probability, 25 papers in Molecular Biology and 24 papers in Physiology. Recurrent topics in Joseph S. Koopmeiners's work include Statistical Methods in Clinical Trials (26 papers), Smoking Behavior and Cessation (23 papers) and Statistical Methods and Inference (14 papers). Joseph S. Koopmeiners is often cited by papers focused on Statistical Methods in Clinical Trials (26 papers), Smoking Behavior and Cessation (23 papers) and Statistical Methods and Inference (14 papers). Joseph S. Koopmeiners collaborates with scholars based in United States, Canada and Australia. Joseph S. Koopmeiners's co-authors include Janet L. Stanford, Ziding Feng, Erika M. Kwon, Elaine A. Ostrander, Claudia A. Salinas, Dorothy K. Hatsukami, Eric C. Donny, Daniel W. Lin, Brian P. Hobbs and Victoria H. Raveis and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Biochemistry.

In The Last Decade

Joseph S. Koopmeiners

106 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Joseph S. Koopmeiners United States	28	535	499	474	305	273	109	2.2k
John Anderson United Kingdom	28	524 1.0×	1.5k 3.0×	396 0.8×	143 0.5×	347 1.3×	97	3.5k
Laure El ghormli United States	23	682 1.3×	235 0.5×	329 0.7×	75 0.2×	268 1.0×	58	2.7k
Francesco Pignatti Netherlands	28	479 0.9×	612 1.2×	121 0.3×	205 0.7×	854 3.1×	102	2.8k
Esther Oomen‐de Hoop Netherlands	25	289 0.5×	523 1.0×	105 0.2×	225 0.7×	619 2.3×	124	2.0k
Thomas E. Delea United States	26	298 0.6×	529 1.1×	233 0.5×	74 0.2×	763 2.8×	136	2.4k
Nadine Houédé France	26	484 0.9×	733 1.5×	326 0.7×	89 0.3×	767 2.8×	136	2.5k
Jessica K. Paulus United States	24	678 1.3×	214 0.4×	91 0.2×	195 0.6×	547 2.0×	70	2.5k
Richard S. Ungerleider United States	18	639 1.2×	286 0.6×	152 0.3×	88 0.3×	756 2.8×	37	2.3k
Kevin A. Buhr United States	19	490 0.9×	150 0.3×	127 0.3×	72 0.2×	275 1.0×	50	3.5k
Alyson Haslam United States	18	353 0.7×	368 0.7×	98 0.2×	133 0.4×	1.2k 4.4×	117	2.3k

Countries citing papers authored by Joseph S. Koopmeiners

Since Specialization

Citations

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

Fields of papers citing papers by Joseph S. Koopmeiners

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joseph S. Koopmeiners

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph S. Koopmeiners. A scholar is included among the top collaborators of Joseph S. Koopmeiners 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 Joseph S. Koopmeiners. Joseph S. Koopmeiners 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

Murray, Thomas A., et al.. (2024). Optimal timing for an accelerated interim futility analysis incorporating real world data. Contemporary Clinical Trials. 140. 107489–107489. 1 indexed citations

Pestka, Deborah L., Michael Usher, Joseph S. Koopmeiners, et al.. (2024). Implementing Telestroke in the Inpatient Setting: Identifying Factors for Success. Stroke. 55(6). 1517–1524. 1 indexed citations

Rizvi, Rubina, Michael Usher, Matt Loth, et al.. (2024). Decreasing Opioid Addiction and Diversion Using Behavioral Economics Applied Through a Digital Engagement Solution: Protocol for a Randomized Controlled Trial. JMIR Research Protocols. 13. e52882–e52882. 2 indexed citations

Lee, Hee Yun, et al.. (2022). Evaluating Human Papillomavirus eHealth in Hmong Adolescents to Promote Vaccinations: Pilot Feasibility Study. JMIR Formative Research. 7. e38388–e38388. 4 indexed citations

Tessier, Katelyn, Joseph S. Koopmeiners, Rachel Denlinger-Apte, et al.. (2022). Preliminary evidence on cigarette nicotine reduction with concurrent access to an e-cigarette: Manipulating cigarette nicotine content, e-liquid nicotine content, and e-liquid flavor availability. Preventive Medicine. 165(Pt B). 107213–107213. 8 indexed citations

Cassidy, Rachel N., Jennifer W. Tidey, Qing Cao, et al.. (2021). Responses to Gradual and Immediate Reduction of Nicotine in Cigarettes in Young Versus Older Adult Smokers. Nicotine & Tobacco Research. 23(9). 1559–1566. 8 indexed citations

Carroll, Dana Mowls, Bruce R. Lindgren, Sarah S. Dermody, et al.. (2021). Impact of nicotine reduction in cigarettes on smoking behavior and exposure: Are there differences by race/ethnicity, educational attainment, or gender?. Drug and Alcohol Dependence. 225. 108756–108756. 8 indexed citations

Dermody, Sarah S., Katelyn Tessier, Ellen Meier, et al.. (2020). An Evaluation of Potential Unintended Consequences of a Nicotine Product Standard: A Focus on Drinking History and Outcomes. Nicotine & Tobacco Research. 23(7). 1168–1175. 6 indexed citations

Skubitz, Amy P.N., Qing Cao, Timothy K. Starr, et al.. (2019). Simultaneous Measurement of 92 Serum Protein Biomarkers for the Development of a Multiprotein Classifier for Ovarian Cancer Detection. Cancer Prevention Research. 12(3). 171–184. 14 indexed citations

10.

Smith, Tracy T., Joseph S. Koopmeiners, Katelyn Tessier, et al.. (2019). Randomized Trial of Low-Nicotine Cigarettes and Transdermal Nicotine. American Journal of Preventive Medicine. 57(4). 515–524. 22 indexed citations

11.

Cunanan, Kristen & Joseph S. Koopmeiners. (2018). Efficacy/toxicity dose-finding using hierarchical modeling for multiple populations. Contemporary Clinical Trials. 71. 162–172. 5 indexed citations

12.

Borgatti, Antonella, Joseph S. Koopmeiners, Aaron L. Sarver, et al.. (2017). Safe and Effective Sarcoma Therapy through Bispecific Targeting of EGFR and uPAR. Molecular Cancer Therapeutics. 16(5). 956–965. 33 indexed citations

13.

Rupprecht, Laura E., Joseph S. Koopmeiners, Sarah S. Dermody, et al.. (2016). Reducing nicotine exposure results in weight gain in smokers randomised to very low nicotine content cigarettes. Tobacco Control. 26(e1). e43–e48. 13 indexed citations

14.

Hatsukami, Dorothy K., Eric C. Donny, Joseph S. Koopmeiners, & Neal L. Benowitz. (2014). Compensatory Smoking from Gradual and Immediate Reduction in Cigarette Nicotine Content. Cancer Epidemiology Biomarkers & Prevention. 24(2). 472–476. 46 indexed citations

15.

Bohrer, Laura R., Pavlina Chuntova, Thomas C. Beadnell, et al.. (2013). Activation of the FGFR–STAT3 Pathway in Breast Cancer Cells Induces a Hyaluronan-Rich Microenvironment That Licenses Tumor Formation. Cancer Research. 74(1). 374–386. 59 indexed citations

16.

Skubitz, Amy P.N., J. Carlos Manivel, Stephen C. Schmechel, et al.. (2013). Expression of FAP, ADAM12, WISP1, and SOX11 is heterogeneous in aggressive fibromatosis and spatially relates to the histologic features of tumor activity. Cancer Medicine. 3(1). 81–90. 21 indexed citations

17.

Kotandeniya, Delshanee, Daniel Murphy, Shuo Yan, et al.. (2013). Kinetics of O⁶-Pyridyloxobutyl-2′-deoxyguanosine Repair by Human O⁶-alkylguanine DNA Alkyltransferase. Biochemistry. 52(23). 4075–4088. 6 indexed citations

18.

Jong, Ebbing P. de, et al.. (2011). Sample collection and handling considerations for peptidomic studies in whole saliva; implications for biomarker discovery. Clinica Chimica Acta. 412(23-24). 2284–2288. 25 indexed citations

19.

Langeberg, Wendy J., Erika M. Kwon, Joseph S. Koopmeiners, Elaine A. Ostrander, & Janet L. Stanford. (2010). Population-Based Study of the Association of Variants in Mismatch Repair Genes with Prostate Cancer Risk and Outcomes. Cancer Epidemiology Biomarkers & Prevention. 19(1). 258–264. 23 indexed citations

20.

Agalliu, Ilir, Erika M. Kwon, Claudia A. Salinas, et al.. (2009). Genetic variation in DNA repair genes and prostate cancer risk: results from a population-based study. Cancer Causes & Control. 21(2). 289–300. 75 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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