Glenn Copeland

5.0k total citations · 1 hit paper
58 papers, 2.3k citations indexed

About

Glenn Copeland is a scholar working on Surgery, Pediatrics, Perinatology and Child Health and Epidemiology. According to data from OpenAlex, Glenn Copeland has authored 58 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Surgery, 20 papers in Pediatrics, Perinatology and Child Health and 18 papers in Epidemiology. Recurrent topics in Glenn Copeland's work include Prenatal Screening and Diagnostics (12 papers), Global Cancer Incidence and Screening (11 papers) and Cervical Cancer and HPV Research (11 papers). Glenn Copeland is often cited by papers focused on Prenatal Screening and Diagnostics (12 papers), Global Cancer Incidence and Screening (11 papers) and Cervical Cancer and HPV Research (11 papers). Glenn Copeland collaborates with scholars based in United States, Kenya and Uganda. Glenn Copeland's co-authors include Charles F. Lynch, Russell S. Kirby, Brenda Y. Hernandez, Marc T. Goodman, Mona Saraiya, Elizabeth R. Unger, Edward Peters, Edward J. Wilkinson, Christopher Lyu and Wendy Cozen and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and JNCI Journal of the National Cancer Institute.

In The Last Decade

Glenn Copeland

57 papers receiving 2.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

US Assessment of HPV Types in Cancers: Implications for Current and 9-Valent HPV Vaccines

2015 578 citations Mona Saraiya, Elizabeth R. Unger et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Glenn Copeland United States	28	849	659	603	491	274	58	2.3k
Etsuko Miyagi Japan	28	623 0.7×	406 0.6×	395 0.7×	302 0.6×	131 0.5×	192	2.4k
Cyllene R. Morris United States	26	514 0.6×	448 0.7×	1.7k 2.8×	176 0.4×	286 1.0×	60	2.9k
Diane Stockton United Kingdom	27	550 0.6×	325 0.5×	838 1.4×	134 0.3×	228 0.8×	61	3.0k
Sarah Feldman United States	24	1.2k 1.4×	435 0.7×	643 1.1×	151 0.3×	176 0.6×	117	2.2k
Julia F. Simard United States	36	585 0.7×	295 0.4×	283 0.5×	139 0.3×	349 1.3×	126	3.6k
Elmar A. Joura Austria	31	2.2k 2.6×	1.3k 2.0×	462 0.8×	128 0.3×	232 0.8×	128	3.3k
Gerard Wain Australia	24	365 0.4×	208 0.3×	1.2k 2.0×	441 0.9×	455 1.7×	52	2.2k
Mati Rahu Estonia	25	228 0.3×	369 0.6×	243 0.4×	309 0.6×	339 1.2×	91	2.1k
Barry A. Miller United States	26	820 1.0×	398 0.6×	2.2k 3.6×	142 0.3×	454 1.7×	40	3.9k
Θεόδωρος Αγοραστός Greece	24	682 0.8×	316 0.5×	269 0.4×	164 0.3×	118 0.4×	100	1.5k

Countries citing papers authored by Glenn Copeland

Since Specialization

Citations

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

Fields of papers citing papers by Glenn Copeland

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Glenn Copeland

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Mix, Jacqueline, Mona Saraiya, Trevor Thompson, et al.. (2021). Prevalence of human papillomavirus genotypes in high‐grade cervical precancer and invasive cervical cancer from cancer registries before and after vaccine introduction in the United States. Cancer. 127(19). 3614–3621. 5 indexed citations

Gargano, Julia W., Rachel Potter, Georgetta Alverson, et al.. (2021). An Evaluation of Dose-Related HPV Vaccine Effectiveness Using Central Registries in Michigan. Cancer Epidemiology Biomarkers & Prevention. 31(1). 183–191. 6 indexed citations

Kirby, Russell S., T. Cara, Martha S. Wingate, et al.. (2019). Prevalence of selected birth defects by maternal nativity status, United States, 1999–2007. Birth Defects Research. 111(11). 630–639. 13 indexed citations

Nikolaidis, Christos, Debra Duquette, Beth Anderson, et al.. (2018). Disparities in genetic services utilization in a random sample of young breast cancer survivors. Genetics in Medicine. 21(6). 1363–1370. 38 indexed citations

Lupo, Philip J., Jennifer Isenburg, Jason L. Salemi, et al.. (2017). Population‐based birth defects data in the United States, 2010–2014: A focus on gastrointestinal defects. Birth Defects Research. 109(18). 1504–1514. 67 indexed citations

Lopez, Keila N., Wendy N. Nembhard, Ying Wang, et al.. (2017). Birth defect survival for hispanic subgroups. Birth Defects Research. 110(4). 352–363. 14 indexed citations

Tong, Van T., Dmitry M. Kissin, Dana Bernson, et al.. (2016). Maternal Smoking Among Women With and Without Use of Assisted Reproductive Technologies. Journal of Women s Health. 25(10). 1066–1072. 11 indexed citations

Anderka, Marlene, T. Cara, Paul A. Romitti, et al.. (2015). Development and implementation of the first national data quality standards for population-based birth defects surveillance programs in the United States. BMC Public Health. 15(1). 925–925. 20 indexed citations

Dunietz, Galit Levi, Claudia Holzman, Patricia McKane, et al.. (2015). Assisted reproductive technology and the risk of preterm birth among primiparas. Fertility and Sterility. 103(4). 974–979.e1. 59 indexed citations

10.

Wang, Ying, Mark A. Canfield, T. Cara, et al.. (2015). Racial/Ethnic Differences in Survival of United States Children with Birth Defects: A Population-Based Study. The Journal of Pediatrics. 166(4). 819–826.e2. 64 indexed citations

11.

Suneja, Gita, Meredith S. Shiels, Glenn Copeland, et al.. (2014). Cancer Treatment Disparities in HIV-Infected Individuals in the United States. Journal of Clinical Oncology. 32(22). 2344–2350. 112 indexed citations

12.

Sinno, Abdulrahman, Mona Saraiya, Trevor Thompson, et al.. (2014). Human Papillomavirus Genotype Prevalence in Invasive Vaginal Cancer From a Registry-Based Population. Obstetrics and Gynecology. 123(4). 817–821. 44 indexed citations

13.

Hopenhayn, Claudia, Amy Christian, W. Jay Christian, et al.. (2014). Prevalence of Human Papillomavirus Types in Invasive Cervical Cancers From 7 US Cancer Registries Before Vaccine Introduction. Journal of Lower Genital Tract Disease. 18(2). 182–189. 50 indexed citations

14.

Flagg, Elaine W., Samik Datta, Mona Saraiya, et al.. (2014). Population-based surveillance for cervical cancer precursors in three central cancer registries, United States 2009. Cancer Causes & Control. 25(5). 571–581. 12 indexed citations

15.

Katapodi, Maria C., Laurel Northouse, Ann Schafenacker, et al.. (2013). Using a state cancer registry to recruit young breast cancer survivors and high-risk relatives: protocol of a randomized trial testing the efficacy of a targeted versus a tailored intervention to increase breast cancer screening. BMC Cancer. 13(1). 97–97. 23 indexed citations

16.

Steinau, Martin, Elizabeth R. Unger, Brenda Y. Hernandez, et al.. (2013). Human Papillomavirus Prevalence in Invasive Anal Cancers in the United States Before Vaccine Introduction. Journal of Lower Genital Tract Disease. 17(4). 397–403. 36 indexed citations

17.

Copeland, Glenn, Raymond Y. Demers, Angela Fagerlin, et al.. (2013). Evaluating long-term patient-centered outcomes following prostate cancer treatment: findings from the Michigan Prostate Cancer Survivor study. Journal of Cancer Survivorship. 8(1). 121–130. 44 indexed citations

18.

Korzeniewski, Steven J., et al.. (2009). Methodological Innovations in Data Gathering: Newborn Screening Linkage with Live Births Records, Michigan, 1/2007–3/2008. Maternal and Child Health Journal. 14(3). 360–364. 2 indexed citations

19.

Copeland, Glenn & Russell S. Kirby. (2007). Using birth defects registry data to evaluate infant and childhood mortality associated with birth defects: An alternative to traditional mortality assessment using underlying cause of death statistics. Birth Defects Research Part A Clinical and Molecular Teratology. 79(11). 792–797. 32 indexed citations

20.

Simon, Michael S., Beth A. Mueller, Dennis Deapen, & Glenn Copeland. (2005). A comparison of record linkage yield for health research using different variable sets. Breast Cancer Research and Treatment. 89(2). 107–110. 9 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.

Explore authors with similar magnitude of impact