Thomas Scheike

13.3k total citations · 3 hit papers
199 papers, 9.2k citations indexed

About

Thomas Scheike is a scholar working on Statistics and Probability, Pediatrics, Perinatology and Child Health and Genetics. According to data from OpenAlex, Thomas Scheike has authored 199 papers receiving a total of 9.2k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Statistics and Probability, 29 papers in Pediatrics, Perinatology and Child Health and 21 papers in Genetics. Recurrent topics in Thomas Scheike's work include Statistical Methods and Inference (61 papers), Statistical Methods and Bayesian Inference (33 papers) and Statistical Methods in Clinical Trials (18 papers). Thomas Scheike is often cited by papers focused on Statistical Methods and Inference (61 papers), Statistical Methods and Bayesian Inference (33 papers) and Statistical Methods in Clinical Trials (18 papers). Thomas Scheike collaborates with scholars based in Denmark, United States and United Kingdom. Thomas Scheike's co-authors include Tina Kold Jensen, Torben Martinussen, Anders Juul, Aleksander Giwercman, Niels E. Skakkebæk, Mei‐Jie Zhang, Niels Keiding, Philippe Grandjean, Niels Henrik Hjøllund and Henrik Albert Kolstad and has published in prestigious journals such as The Lancet, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Thomas Scheike

181 papers receiving 8.9k citations

Hit Papers

Male reproductive health and environmental xenoestrogens. 1996 2026 2006 2016 1996 1998 2002 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Scheike Denmark 48 2.0k 1.5k 1.5k 1.4k 1.3k 199 9.2k
Enrique F. Schisterman United States 66 2.6k 1.3× 2.8k 1.8× 3.9k 2.7× 5.0k 3.6× 1.6k 1.2× 414 21.5k
Neil J. Perkins United States 43 998 0.5× 541 0.4× 1.7k 1.2× 1.0k 0.7× 595 0.4× 177 7.9k
Clarice R. Weinberg United States 79 3.1k 1.6× 2.7k 1.7× 4.8k 3.3× 4.4k 3.1× 3.4k 2.5× 364 23.8k
Jørgen Holm Petersen Denmark 69 4.0k 2.0× 2.3k 1.5× 2.6k 1.8× 1.9k 1.3× 3.4k 2.6× 364 16.5k
Alice S. Whittemore United States 66 2.4k 1.2× 678 0.4× 1.7k 1.2× 546 0.4× 2.7k 2.0× 282 14.2k
Mark R. Segal United States 51 546 0.3× 661 0.4× 582 0.4× 760 0.5× 2.7k 2.0× 183 11.8k
Allen J. Wilcox United States 74 3.2k 1.6× 1.8k 1.2× 5.2k 3.6× 7.6k 5.4× 1.7k 1.2× 329 19.9k
Patricia Hartge United States 68 2.0k 1.0× 2.5k 1.6× 2.8k 1.9× 974 0.7× 2.7k 2.0× 241 18.7k
N. E. Day United Kingdom 18 310 0.2× 728 0.5× 1.4k 1.0× 657 0.5× 1.1k 0.8× 29 10.5k
Dario Consonni Italy 62 1.3k 0.7× 2.6k 1.7× 1.1k 0.7× 1.1k 0.8× 1.5k 1.1× 435 13.2k

Countries citing papers authored by Thomas Scheike

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Scheike

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Scheike

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Scheike. A scholar is included among the top collaborators of Thomas Scheike 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 Thomas Scheike. Thomas Scheike 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.
Nilsson, Charlotte Juul, Thomas Scheike, Lisa Lyngsie Hjalgrim, et al.. (2025). Socioeconomic characteristics and relapse-free and overall survival from childhood cancer – a nationwide study based on data from the Danish Childhood Cancer Registry. Acta Oncologica. 64. 179–187. 1 indexed citations
2.
Zhang, Jiawei, Rina So, Zhebin Yu, et al.. (2025). Long-Term Exposure to Ambient Air Pollution and Lower Respiratory Tract Infection in Adults: Danish Nationwide Evidence. Annals of the American Thoracic Society. 22(9). 1305–1313. 1 indexed citations
3.
Marquard, Jan, Rasmus Paulin Beske, Henning Kelbæk, et al.. (2025). 10-Year Outcome of Complete or Infarct Artery-Only Revascularization in STEMI With Multivessel Disease. Journal of the American College of Cardiology. 86(2). 119–129.
5.
Cortese, Giuliana, et al.. (2025). Efficient estimation of the marginal mean of recurrent events in randomized controlled trials. Statistical Methods in Medical Research. 34(2). 258–276.
7.
Brandt, Christopher F., et al.. (2024). The Natural History of Crohn’s Disease Leading to Intestinal Failure: A Longitudinal Cohort Study from 1973 to 2018. Journal of Crohn s and Colitis. 19(1). 3 indexed citations
8.
Andersen, Per Kragh, et al.. (2024). Simulation‐based sample size calculations of marginal proportional means models for recurrent events with competing risks. Pharmaceutical Statistics. 23(5). 687–708. 1 indexed citations
9.
Gabriel, Erin E., Michael C. Sachs, Ingeborg Waernbaum, et al.. (2024). Propensity weighting plus adjustment in proportional hazards model is not doubly robust. Biometrics. 80(3). 1 indexed citations
11.
Møller, Dina Leth, Søren Schwartz Sørensen, Omid Rezahosseini, et al.. (2023). Prediction of herpes virus infections after solid organ transplantation: a prospective study of immune function. Frontiers in Immunology. 14. 1183703–1183703. 2 indexed citations
12.
Pipper, Christian Bressen, et al.. (2021). Testing equivalence of survival before but not after end of follow-up. Lifetime Data Analysis. 27(2). 216–243. 4 indexed citations
13.
Hjelmborg, Jacob, Tellervo Korhonen, Klaus K. Holst, et al.. (2016). Lung cancer, genetic predisposition and smoking: the Nordic Twin Study of Cancer. Thorax. 72(11). 1021–1027. 21 indexed citations
14.
Eriksson, Frank, Jianing Li, Thomas Scheike, & Mei‐Jie Zhang. (2015). The proportional odds cumulative incidence model for competing risks. Biometrics. 71(3). 687–695. 24 indexed citations
15.
Sørensen, K., Anders Juul, Kaare Christensen, et al.. (2013). Birth size and age at menarche: a twin perspective. Human Reproduction. 28(10). 2865–2871. 42 indexed citations
16.
Scheike, Thomas & Mei‐Jie Zhang. (2011). Analyzing Competing Risk Data Using the R timereg Package. SHILAP Revista de lepidopterología. 9 indexed citations
17.
Scheike, Thomas & Mei‐Jie Zhang. (2008). Flexible competing risks regression modeling and goodness-of-fit. Lifetime Data Analysis. 14(4). 464–483. 68 indexed citations
18.
Joffe, Michael, Jane Key, Nicky Best, et al.. (2005). Studying Time to Pregnancy by Use of a Retrospective Design. American Journal of Epidemiology. 162(2). 115–124. 129 indexed citations
19.
Scheike, Thomas, Jørgen Holm Petersen, & Torben Martinussen. (1999). Retrospective Ascertainment of Recurrent Events: An Application to Time to Pregnancy. Journal of the American Statistical Association. 94(447). 713–725. 19 indexed citations
20.
Scheike, Thomas. (1994). Parametric regression for longitudinal data with counting process measurement times. Research at the University of Copenhagen (University of Copenhagen). 5 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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