Thomas Scheike

13.3k citations
199 papers · 9.2k indexed · 3 hit papers · h-index 48

Thomas Scheike

181 papers receiving 8.9k citations

Hit Papers

Low Serum Insulin-Like Growth Factor I Is Associated With...51019962026200620162505007501000

Peers

Thomas Scheike
Comparison fields: 5 of 196
  • Reproductive Medicine 2.0k
  • Statistics and Probability 1.3k
  • Health, Toxicology and Mutagenesis 1.5k
  • Pediatrics, Perinatology and Child Health 1.4k
  • Endocrinology, Diabetes and Metabolism 1.1k
Replace Clarice R. Weinberg with:
Clarice R. Weinberg United States
Neil J. Perkins United States
Enrique F. Schisterman United States
Jørgen Holm Petersen Denmark
Sholom Wacholder United States
Mark R. Segal United States
William Haenszel United States
Laurence S. Freedman Israel
Jack Bowden United Kingdom
Peter Kraft United States
Thomas Scheike relative to Clarice R. Weinberg United States Clarice R. Weinberg's profile →
Citations per field
00.5×1.5×
Clarice R. Weinberg · 1×
Citations per year

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

The 25 scholars most cited alongside Thomas Scheike, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Thomas Scheike Line = papers co-authored together Thomas Scheike links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20250
4 20250
5 20251
6 20241
7 20243
8 20241
9 20240
10 20240
11 20232
12 20214
13 201621
14 201524
15 201342
16
Analyzing Competing Risk Data Using the R timereg Package
20119
17 200868
18 2005129
19 199919
20
Parametric regression for longitudinal data with counting process measurement times
19945

About Thomas Scheike

Thomas Scheike is a scholar working on Statistics and Probability, Reproductive Medicine and Pediatrics, Perinatology and Child Health, having authored 199 papers that have together received 9.2k indexed citations. Recurring topics across this work include Statistical Methods and Inference (61 papers), Statistical Methods and Bayesian Inference (33 papers), Statistical Methods in Clinical Trials (18 papers), Statistical Distribution Estimation and Applications (17 papers), Birth, Development, and Health (14 papers), Assisted Reproductive Technology and Twin Pregnancy (14 papers), Insurance, Mortality, Demography, Risk Management (12 papers) and Genetic Associations and Epidemiology (12 papers). The work is most often cited by research in Reproductive Medicine (2.0k citations), Statistics and Probability (1.3k citations) and Health, Toxicology and Mutagenesis (1.5k citations). Thomas Scheike has collaborated with scholars based in Denmark, United States and United Kingdom. Frequent 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. Their work appears in journals such as Scandinavian Journal of Statistics, Lifetime Data Analysis, The Journal of Clinical Endocrinology & Metabolism, Biometrics and Statistics in Medicine.

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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2026