Mette Gerster

459 total citations
17 papers, 338 citations indexed

About

Mette Gerster is a scholar working on Demography, Pediatrics, Perinatology and Child Health and Sociology and Political Science. According to data from OpenAlex, Mette Gerster has authored 17 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Demography, 5 papers in Pediatrics, Perinatology and Child Health and 4 papers in Sociology and Political Science. Recurrent topics in Mette Gerster's work include Birth, Development, and Health (5 papers), Family Dynamics and Relationships (5 papers) and Statistical Methods and Bayesian Inference (3 papers). Mette Gerster is often cited by papers focused on Birth, Development, and Health (5 papers), Family Dynamics and Relationships (5 papers) and Statistical Methods and Bayesian Inference (3 papers). Mette Gerster collaborates with scholars based in Denmark, United States and Belgium. Mette Gerster's co-authors include Per Kragh Andersen, Maja Pohar Perme, John P. Klein, Sergey Tarima, Niels Keiding, Anne‐Marie Nybo Andersen, Lisbeth B. Knudsen, Katrine Strandberg‐Larsen, Stijn Vansteelandt and Jacob Hjelmborg and has published in prestigious journals such as Social Science & Medicine, British Journal of Cancer and Statistics in Medicine.

In The Last Decade

Mette Gerster

17 papers receiving 325 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mette Gerster Denmark 9 96 56 50 46 46 17 338
Anastasia Kostaki Greece 13 26 0.3× 176 3.1× 71 1.4× 21 0.5× 26 0.6× 31 423
Per‐Henrik Zahl Norway 17 21 0.2× 17 0.3× 48 1.0× 25 0.5× 111 2.4× 40 1.1k
Sarah Lensen Australia 19 22 0.2× 10 0.2× 15 0.3× 402 8.7× 18 0.4× 58 1.2k
Janet Pregler United States 8 12 0.1× 6 0.1× 28 0.6× 25 0.5× 17 0.4× 13 374
Viviana Egidi Italy 12 13 0.1× 92 1.6× 20 0.4× 9 0.2× 22 0.5× 33 488
Andrew K. Teng United States 9 8 0.1× 50 0.9× 39 0.8× 23 0.5× 121 2.6× 13 365
Francis Lobo United States 11 8 0.1× 13 0.2× 50 1.0× 4 0.1× 21 0.5× 36 388
Marisol Rodrı́guez Spain 9 116 1.2× 12 0.2× 14 0.3× 6 0.1× 2 0.0× 21 552
İpek Demir United Kingdom 10 4 0.0× 50 0.9× 131 2.6× 10 0.2× 12 0.3× 30 299
Andrea Lynch United Kingdom 5 7 0.1× 5 0.1× 19 0.4× 27 0.6× 10 0.2× 12 377

Countries citing papers authored by Mette Gerster

Since Specialization
Citations

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

Fields of papers citing papers by Mette Gerster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mette Gerster

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

All Works

17 of 17 papers shown
1.
Perme, Maja Pohar & Mette Gerster. (2017). Computes Pseudo-Observations for Modeling [R package pseudo version 1.4.3]. 1 indexed citations
2.
Madsen, Mia, Per Kragh Andersen, Mette Gerster, et al.. (2014). Are the educational differences in incidence of cardiovascular disease explained by underlying familial factors? A twin study. Social Science & Medicine. 118. 182–190. 25 indexed citations
3.
Madsen, Mia, Per Kragh Andersen, Mette Gerster, et al.. (2013). Are familial factors underlying the association between socioeconomic position and prescription medicine? A register-based study on Danish twins. BMJ Open. 3(11). e003292–e003292. 3 indexed citations
4.
Gerster, Mette, Mia Madsen, & Per Kragh Andersen. (2013). Matched survival data in a co-twin control design. Lifetime Data Analysis. 20(1). 38–50. 8 indexed citations
5.
Gerster, Mette, Mette Ejrnæs, & Niels Keiding. (2013). The Causal Effect of Educational Attainment on Completed Fertility for a Cohort of Danish Women—Does Feedback Play a Role?. Statistics in Biosciences. 6(2). 204–222. 12 indexed citations
6.
Mortensen, Laust Hvas, et al.. (2012). Preterm Birth and Birthweight‐for‐Gestational Age among Immigrant Women in Denmark 1978–2007: A Nationwide Registry Study. Paediatric and Perinatal Epidemiology. 26(6). 534–542. 35 indexed citations
7.
Madsen, M., Per Kragh Andersen, Mette Gerster, et al.. (2011). Does the association of education with breast cancer replicate within twin pairs? A register-based study on Danish female twins. British Journal of Cancer. 104(3). 520–523. 7 indexed citations
8.
Mikkelsen, Sigurd, Christina Funch Lassen, Imogen Vilstrup, et al.. (2011). Does computer use affect the incidence of distal arm pain? A one-year prospective study using objective measures of computer use. International Archives of Occupational and Environmental Health. 85(2). 139–152. 11 indexed citations
9.
Skytte, Anne‐Bine, D. G. Crüger, Mette Gerster, et al.. (2011). Breast cancer after bilateral risk-reducing mastectomy. Clinical Genetics. 79(5). 431–437. 45 indexed citations
10.
Martinussen, Torben, Stijn Vansteelandt, Mette Gerster, & Jacob Hjelmborg. (2011). Estimation of Direct Effects for Survival Data by using the Aalen Additive Hazards Model. Journal of the Royal Statistical Society Series B (Statistical Methodology). 73(5). 773–788. 36 indexed citations
11.
Andersen, Per Kragh, et al.. (2011). P1-465 Education and cardiovascular disease incidence in Danish men and women. A discordant twin pair design. Journal of Epidemiology & Community Health. 65(Suppl 1). A195.4–A196. 1 indexed citations
12.
Hvidtfeldt, Ulla Arthur, Mette Gerster, Lisbeth B. Knudsen, & Niels Keiding. (2010). Are low Danish fertility rates explained by changes in timing of births?. Scandinavian Journal of Public Health. 38(4). 426–433. 8 indexed citations
13.
Gerster, Mette. (2009). Socioeconomic determinants for fertility. 1 indexed citations
14.
Klein, John P., Mette Gerster, Per Kragh Andersen, Sergey Tarima, & Maja Pohar Perme. (2008). SAS and R functions to compute pseudo-values for censored data regression. Computer Methods and Programs in Biomedicine. 89(3). 289–300. 96 indexed citations
15.
Gerster, Mette & Niels Keiding. (2008). Biological and sociological interpretations of age-adjustment in studies of higher order birth rates. Demographic Research. 19. 1205–1216. 1 indexed citations
16.
Kvist, Kajsa, Mette Gerster, Per Kragh Andersen, & Lars Vedel Kessing. (2007). Non‐parametric estimation and model checking procedures for marginal gap time distributions for recurrent events. Statistics in Medicine. 26(30). 5394–5410. 3 indexed citations
17.
Gerster, Mette, Niels Keiding, Lisbeth B. Knudsen, & Katrine Strandberg‐Larsen. (2007). Education and second birth rates in Denmark 1981-1994. Demographic Research. 17. 181–210. 45 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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