Vanessa Didelez

4.0k total citations · 1 hit paper
77 papers, 2.3k citations indexed

About

Vanessa Didelez is a scholar working on Statistics and Probability, Artificial Intelligence and Genetics. According to data from OpenAlex, Vanessa Didelez has authored 77 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Statistics and Probability, 22 papers in Artificial Intelligence and 13 papers in Genetics. Recurrent topics in Vanessa Didelez's work include Advanced Causal Inference Techniques (38 papers), Statistical Methods and Inference (23 papers) and Bayesian Modeling and Causal Inference (22 papers). Vanessa Didelez is often cited by papers focused on Advanced Causal Inference Techniques (38 papers), Statistical Methods and Inference (23 papers) and Bayesian Modeling and Causal Inference (22 papers). Vanessa Didelez collaborates with scholars based in Germany, United Kingdom and Netherlands. Vanessa Didelez's co-authors include Nuala A. Sheehan, Meng Sha, Paul R. Burton, Martin D. Tobin, A. P. Dawid, Jonathan A C Sterne, Tom Palmer, Michael Eichler, Roger Harbord and George Davey Smith and has published in prestigious journals such as Journal of the American Statistical Association, Annals of Internal Medicine and Scientific Reports.

In The Last Decade

Vanessa Didelez

72 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.

Mendelian randomization as an instrumental variable approach to causal inference

2007 586 citations Vanessa Didelez et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vanessa Didelez Germany	23	817	756	278	224	221	77	2.3k
Binbing Yu United States	29	433 0.5×	238 0.3×	278 1.0×	194 0.9×	378 1.7×	92	3.0k
Yingye Zheng United States	36	716 0.9×	373 0.5×	1.0k 3.7×	217 1.0×	364 1.6×	128	4.5k
Stuart G. Baker United States	33	1.3k 1.6×	281 0.4×	505 1.8×	490 2.2×	214 1.0×	138	3.4k
Lee‐Jen Wei United States	30	2.2k 2.7×	767 1.0×	602 2.2×	519 2.3×	278 1.3×	85	4.6k
Jonathan P. Myles United Kingdom	21	504 0.6×	205 0.3×	204 0.7×	352 1.6×	296 1.3×	39	3.6k
James Wason United Kingdom	27	1.0k 1.3×	129 0.2×	192 0.7×	494 2.2×	201 0.9×	160	2.8k
Qi Long United States	31	411 0.5×	198 0.3×	668 2.4×	136 0.6×	207 0.9×	191	3.3k
Jinbo Chen United States	33	140 0.2×	494 0.7×	382 1.4×	68 0.3×	273 1.2×	138	2.9k
Jerry Halpern United States	27	430 0.5×	740 1.0×	366 1.3×	104 0.5×	113 0.5×	49	3.0k
Hyunseung Kang United States	12	232 0.3×	597 0.8×	381 1.4×	58 0.3×	166 0.8×	36	1.6k

Countries citing papers authored by Vanessa Didelez

Since Specialization

Citations

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

Fields of papers citing papers by Vanessa Didelez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vanessa Didelez

This figure shows the co-authorship network connecting the top 25 collaborators of Vanessa Didelez. A scholar is included among the top collaborators of Vanessa Didelez 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 Vanessa Didelez. Vanessa Didelez 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

Power, Grace M., Tom Palmer, Nicole M. Warrington, et al.. (2025). A structural mean modeling Mendelian randomization approach to investigate the lifecourse effect of adiposity: applied and methodological considerations. American Journal of Epidemiology. 195(1). 21–31.

Nagrani, Rajini, Maike Wolters, Christoph Buck, et al.. (2025). Effect of long-term air pollution reduction on insulin resistance and fasting glucose in children: A causal analysis. Environmental Research. 292. 122920–122920.

Andrews, Ryan M., et al.. (2024). Software application profile: tpc and micd—R packages for causal discovery with incomplete cohort data. International Journal of Epidemiology. 53(5). 1 indexed citations

Pox, Christian, et al.. (2024). 13-Year colorectal cancer risk after lower-quality, higher-quality and no screening colonoscopy: a cohort study. Journal of Clinical Epidemiology. 176. 111571–111571.

Foraita, Ronja, Claudia Börnhorst, Wencke Gwozdz, et al.. (2024). A longitudinal causal graph analysis investigating modifiable risk factors and obesity in a European cohort of children and adolescents. Scientific Reports. 14(1). 6822–6822. 8 indexed citations

Luijken, Kim, Jeroen Hoogland, Ruth H. Keogh, et al.. (2024). Risk‐Based Decision Making: Estimands for Sequential Prediction Under Interventions. Biometrical Journal. 66(8). e70011–e70011. 4 indexed citations

Young, Jessica G., et al.. (2023). Considering Questions Before Methods in Dementia Research With Competing Events and Causal Goals. American Journal of Epidemiology. 192(8). 1415–1423. 28 indexed citations

Stensrud, Mats Julius, Vanessa Didelez, & Aaron L. Sarvet. (2023). Mats Stensrud, Vanessa Didelez and Aaron Sarvet's contribution to the Discussion of ‘Experimental evaluation of algorithm-assisted human decision-making: application to pretrial public safety assessment’ by Imai et al., part 2. Journal of the Royal Statistical Society Series A (Statistics in Society). 186(2). 201–202. 1 indexed citations

Hanke, Moritz, Louis Dijkstra, Ronja Foraita, & Vanessa Didelez. (2023). Variable selection in linear regression models: Choosing the best subset is not always the best choice. Biometrical Journal. 66(1). e2200209–e2200209. 6 indexed citations

10.

Morris, Tim, Jon Heron, Eleanor Sanderson, et al.. (2022). Interpretation of Mendelian randomization using a single measure of an exposure that varies over time. International Journal of Epidemiology. 51(6). 1899–1909. 27 indexed citations

11.

Kollhorst, Bianca, Ingo Langner, Heike Minnerup, et al.. (2022). Effectiveness of Mammography Screening on Breast Cancer Mortality – A Study Protocol for Emulation of Target Trials Using German Health Claims Data. Clinical Epidemiology. Volume 14. 1293–1303. 3 indexed citations

12.

Börnhorst, Claudia, Wolfgang Rathmann, Brenda Bongaerts, et al.. (2021). Avoiding Time-Related Biases: A Feasibility Study on Antidiabetic Drugs and Pancreatic Cancer Applying the Parametric g-Formula to a Large German Healthcare Database. Clinical Epidemiology. Volume 13. 1027–1038. 5 indexed citations

13.

Stensrud, Mats Julius, Miguel A. Hernán, Eric J. Tchetgen Tchetgen, et al.. (2021). A generalized theory of separable effects in competing event settings. Lifetime Data Analysis. 27(4). 588–631. 27 indexed citations

14.

Jiang, Lai, Karim Oualkacha, Vanessa Didelez, et al.. (2019). Constrained instruments and their application to Mendelian randomization with pleiotropy. Genetic Epidemiology. 43(4). 373–401. 11 indexed citations

15.

Didelez, Vanessa. (2015). Causal reasoning for events in continuous time: a decision—theoretic approach. Bristol Research (University of Bristol). 40–45. 6 indexed citations

16.

Evans, Robin J. & Vanessa Didelez. (2015). Recovering from selection bias using marginal structure in discrete models. Explore Bristol Research. 1504. 46–55. 3 indexed citations

17.

Dawid, A. P. & Vanessa Didelez. (2012). "Imagine a Can Opener"--The Magic of Principal Stratum Analysis. The International Journal of Biostatistics. 8(1). 19–19. 17 indexed citations

18.

Gran, Jon Michael, Kjetil Røysland, Marcel Wolbers, et al.. (2010). A sequential Cox approach for estimating the causal effect of treatment in the presence of time‐dependent confounding applied to data from the Swiss HIV Cohort Study. Statistics in Medicine. 29(26). 2757–2768. 60 indexed citations

19.

Didelez, Vanessa. (2004). Survival Analysis Using S. Analysis of Time-to-Event Data. Biometrics. 60(4). 57. 49 indexed citations

20.

Arjas, Elja, A. P. Dawid, Vanessa Didelez, et al.. (2003). Optimal dynamic treatment regimes - Discussion on the paper by Murphy. Journal of the Royal Statistical Society Series B (Statistical Methodology). 65. 355–366. 2 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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