Vanessa Didelez
Impact in
- Statistics and Probability top 0.5%
- Advanced Causal Inference Techniques
- Statistical Methods and Inference
- Statistical Methods in Clinical Trials
- Statistical Methods and Bayesian Inference
- Genetics top 5%
- Genetic Associations and Epidemiology
- Genetic and phenotypic traits in livestock
Papers in
-
- Advanced Causal Inference Techniques 37
- Statistical Methods and Inference 24
- Statistical Methods and Bayesian Inference 16
- Statistical Methods in Clinical Trials 7
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- Bayesian Modeling and Causal Inference 21
- Co-authors
- Nuala A. Sheehan (11 shared papers)Paul R. Burton (1 shared paper)Martin D. Tobin (1 shared paper)Meng Sha (2 shared papers)Jonathan A C Sterne (5 shared papers)Mats Julius Stensrud (5 shared papers)Tom Palmer (5 shared papers)A. P. Dawid (4 shared papers)
- Journals
- Biometrical Journal (6 papers)American Journal of Epidemiology (5 papers)Statistics in Medicine (5 papers)Journal of Clinical Epidemiology (3 papers)Scandinavian Journal of Statistics (3 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Vanessa Didelez
76 papers receiving 2.6k citations
Vanessa Didelez's Hit Papers
Peers
Comparison fields: 5 of 152
- Statistics and Probability 826
- Genetics 662
- Economics and Econometrics 222
- Rheumatology 106
- Health 48
Countries citing papers authored by Vanessa Didelez
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
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-authors
The 25 scholars most cited alongside Vanessa Didelez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Mendelian randomization as an instrumental variable approach to causal inference Hit paper breakdown → | 2007 | 702 |
| 2 | 2008 | 301 | |
| 3 | 2011 | 266 | |
| 4 | 2010 | 161 | |
| 5 | 2020 | 71 | |
| 6 | 2010 | 65 | |
| 7 | 2010 | 62 | |
| 8 | 2018 | 56 | |
| 9 | 2009 | 56 | |
| 10 | Survival Analysis Using S. Analysis of Time-to-Event Data | 2004 | 51 |
| 11 | 2018 | 50 | |
| 12 | 2001 | 46 | |
| 13 | 2023 | 42 | |
| 14 | 2020 | 41 | |
| 15 | 2017 | 40 | |
| 16 | 2021 | 38 | |
| 17 | 2022 | 36 | |
| 18 | 2006 | 35 | |
| 19 | 2021 | 35 | |
| 20 | 2019 | 34 |
About Vanessa Didelez
Vanessa Didelez is a scholar working on Statistics and Probability, Artificial Intelligence, Genetics, Economics and Econometrics and Rheumatology, having authored 79 papers that have together received 2.7k indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (37 papers), Statistical Methods and Inference (24 papers), Bayesian Modeling and Causal Inference (21 papers), Statistical Methods and Bayesian Inference (16 papers), Genetic Associations and Epidemiology (13 papers), Health Systems, Economic Evaluations, Quality of Life (11 papers), Statistical Methods in Clinical Trials (7 papers) and Folate and B Vitamins Research (4 papers). The work is most often cited by research in Statistics and Probability (826 citations), Genetics (662 citations), Economics and Econometrics (222 citations), Rheumatology (106 citations) and Health (48 citations). Vanessa Didelez has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Nuala A. Sheehan, Paul R. Burton, Martin D. Tobin, Meng Sha, Jonathan A C Sterne, Mats Julius Stensrud, Tom Palmer, A. P. Dawid, George Davey Smith and Roger M. Harbord. Their work appears in journals such as Biometrical Journal, American Journal of Epidemiology, Statistics in Medicine, Journal of Clinical Epidemiology and Scandinavian Journal of Statistics.
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.