Eric A. W. Slob

2.0k total citations · 3 hit papers
21 papers, 872 citations indexed

About

Eric A. W. Slob is a scholar working on Genetics, Pediatrics, Perinatology and Child Health and Obstetrics and Gynecology. According to data from OpenAlex, Eric A. W. Slob has authored 21 papers receiving a total of 872 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Genetics, 7 papers in Pediatrics, Perinatology and Child Health and 7 papers in Obstetrics and Gynecology. Recurrent topics in Eric A. W. Slob's work include Genetic Associations and Epidemiology (14 papers), Birth, Development, and Health (7 papers) and Pregnancy and preeclampsia studies (6 papers). Eric A. W. Slob is often cited by papers focused on Genetic Associations and Epidemiology (14 papers), Birth, Development, and Health (7 papers) and Pregnancy and preeclampsia studies (6 papers). Eric A. W. Slob collaborates with scholars based in United Kingdom, Netherlands and United States. Eric A. W. Slob's co-authors include Stephen Burgess, Dipender Gill, Verena Zuber, Ashish Patel, Nastasiya F. Grinberg, Chris Wallace, Ichcha Manipur, Fu Siong Ng, Maddalena Ardissino and Joanna Girling and has published in prestigious journals such as Nature Communications, PLoS ONE and European Heart Journal.

In The Last Decade

Eric A. W. Slob

21 papers receiving 867 citations

Hit Papers

A comparison of robust Mendelian randomization methods us... 2020 2026 2022 2024 2020 2022 2023 100 200 300

Peers

Eric A. W. Slob
Wes Spiller United Kingdom
Kerry Rowe United States
Nina Mars Finland
Seyedeh M. Zekavat United States
Kathy Pan United States
Weiva Sieh United States
Wes Spiller United Kingdom
Eric A. W. Slob
Citations per year, relative to Eric A. W. Slob Eric A. W. Slob (= 1×) peers Wes Spiller

Countries citing papers authored by Eric A. W. Slob

Since Specialization
Citations

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

Fields of papers citing papers by Eric A. W. Slob

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric A. W. Slob. 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 Eric A. W. Slob. The network helps show where Eric A. W. Slob may publish in the future.

Co-authorship network of co-authors of Eric A. W. Slob

This figure shows the co-authorship network connecting the top 25 collaborators of Eric A. W. Slob. A scholar is included among the top collaborators of Eric A. W. Slob 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 Eric A. W. Slob. Eric A. W. Slob 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
2.
Ardissino, Maddalena, Eric A. W. Slob, Rohin K. Reddy, et al.. (2024). Genetically proxied low-density lipoprotein cholesterol lowering via PCSK9-inhibitor drug targets and risk of congenital malformations. European Journal of Preventive Cardiology. 31(8). 955–965. 10 indexed citations
3.
He, Baoting, Hugh Simon Lam, Xiu Qiu, et al.. (2024). Association and mediation pathways of maternal hyperglycaemia and liability to gestational diabetes with neonatal outcomes: A two‐sample Mendelian randomization study. Diabetes Obesity and Metabolism. 27(2). 529–538. 1 indexed citations
4.
Ardissino, Maddalena, Buu Truong, Eric A. W. Slob, et al.. (2024). Proteome- and Transcriptome-Wide Genetic Analysis Identifies Biological Pathways and Candidate Drug Targets for Preeclampsia. Circulation Genomic and Precision Medicine. 17(5). e004755–e004755. 2 indexed citations
5.
Aman, Alisha, Eric A. W. Slob, Joey Ward, Naveed Sattar, & Rona J. Strawbridge. (2024). Investigating the association of the effect of genetically proxied PCSK9i with mood disorders using cis-pQTLs: A drug-target Mendelian randomization study. PLoS ONE. 19(9). e0310396–e0310396. 2 indexed citations
6.
Ardissino, Maddalena, et al.. (2023). Association of Hypertensive Disorders of Pregnancy With Future Cardiovascular Disease. JAMA Network Open. 6(2). e230034–e230034. 46 indexed citations
7.
Kippersluis, Hans van, Pietro Biroli, T. J. Galama, et al.. (2023). Overcoming attenuation bias in regressions using polygenic indices. Nature Communications. 14(1). 4473–4473. 7 indexed citations
8.
Ardissino, Maddalena, Alec Morley, Eric A. W. Slob, et al.. (2023). Birth weight influences cardiac structure, function, and disease risk: evidence of a causal association. European Heart Journal. 45(6). 443–454. 21 indexed citations
9.
Burgess, Stephen, Amy M. Mason, Andrew J. Grant, et al.. (2023). Using genetic association data to guide drug discovery and development: Review of methods and applications. The American Journal of Human Genetics. 110(2). 195–214. 60 indexed citations breakdown →
10.
Ardissino, Maddalena, Rohin K. Reddy, Eric A. W. Slob, et al.. (2023). Maternal hypertensive traits and adverse outcome in pregnancy: a Mendelian randomization study. Journal of Hypertension. 41(9). 1438–1445. 6 indexed citations
11.
Rietveld, Cornelius A., Ronald de Vlaming, & Eric A. W. Slob. (2023). The identification of mediating effects using genome-based restricted maximum likelihood estimation. PLoS Genetics. 19(2). e1010638–e1010638. 1 indexed citations
12.
Ardissino, Maddalena, Eric A. W. Slob, Paul Carter, et al.. (2023). Sex‐Specific Reproductive Factors Augment Cardiovascular Disease Risk in Women: A Mendelian Randomization Study. Journal of the American Heart Association. 12(5). e027933–e027933. 26 indexed citations
13.
Ardissino, Maddalena, Rohin K. Reddy, Eric A. W. Slob, et al.. (2022). Sleep Disordered Breathing, Obesity and Atrial Fibrillation: A Mendelian Randomisation Study. Genes. 13(1). 104–104. 11 indexed citations
14.
Aman, Alisha, Eric A. W. Slob, Joey Ward, et al.. (2022). Investigating the potential impact of PCSK9-inhibitors on mood disorders using eQTL-based Mendelian randomization. PLoS ONE. 17(12). e0279381–e0279381. 8 indexed citations
15.
Ardissino, Maddalena, Eric A. W. Slob, Skanda Rajasundaram, et al.. (2022). Safety of beta-blocker and calcium channel blocker antihypertensive drugs in pregnancy: a Mendelian randomization study. BMC Medicine. 20(1). 288–288. 16 indexed citations
16.
Zuber, Verena, Nastasiya F. Grinberg, Dipender Gill, et al.. (2022). Combining evidence from Mendelian randomization and colocalization: Review and comparison of approaches. The American Journal of Human Genetics. 109(5). 767–782. 245 indexed citations breakdown →
17.
Vlaming, Ronald de, Eric A. W. Slob, Philip R. Jansen, et al.. (2021). Multivariate analysis reveals shared genetic architecture of brain morphology and human behavior. Communications Biology. 4(1). 1180–1180. 6 indexed citations
18.
Slob, Eric A. W. & Cornelius A. Rietveld. (2021). Genetic predispositions moderate the effectiveness of tobacco excise taxes. PLoS ONE. 16(11). e0259210–e0259210. 4 indexed citations
19.
Slob, Eric A. W. & Stephen Burgess. (2020). A comparison of robust Mendelian randomization methods using summary data. Genetic Epidemiology. 44(4). 313–329. 380 indexed citations breakdown →
20.
Rietveld, Cornelius A., Eric A. W. Slob, & Roy Thurik. (2020). A decade of research on the genetics of entrepreneurship: a review and view ahead. Small Business Economics. 57(3). 1303–1317. 18 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026