Tabea Schoeler

3.7k total citations · 3 hit papers
44 papers, 2.3k citations indexed

About

Tabea Schoeler is a scholar working on Psychiatry and Mental health, Pharmacology and Genetics. According to data from OpenAlex, Tabea Schoeler has authored 44 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Psychiatry and Mental health, 15 papers in Pharmacology and 11 papers in Genetics. Recurrent topics in Tabea Schoeler's work include Cannabis and Cannabinoid Research (15 papers), Bipolar Disorder and Treatment (10 papers) and Schizophrenia research and treatment (10 papers). Tabea Schoeler is often cited by papers focused on Cannabis and Cannabinoid Research (15 papers), Bipolar Disorder and Treatment (10 papers) and Schizophrenia research and treatment (10 papers). Tabea Schoeler collaborates with scholars based in United Kingdom, Switzerland and Norway. Tabea Schoeler's co-authors include Jean‐Baptiste Pingault, Sagnik Bhattacharyya, George B. Ploubidis, Robin Murray, Frühling Rijsdijk, Frank Dudbridge, Charlotte A. M. Cecil, Ewa Klamerus, Enrico Foglia and Paul F. O’Reilly and has published in prestigious journals such as Nature Communications, Psychological Bulletin and SHILAP Revista de lepidopterología.

In The Last Decade

Tabea Schoeler

43 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.

Using genetic data to strengthen causal inference in observational research

2018 289 citations Jean‐Baptiste Pingault, Paul F. O’Reilly et al. Nature Reviews Genetics profile →
Participation bias in the UK Biobank distorts genetic associations and downstream analyses

2023 157 citations Tabea Schoeler, Doug Speed et al. Nature Human Behaviour profile →
Childhood Maltreatment and Mental Health Problems: A Systematic Review and Meta-Analysis of Quasi-Experimental Studies

2023 94 citations Jessie R. Baldwin, Biyao Wang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tabea Schoeler United Kingdom	24	690	640	592	386	332	44	2.3k
Suzanne H. Gage United Kingdom	28	549 0.8×	698 1.1×	370 0.6×	434 1.1×	308 0.9×	64	2.5k
Caroline Dubertret France	28	220 0.3×	1.1k 1.7×	826 1.4×	252 0.7×	190 0.6×	121	3.0k
Marco Colizzi United Kingdom	28	931 1.3×	1.3k 2.0×	658 1.1×	778 2.0×	67 0.2×	92	3.2k
Philippe Huguelet Switzerland	27	299 0.4×	967 1.5×	826 1.4×	664 1.7×	100 0.3×	91	2.6k
Haim Y. Knobler Israel	29	197 0.3×	717 1.1×	1.1k 1.8×	187 0.5×	412 1.2×	60	2.8k
William R. Yates United States	42	376 0.5×	1.7k 2.6×	941 1.6×	541 1.4×	134 0.4×	139	4.6k
Jennifer L. Robinson United States	29	270 0.4×	774 1.2×	433 0.7×	366 0.9×	70 0.2×	75	3.7k
Tzung Lieh Yeh Taiwan	28	266 0.4×	590 0.9×	920 1.6×	193 0.5×	135 0.4×	105	2.5k
Nikolai Olavi Czajkowski Norway	28	139 0.2×	1.4k 2.2×	499 0.8×	359 0.9×	140 0.4×	126	2.5k
S H Dinwiddie United States	13	279 0.4×	1.4k 2.1×	348 0.6×	246 0.6×	403 1.2×	20	3.6k

Countries citing papers authored by Tabea Schoeler

Since Specialization

Citations

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

Fields of papers citing papers by Tabea Schoeler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tabea Schoeler

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

Schoeler, Tabea, Jean‐Baptiste Pingault, & Zoltán Kutalik. (2025). Combining cross-sectional and longitudinal genomic approaches to identify determinants of cognitive and physical decline. Nature Communications. 16(1). 4524–4524. 2 indexed citations

Auwerx, Chiara, Marie C. Sadler, Adriaan van der Graaf, et al.. (2023). The impact of 22q11.2 copy-number variants on human traits in the general population. The American Journal of Human Genetics. 110(2). 300–313. 4 indexed citations

Bhattacharyya, Sagnik, Tabea Schoeler, Marta Di Forti, et al.. (2023). Stressful life events and relapse of psychosis: analysis of causal association in a 2-year prospective observational cohort of individuals with first-episode psychosis in the UK. The Lancet Psychiatry. 10(6). 414–425. 12 indexed citations

Schoeler, Tabea, Doug Speed, Eleonora Porcu, et al.. (2023). Participation bias in the UK Biobank distorts genetic associations and downstream analyses. Nature Human Behaviour. 7(7). 1216–1227. 157 indexed citations breakdown →

Schoeler, Tabea, et al.. (2023). Understanding the relationship between loneliness, substance use traits and psychiatric disorders: A genetically informed approach. Psychiatry Research. 325. 115218–115218. 3 indexed citations

Baldwin, Jessie R., Hannah Sallis, Tabea Schoeler, et al.. (2022). A genetically informed Registered Report on adverse childhood experiences and mental health. Nature Human Behaviour. 7(2). 269–290. 39 indexed citations

Baldwin, Jessie R., Jean‐Baptiste Pingault, Tabea Schoeler, Hannah Sallis, & Marcus R. Munafò. (2022). Protecting against researcher bias in secondary data analysis: challenges and potential solutions. European Journal of Epidemiology. 37(1). 1–10. 73 indexed citations

Wang, Biyao, Jessie R. Baldwin, Tabea Schoeler, et al.. (2021). Genetic nurture effects on education: a systematic review and meta-analysis. bioRxiv (Cold Spring Harbor Laboratory). 12 indexed citations

Wang, Biyao, Jessie R. Baldwin, Tabea Schoeler, et al.. (2021). Robust genetic nurture effects on education: A systematic review and meta-analysis based on 38,654 families across 8 cohorts. The American Journal of Human Genetics. 108(9). 1780–1791. 62 indexed citations

10.

Pingault, Jean‐Baptiste, Frühling Rijsdijk, Tabea Schoeler, et al.. (2021). Genetic sensitivity analysis: Adjusting for genetic confounding in epidemiological associations. PLoS Genetics. 17(6). e1009590–e1009590. 33 indexed citations

11.

Iob, Eleonora, Tabea Schoeler, Charlotte A. M. Cecil, et al.. (2020). Identifying risk factors involved in the common versus specific liabilities to substance use: A genetically informed approach. Addiction Biology. 26(3). e12944–e12944. 8 indexed citations

12.

Liu, Chao-Yu, Tabea Schoeler, Neil M Davies, et al.. (2020). Are there causal relationships between attention-deficit/hyperactivity disorder and body mass index? Evidence from multiple genetically informed designs. International Journal of Epidemiology. 50(2). 496–509. 15 indexed citations

13.

Bhattacharyya, Sagnik, Tabea Schoeler, Rashmi Patel, et al.. (2020). Individualized prediction of 2-year risk of relapse as indexed by psychiatric hospitalization following psychosis onset: Model development in two first episode samples. Schizophrenia Research. 228. 483–492. 9 indexed citations

14.

Pingault, Jean‐Baptiste, Paul F. O’Reilly, Tabea Schoeler, et al.. (2018). Using genetic data to strengthen causal inference in observational research. Nature Reviews Genetics. 19(9). 566–580. 289 indexed citations breakdown →

15.

Schoeler, Tabea, Delphine Theobald, Jean‐Baptiste Pingault, et al.. (2018). Developmental sensitivity to cannabis use patterns and risk for major depressive disorder in mid-life: findings from 40 years of follow-up. Psychological Medicine. 48(13). 2169–2176. 48 indexed citations

16.

Schoeler, Tabea, Natalia Petros, Marta Di Forti, et al.. (2017). Poor medication adherence and risk of relapse associated with continued cannabis use in patients with first-episode psychosis: a prospective analysis. The Lancet Psychiatry. 4(8). 627–633. 95 indexed citations

17.

Schoeler, Tabea, Natalia Petros, Marta Di Forti, et al.. (2017). Effect of continued cannabis use on medication adherence in the first two years following onset of psychosis. Psychiatry Research. 255. 36–41. 19 indexed citations

18.

Pingault, Jean‐Baptiste & Tabea Schoeler. (2017). Assessing the consequences of cyberbullying on mental health. Nature Human Behaviour. 1(11). 775–777. 9 indexed citations

19.

Schoeler, Tabea, Natalia Petros, Marta Di Forti, et al.. (2016). Effects of continuation, frequency, and type of cannabis use on relapse in the first 2 years after onset of psychosis: an observational study. The Lancet Psychiatry. 3(10). 947–953. 117 indexed citations

20.

Schoeler, Tabea & Sagnik Bhattacharyya. (2013). The effect of cannabis use on memory function: an update. SHILAP Revista de lepidopterología. 82 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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