Zoltán Kutalik

73.0k total citations · 4 hit papers
147 papers, 4.8k citations indexed

About

Zoltán Kutalik is a scholar working on Genetics, Molecular Biology and Epidemiology. According to data from OpenAlex, Zoltán Kutalik has authored 147 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Genetics, 53 papers in Molecular Biology and 17 papers in Epidemiology. Recurrent topics in Zoltán Kutalik's work include Genetic Associations and Epidemiology (64 papers), Genetic and phenotypic traits in livestock (23 papers) and Genetic Mapping and Diversity in Plants and Animals (18 papers). Zoltán Kutalik is often cited by papers focused on Genetic Associations and Epidemiology (64 papers), Genetic and phenotypic traits in livestock (23 papers) and Genetic Mapping and Diversity in Plants and Animals (18 papers). Zoltán Kutalik collaborates with scholars based in Switzerland, United States and United Kingdom. Zoltán Kutalik's co-authors include Sven Bergmann, Ninon Mounier, Toby Johnson, David Lamparter, Katarzyna Bryc, John Novembre, Matthew R. Nelson, Carlos D. Bustamante, Matthew Stephens and Adam R. Boyko and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Zoltán Kutalik

141 papers receiving 4.7k 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.

Genes mirror geography within Europe

2008 887 citations Zoltán Kutalik, Sven Bergmann et al. profile →
Bias correction for inverse variance weighting Mendelian randomization

2023 173 citations Zoltán Kutalik et al. profile →
Participation bias in the UK Biobank distorts genetic associations and downstream analyses

2023 157 citations Tabea Schoeler, Eleonora Porcu et al. profile →
Causality-enriched epigenetic age uncouples damage and adaptation

2024 72 citations Marie C. Sadler, Zoltán Kutalik et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zoltán Kutalik Switzerland	36	2.0k	1.8k	531	433	326	147	4.8k
Clare Bycroft United Kingdom	4	2.5k 1.2×	1.7k 0.9×	478 0.9×	469 1.1×	331 1.0×	4	5.2k
Jared O’Connell United Kingdom	9	2.4k 1.2×	1.3k 0.7×	464 0.9×	457 1.1×	269 0.8×	13	4.8k
Gavin Band United Kingdom	7	2.7k 1.3×	1.3k 0.7×	460 0.9×	460 1.1×	272 0.8×	10	5.0k
Allan Motyer Australia	7	2.2k 1.1×	1.2k 0.7×	463 0.9×	467 1.1×	250 0.8×	17	4.5k
Desislava Petkova United States	8	2.5k 1.2×	1.3k 0.7×	453 0.9×	451 1.0×	251 0.8×	9	5.1k
Kevin Sharp United States	11	2.7k 1.3×	1.5k 0.8×	487 0.9×	539 1.2×	279 0.9×	17	5.4k
Colin Freeman United Kingdom	13	3.4k 1.7×	2.5k 1.4×	587 1.1×	468 1.1×	348 1.1×	14	6.8k
Alexander Gusev United States	33	3.6k 1.7×	2.2k 1.2×	330 0.6×	306 0.7×	518 1.6×	91	5.9k
Yurii S. Aulchenko Netherlands	42	2.9k 1.4×	2.0k 1.1×	471 0.9×	669 1.5×	415 1.3×	156	6.6k
Kathryn L. Lunetta United States	44	2.3k 1.1×	2.6k 1.4×	395 0.7×	818 1.9×	509 1.6×	198	7.0k

Countries citing papers authored by Zoltán Kutalik

Since Specialization

Citations

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

Fields of papers citing papers by Zoltán Kutalik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zoltán Kutalik

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

Pistis, Giorgio, Marie‐Pierre F. Strippoli, Jens H. van Dalfsen, et al.. (2025). The Role of Energy Homeostasis in Depression Pathophysiology and Its Heterogeneity. JAMA Psychiatry. 82(10). 992–992.

German, J, et al.. (2025). Incorporating genetic data improves target trial emulations and informs the use of polygenic scores in randomized controlled trial design. Nature Genetics. 57(7). 1620–1627. 1 indexed citations

Medina, Jéssica, Neil H. Goss, Gonçalo dos Santos Correia, et al.. (2025). Clinical lipidomics reveals high individuality and sex specificity of circulatory lipid signatures: a prospective healthy population study. Journal of Lipid Research. 66(5). 100780–100780. 3 indexed citations

Sadler, Marie C., et al.. (2024). Breaking down causes, consequences, and mediating effects of telomere length variation on human health. Genome biology. 25(1). 125–125. 6 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

Kentistou, Katherine A., Jian’an Luan, Laura B. L. Wittemans, et al.. (2023). Large scale phenotype imputation and in vivo functional validation implicate ADAMTS14 as an adiposity gene. Nature Communications. 14(1). 307–307. 2 indexed citations

Auwerx, Chiara, et al.. (2023). Exploiting the mediating role of the metabolome to unravel transcript-to-phenotype associations. eLife. 12. 17 indexed citations

Hanßen, Ruth, Chiara Auwerx, Marie C. Sadler, et al.. (2023). Chromosomal deletions on 16p11.2 encompassing SH2B1 are associated with accelerated metabolic disease. Cell Reports Medicine. 4(8). 101155–101155. 14 indexed citations

Cheval, Boris, Karmel W. Choi, Yann C. Klimentidis, et al.. (2023). Genetic insights into the causal relationship between physical activity and cognitive functioning. Scientific Reports. 13(1). 5310–5310. 16 indexed citations

10.

Pistis, Giorgio, Yuri Milaneschi, Caroline L. Vandeleur, et al.. (2021). Obesity and atypical depression symptoms: findings from Mendelian randomization in two European cohorts. Translational Psychiatry. 11(1). 96–96. 40 indexed citations

11.

Gholam‐Rezaee, Mehdi, Jennifer Sjaarda, Radoslaw Panczak, et al.. (2021). Socio-economic position as a moderator of cardiometabolic outcomes in patients receiving psychotropic treatment associated with weight gain: results from a prospective 12-month inception cohort study and a large population-based cohort. Translational Psychiatry. 11(1). 360–360. 7 indexed citations

12.

Porcu, Eleonora, Marie C. Sadler, Kaido Lepik, et al.. (2021). Differentially expressed genes reflect disease-induced rather than disease-causing changes in the transcriptome. Nature Communications. 12(1). 5647–5647. 63 indexed citations

13.

Karsai, Gergely, Museer A. Lone, Zoltán Kutalik, et al.. (2019). FADS3 is a Δ14Z sphingoid base desaturase that contributes to gender differences in the human plasma sphingolipidome. Journal of Biological Chemistry. 295(7). 1889–1897. 70 indexed citations

14.

Marouli, Eirini, Fabiola Del Greco M, Christina M. Astley, et al.. (2019). Mendelian randomisation analyses find pulmonary factors mediate the effect of height on coronary artery disease. Communications Biology. 2(1). 119–119. 31 indexed citations

15.

Kutalik, Zoltán. (2019). 48th European Mathematical Genetics Meeting (EMGM) 2020. Human Heredity. 84(4-5). 203–232. 2 indexed citations

16.

McDaid, Aaron F., Peter K. Joshi, Eleonora Porcu, et al.. (2017). Bayesian association scan reveals loci associated with human lifespan and linked biomarkers. Nature Communications. 8(1). 15842–15842. 47 indexed citations

17.

Lamparter, David, Daniel Marbach, Rico Rueedi, Zoltán Kutalik, & Sven Bergmann. (2016). Fast and Rigorous Computation of Gene and Pathway Scores from SNP-Based Summary Statistics. PLoS Computational Biology. 12(1). e1004714–e1004714. 180 indexed citations

18.

Vandenberghe, Frederik, Lina Quteineh, Eva Choong, et al.. (2015). Association of PCK1 with Body Mass Index and Other Metabolic Features in Patients With Psychotropic Treatments. Journal of Clinical Psychopharmacology. 35(5). 544–552. 5 indexed citations

19.

Kutalik, Zoltán, Kenichi Morikawa, Stéphanie Bibert, et al.. (2011). the Swiss Hepatitis C Cohort Study Group. Bern Open Repository and Information System (University of Bern). 2 indexed citations

20.

Bibert, Stéphanie, Zoltán Kutalik, Kazuo Morikawa, et al.. (2011). 1357 A LARGE-SCALE GENETIC VALIDATION STUDY COUPLED WITH IN-VITRO ANALYSES REVEAL A ROLE OF VITAMIN D-SIGNALING IN THE PATHOGENESIS AND TREATMENT OF CHRONIC HEPATITIS C. Journal of Hepatology. 54. S537–S537. 1 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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