Karoline Kuchenbaecker

12.4k total citations · 1 hit paper
28 papers, 962 citations indexed

About

Karoline Kuchenbaecker is a scholar working on Genetics, Psychiatry and Mental health and Molecular Biology. According to data from OpenAlex, Karoline Kuchenbaecker has authored 28 papers receiving a total of 962 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Genetics, 4 papers in Psychiatry and Mental health and 3 papers in Molecular Biology. Recurrent topics in Karoline Kuchenbaecker's work include Genetic Associations and Epidemiology (17 papers), BRCA gene mutations in cancer (6 papers) and Genetic and phenotypic traits in livestock (3 papers). Karoline Kuchenbaecker is often cited by papers focused on Genetic Associations and Epidemiology (17 papers), BRCA gene mutations in cancer (6 papers) and Genetic and phenotypic traits in livestock (3 papers). Karoline Kuchenbaecker collaborates with scholars based in United Kingdom, United States and Germany. Karoline Kuchenbaecker's co-authors include Muhammad Ayub, Segun Fatumo, Alicia R. Martin, Ananyo Choudhury, Tinashe Chikowore, Antonis C. Antoniou, Nasim Mavaddat, Douglas F. Easton, Alex Cunningham and Daniel I. Swerdlow and has published in prestigious journals such as Nature Medicine, Nature Communications and Bioinformatics.

In The Last Decade

Karoline Kuchenbaecker

26 papers receiving 949 citations

Hit Papers

A roadmap to increase diversity in genomic studies 2022 2026 2023 2024 2022 50 100 150 200 250

Peers

Karoline Kuchenbaecker
Longda Jiang Australia
Nina Mars Finland
Diane T. Smelser United States
Eric A. W. Slob United Kingdom
Wes Spiller United Kingdom
Jennifer Malinowski United States
Paula Abreu United States
Akl C. Fahed United States
Karoline Kuchenbaecker
Citations per year, relative to Karoline Kuchenbaecker Karoline Kuchenbaecker (= 1×) peers Heather Mason‐Suares

Countries citing papers authored by Karoline Kuchenbaecker

Since Specialization
Citations

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

Fields of papers citing papers by Karoline Kuchenbaecker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karoline Kuchenbaecker

This figure shows the co-authorship network connecting the top 25 collaborators of Karoline Kuchenbaecker. A scholar is included among the top collaborators of Karoline Kuchenbaecker 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 Karoline Kuchenbaecker. Karoline Kuchenbaecker 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
1.
Kuchenbaecker, Karoline, et al.. (2026). Ancestral diversity in complex disease genetics: from discovery to translation. Nature Reviews Genetics.
2.
Thu, Nguyễn Thị Hoài, Yoonsu Cho, Alona Sosinsky, et al.. (2025). Equity in cancer genomics in the UK: a cross-sectional analysis of a national cancer cohort. The Lancet Oncology. 26(7). 971–980. 1 indexed citations
3.
Adams, Mark J., Yixiang Jiang, C Tian, et al.. (2024). Polygenic prediction of major depressive disorder and related traits in African ancestries UK Biobank participants. Molecular Psychiatry. 30(1). 151–157. 2 indexed citations
4.
Levey, Daniel F., Olga Giannakopoulou, Joseph D. Deak, et al.. (2023). Genome-wide association studies and cross-population meta-analyses investigating short and long sleep duration. Nature Communications. 14(1). 6059–6059. 17 indexed citations
5.
Meng, Xiangrui, Olga Giannakopoulou, Daniel F. Levey, et al.. (2023). 17. ANCESTRY-AWARE MIXED MODEL GWAS OF MAJOR DEPRESSION CHARTS A PATH FOR INCLUSIVE AND DIVERSE GENETIC RESEARCH. European Neuropsychopharmacology. 75. S65–S66. 1 indexed citations
6.
Cooper, Claudia, Joseph Hayes, Andrew McQuillin, et al.. (2023). Investigating the association between schizophrenia and distance visual acuity: Mendelian randomisation study. BJPsych Open. 9(2). e33–e33. 2 indexed citations
7.
Wang, Baihan, Leun J. Otten, Katja Schulze, et al.. (2023). Is auditory processing measured by the N100 an endophenotype for psychosis? A family study and a meta-analysis. Psychological Medicine. 54(8). 1559–1572. 3 indexed citations
8.
Hodgson, Sam, Qin Qin Huang, Neneh Sallah, et al.. (2022). Integrating polygenic risk scores in the prediction of type 2 diabetes risk and subtypes in British Pakistanis and Bangladeshis: A population-based cohort study. PLoS Medicine. 19(5). e1003981–e1003981. 33 indexed citations
9.
Mueller, Stefanie H., et al.. (2022). Mendelian randomization analyses implicate biogenesis of translation machinery in human aging. Genome Research. 32(2). 258–265. 9 indexed citations
10.
Huang, Qin Qin, Neneh Sallah, Bhavi Trivedi, et al.. (2022). Transferability of genetic loci and polygenic scores for cardiometabolic traits in British Pakistani and Bangladeshi individuals. Nature Communications. 13(1). 4664–4664. 34 indexed citations
11.
Mukadam, Naaheed, Olga Giannakopoulou, Nicholas Bass, Karoline Kuchenbaecker, & Andrew McQuillin. (2022). Genetic risk scores and dementia risk across different ethnic groups in UK Biobank. PLoS ONE. 17(12). e0277378–e0277378. 6 indexed citations
12.
Fatumo, Segun, Tinashe Chikowore, Ananyo Choudhury, et al.. (2022). A roadmap to increase diversity in genomic studies. Nature Medicine. 28(2). 243–250. 276 indexed citations breakdown →
13.
Farmaki, Aliki‐Eleni, Victoria Garfield, Sophie V. Eastwood, et al.. (2021). Type 2 diabetes risks and determinants in second-generation migrants and mixed ethnicity people of South Asian and African Caribbean descent in the UK. Diabetologia. 65(1). 113–127. 14 indexed citations
14.
Bhat, Anjali, Haritz Irizar, Johan H. Thygesen, et al.. (2021). Transcriptome-wide association study reveals two genes that influence mismatch negativity. Cell Reports. 34(11). 108868–108868. 9 indexed citations
15.
Gilly, Arthur, Lorraine Southam, Dániel Süveges, et al.. (2018). Very low-depth whole-genome sequencing in complex trait association studies. Bioinformatics. 35(15). 2555–2561. 60 indexed citations
16.
Mamakou, Vasiliki, Sophie Hackinger, Eleni Zengini, et al.. (2018). Combination therapy as a potential risk factor for the development of type 2 diabetes in patients with schizophrenia: the GOMAP study. BMC Psychiatry. 18(1). 249–249. 4 indexed citations
17.
Prins, Bram P., Karoline Kuchenbaecker, Yanchun Bao, et al.. (2017). Genome-wide analysis of health-related biomarkers in the UK Household Longitudinal Study reveals novel associations. Scientific Reports. 7(1). 11008–11008. 67 indexed citations
18.
Swerdlow, Daniel I., Karoline Kuchenbaecker, Sonia Shah, et al.. (2016). Selecting instruments for Mendelian randomization in the wake of genome-wide association studies. International Journal of Epidemiology. 45(5). 1600–1616. 213 indexed citations
19.
Kuchenbaecker, Karoline, Jacques Simard, Kenneth Offit, et al.. (2016). Abstract 2598: Predicting breast and ovarian cancer risks for BRCA1 and BRCA2 mutation carriers using polygenic risk scores. Cancer Research. 76(14_Supplement). 2598–2598. 1 indexed citations
20.
Holmes, Michael V., Sonia Shah, Aspasia Angelakopoulou, et al.. (2009). Complex disease genetics: present and future translational applications. Genome Medicine. 1(11). 104–104. 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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