Alexander Teumer

93.4k total citations · 1 hit paper
107 papers, 2.6k citations indexed

About

Alexander Teumer is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Alexander Teumer has authored 107 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Genetics, 37 papers in Endocrinology, Diabetes and Metabolism and 25 papers in Molecular Biology. Recurrent topics in Alexander Teumer's work include Genetic Associations and Epidemiology (39 papers), Thyroid Disorders and Treatments (21 papers) and Growth Hormone and Insulin-like Growth Factors (13 papers). Alexander Teumer is often cited by papers focused on Genetic Associations and Epidemiology (39 papers), Thyroid Disorders and Treatments (21 papers) and Growth Hormone and Insulin-like Growth Factors (13 papers). Alexander Teumer collaborates with scholars based in Germany, United States and Netherlands. Alexander Teumer's co-authors include Henry Völzke, Matthias Nauck, Hans J. Grabe, Georg Homuth, Uwe Völker, Reiner Biffar, Marco Medici, Aleksander Kuś, Robin P. Peeters and Christian Schwahn and has published in prestigious journals such as Circulation, Nature Communications and Bioinformatics.

In The Last Decade

Alexander Teumer

101 papers receiving 2.6k 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.

Association of Telomere Length With Risk of Disease and Mortality

2022 123 citations Alexander Teumer et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alexander Teumer Germany	31	625	613	554	313	252	107	2.6k
Cathy E. Elks United Kingdom	17	455 0.7×	727 1.2×	383 0.7×	460 1.5×	110 0.4×	26	2.6k
Daria Salyakina United States	24	557 0.9×	445 0.7×	218 0.4×	171 0.5×	169 0.7×	55	2.2k
Christina Kanaka‐Gantenbein Greece	37	837 1.3×	697 1.1×	944 1.7×	565 1.8×	154 0.6×	188	4.0k
Ursula Turpeinen Finland	33	798 1.3×	506 0.8×	879 1.6×	494 1.6×	69 0.3×	119	3.6k
Arieh S. Cohen Denmark	32	687 1.1×	499 0.8×	354 0.6×	249 0.8×	147 0.6×	103	3.4k
Francesco Sessa Italy	33	489 0.8×	264 0.4×	347 0.6×	388 1.2×	212 0.8×	135	3.0k
Fernando M. Reis Brazil	42	1.1k 1.7×	403 0.7×	620 1.1×	284 0.9×	111 0.4×	253	6.2k
Stephanie T. Chung United States	26	549 0.9×	210 0.3×	554 1.0×	416 1.3×	88 0.3×	78	1.9k
Eef G.W.M. Lentjes Netherlands	34	507 0.8×	172 0.3×	630 1.1×	224 0.7×	200 0.8×	101	3.7k
Haidong Zhu United States	33	859 1.4×	423 0.7×	460 0.8×	927 3.0×	116 0.5×	113	3.4k

Countries citing papers authored by Alexander Teumer

Since Specialization

Citations

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

Fields of papers citing papers by Alexander Teumer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Teumer

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

Fuchsberger, Christian, Sahar Ghasemi, Uwe Völker, et al.. (2025). Removing array-specific batch effects in GWAS mega-analyses by applying a two-step imputation workflow. Bioinformatics Advances. 6(1). vbaf317–vbaf317.

Chlabicz, Małgorzata, Zofia Stachurska, Jacek Jamiołkowski, et al.. (2024). Cardiovascular risk and preclinical atherosclerosis are associated with white matter hyperintensities in apparently healthy adults: the population-based cross-sectional study BIALYSTOK PLUS. Polskie Archiwum Medycyny Wewnętrznej. 134(9).

Kuś, Aleksander, Rosalie Sterenborg, Eirin B. Haug, et al.. (2024). Towards Personalized TSH Reference Ranges: A Genetic and Population-Based Approach in Three Independent Cohorts. Thyroid. 34(8). 969–979. 1 indexed citations

Fujii, Ryosuke, Roberto Melotti, Anna Köttgen, et al.. (2024). Integrating multiple kidney function markers to predict all-cause and cardiovascular disease mortality: prospective analysis of 366 758 UK Biobank participants. Clinical Kidney Journal. 17(8). sfae207–sfae207. 3 indexed citations

Hung, Rachel, Ricardo Costeira, Junyu Chen, et al.. (2024). Epigenetic associations with kidney disease in individuals of African ancestry with APOL1 high-risk genotypes and HIV. Nephrology Dialysis Transplantation. 40(5). 997–1006. 1 indexed citations

Sterenborg, Rosalie, Oleg Borisov, Yurong Cheng, et al.. (2024). New insights into the hypothalamic–pituitary–thyroid axis: a transcriptome- and proteome-wide association study. European Thyroid Journal. 13(3).

Wuttke, Matthias, Holger Kirsten, Alexander Teumer, et al.. (2023). Imputation-powered whole-exome analysis identifies genes associated with kidney function and disease in the UK Biobank. Nature Communications. 14(1). 1287–1287. 11 indexed citations

Kjærgaard, Alisa D., Jesse C. Krakauer, Nir Y. Krakauer, et al.. (2023). Allometric body shape indices, type 2 diabetes and kidney function: A two‐sample Mendelian randomization study. Diabetes Obesity and Metabolism. 25(7). 1803–1812. 3 indexed citations

Ittermann, Till, Marcello Ricardo Paulista Markus, Marcus Dörr, et al.. (2023). High Thyroid-Stimulating Hormone and Low Free Triiodothyronine Levels Are Associated with Chronic Kidney Disease in Three Population-Based Studies from Germany. Journal of Clinical Medicine. 12(17). 5763–5763. 4 indexed citations

10.

Becker, Ann‐Kristin, Till Ittermann, Marcus Dörr, et al.. (2022). Analysis of epidemiological association patterns of serum thyrotropin by combining random forests and Bayesian networks. PLoS ONE. 17(7). e0271610–e0271610. 1 indexed citations

11.

Mücke, Victoria T., Janett Fischer, Marcus M. Mücke, et al.. (2022). Association of Alpha-1 Antitrypsin Pi*Z Allele Frequency and Progressive Liver Fibrosis in Two Chronic Hepatitis C Cohorts. Journal of Clinical Medicine. 12(1). 253–253. 3 indexed citations

12.

Sterenborg, Rosalie, Tessel E. Galesloot, Alexander Teumer, et al.. (2022). The Effects of Common Genetic Variation in 96 Genes Involved in Thyroid Hormone Regulation on TSH and FT4 Concentrations. The Journal of Clinical Endocrinology & Metabolism. 107(6). e2276–e2283. 6 indexed citations

13.

Frenzel, Stefan, Alexander Teumer, Katharina Wittfeld, et al.. (2022). TREML2 Gene Expression and Its Missense Variant rs3747742 Associate with White Matter Hyperintensity Volume and Alzheimer’s Disease-Related Brain Atrophy in the General Population. International Journal of Molecular Sciences. 23(22). 13764–13764. 4 indexed citations

14.

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

15.

Ghasemi, Sahar, Alexander Teumer, Matthias Wuttke, & Tim Becker. (2021). Assessment of significance of conditionally independent GWAS signals. Bioinformatics. 37(20). 3521–3529. 3 indexed citations

16.

Baumeister, Sebastian‐Edgar, Michael F. Leitzmann, Martin Bahls, et al.. (2020). Physical Activity Does Not Lower the Risk of Lung Cancer. Cancer Research. 80(17). 3765–3769. 12 indexed citations

17.

Yu, Zhi, Josef Coresh, Guanghao Qi, et al.. (2020). A bidirectional Mendelian randomization study supports causal effects of kidney function on blood pressure. Kidney International. 98(3). 708–716. 81 indexed citations

18.

Li, Shuo, Galit Weinstein, Habil Zare, et al.. (2020). The genetics of circulating BDNF: towards understanding the role of BDNF in brain structure and function in middle and old ages. Brain Communications. 2(2). fcaa176–fcaa176. 16 indexed citations

19.

Marouli, Eirini, Aleksander Kuś, Fabiola Del Greco M, et al.. (2020). Thyroid Function Affects the Risk of Stroke via Atrial Fibrillation: A Mendelian Randomization Study. The Journal of Clinical Endocrinology & Metabolism. 105(8). 2634–2641. 40 indexed citations

20.

Klinger-König, Johanna, Johannes Hertel, Sandra Van der Auwera, et al.. (2019). Methylation of the FKBP5 gene in association with FKBP5 genotypes, childhood maltreatment and depression. Neuropsychopharmacology. 44(5). 930–938. 60 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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