Emil Uffelmann

3.0k total citations · 1 hit paper
6 papers, 880 citations indexed

About

Emil Uffelmann is a scholar working on Genetics, Molecular Biology and Physiology. According to data from OpenAlex, Emil Uffelmann has authored 6 papers receiving a total of 880 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 3 papers in Molecular Biology and 1 paper in Physiology. Recurrent topics in Emil Uffelmann's work include Genetic Associations and Epidemiology (5 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers) and Genetic and phenotypic traits in livestock (2 papers). Emil Uffelmann is often cited by papers focused on Genetic Associations and Epidemiology (5 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers) and Genetic and phenotypic traits in livestock (2 papers). Emil Uffelmann collaborates with scholars based in Netherlands, United States and United Kingdom. Emil Uffelmann's co-authors include Daniëlle Posthuma, Yukinori Okada, Jantina de Vries, Tuuli Lappalainen, Alicia R. Martin, Hilary C. Martin, Qin Qin Huang, Nchangwi Syntia Munung, Alexey Shadrin and Ole A. Andreassen and has published in prestigious journals such as Nature Communications, Biological Psychiatry and Neurobiology of Disease.

In The Last Decade

Emil Uffelmann

4 papers receiving 862 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.

Genome-wide association studies

2021 825 citations Emil Uffelmann, Qin Qin Huang et al. Nature Reviews Methods Primers profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Emil Uffelmann Netherlands	3	421	305	129	54	46	6	880
Qin Qin Huang United Kingdom	8	524 1.2×	383 1.3×	132 1.0×	67 1.2×	64 1.4×	9	1.1k
Qing Lu United States	18	535 1.3×	350 1.1×	83 0.6×	58 1.1×	48 1.0×	107	1.1k
Xiaoyi Gao United States	10	666 1.6×	300 1.0×	234 1.8×	47 0.9×	76 1.7×	17	1.2k
Joelle Mbatchou United States	5	315 0.7×	171 0.6×	160 1.2×	42 0.8×	23 0.5×	10	693
Nikunj Patel United States	8	552 1.3×	499 1.6×	110 0.9×	113 2.1×	88 1.9×	14	1.5k
Eliana Hechter United States	6	1.0k 2.5×	574 1.9×	104 0.8×	70 1.3×	65 1.4×	6	1.5k
Nicholas A. Furlotte United States	15	993 2.4×	597 2.0×	174 1.3×	93 1.7×	83 1.8×	23	1.5k
Francisco M. De La Vega United States	14	437 1.0×	401 1.3×	73 0.6×	31 0.6×	51 1.1×	21	828
Luke R. Lloyd‐Jones Australia	15	903 2.1×	472 1.5×	52 0.4×	67 1.2×	105 2.3×	33	1.4k
Matthew T. Oetjens United States	14	466 1.1×	285 0.9×	35 0.3×	22 0.4×	38 0.8×	30	869

Countries citing papers authored by Emil Uffelmann

Since Specialization

Citations

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

Fields of papers citing papers by Emil Uffelmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emil Uffelmann

This figure shows the co-authorship network connecting the top 25 collaborators of Emil Uffelmann. A scholar is included among the top collaborators of Emil Uffelmann 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 Emil Uffelmann. Emil Uffelmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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6 of 6 papers shown

1.

Uffelmann, Emil, et al.. (2025). 32. ESTIMATING DISORDER PROBABILITY IN DIVERSE ANCESTRAL BACKGROUNDS BASED ON POLYGENIC PREDICTION USING BAYESIAN POLYGENIC SCORE PROBABILITY CONVERSION X. European Neuropsychopharmacology. 99. 69–70.

2.

Uffelmann, Emil, Cathryn M. Lewis, Andrew M. McIntosh, et al.. (2025). Estimating disorder probability based on polygenic prediction using the BPC approach. Nature Communications. 16(1). 8443–8443. 1 indexed citations

3.

Uffelmann, Emil, et al.. (2025). Local genetic sex differences in quantitative traits. Nature Communications. 16(1). 7232–7232.

4.

Shadrin, Alexey, Piotr Jahołkowski, Shahram Bahrami, et al.. (2023). Shared genetic loci between Alzheimer's disease and multiple sclerosis: Crossroads between neurodegeneration and immune system. Neurobiology of Disease. 183. 106174–106174. 14 indexed citations

5.

Uffelmann, Emil, Qin Qin Huang, Nchangwi Syntia Munung, et al.. (2021). Genome-wide association studies. Nature Reviews Methods Primers. 1(1). 825 indexed citations breakdown →

6.

Uffelmann, Emil & Daniëlle Posthuma. (2020). Emerging Methods and Resources for Biological Interrogation of Neuropsychiatric Polygenic Signal. Biological Psychiatry. 89(1). 41–53. 40 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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