Jorgen Engmann

7.3k total citations · 1 hit paper
10 papers, 673 citations indexed

About

Jorgen Engmann is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Jorgen Engmann has authored 10 papers receiving a total of 673 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Genetics. Recurrent topics in Jorgen Engmann's work include Genetic Associations and Epidemiology (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Diet, Metabolism, and Disease (2 papers). Jorgen Engmann is often cited by papers focused on Genetic Associations and Epidemiology (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Diet, Metabolism, and Disease (2 papers). Jorgen Engmann collaborates with scholars based in United Kingdom, Netherlands and United States. Jorgen Engmann's co-authors include Aroon D. Hingorani, Tina Shah, Juan P. Casas, Ryan Kelley, John P. Overington, Rita Santos, Anna Gaulton, Luana Galver, Chris Finan and R Thomas Lumbers and has published in prestigious journals such as SHILAP Revista de lepidopterología, Diabetes and The American Journal of Human Genetics.

In The Last Decade

Jorgen Engmann

9 papers receiving 665 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.

The druggable genome and support for target identification and validation in drug development

2017 494 citations Chris Finan, Anna Gaulton et al. Science Translational Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jorgen Engmann United Kingdom	6	323	177	91	73	67	10	673
Magdalena Zwierzyna United Kingdom	8	176 0.5×	144 0.8×	49 0.5×	60 0.8×	44 0.7×	11	522
Ming Ta Michael Lee United States	15	327 1.0×	233 1.3×	51 0.6×	39 0.5×	99 1.5×	33	1.0k
Shashi Amur United States	17	221 0.7×	83 0.5×	78 0.9×	80 1.1×	26 0.4×	25	999
Jon Hill United States	10	315 1.0×	59 0.3×	70 0.8×	38 0.5×	51 0.8×	14	585
Muhammad Arif Sweden	22	516 1.6×	94 0.5×	136 1.5×	42 0.6×	54 0.8×	65	1.0k
Alok Jaiswal Finland	13	344 1.1×	56 0.3×	79 0.9×	67 0.9×	44 0.7×	30	622
Olga Bushueva Russia	19	300 0.9×	86 0.5×	74 0.8×	21 0.3×	97 1.4×	76	716
Pallav Bhatnagar United States	14	207 0.6×	212 1.2×	179 2.0×	32 0.4×	59 0.9×	28	1.2k
Limin Duan China	15	366 1.1×	117 0.7×	83 0.9×	21 0.3×	130 1.9×	36	1.1k
Lisa A. Bastarache United States	9	309 1.0×	461 2.6×	120 1.3×	17 0.2×	38 0.6×	11	954

Countries citing papers authored by Jorgen Engmann

Since Specialization

Citations

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

Fields of papers citing papers by Jorgen Engmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jorgen Engmann

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

All Works

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10 of 10 papers shown

1.

Yun, Taedong, Jacqueline Baras Shreibati, Dongbing Lai, et al.. (2025). Applying multimodal AI to physiological waveforms improves genetic prediction of cardiovascular traits. The American Journal of Human Genetics. 112(7). 1562–1579.

2.

Gordillo‐Marañón, María, Amand F. Schmidt, Alasdair Warwick, et al.. (2024). Disease coverage of human genome-wide association studies and pharmaceutical research and development. SHILAP Revista de lepidopterología. 4(1). 195–195. 4 indexed citations

3.

Kivimäki, Mika, Jackie F. Price, Andrew Wong, et al.. (2023). Triangulating evidence from observational and Mendelian randomization studies of ketone bodies for cognitive performance. BMC Medicine. 21(1). 340–340. 5 indexed citations

4.

Knight, Hannah, Sarah R Deeny, Jorgen Engmann, et al.. (2021). Challenging racism in the use of health data. The Lancet Digital Health. 3(3). e144–e146. 30 indexed citations

5.

Wannamethee, S. Goya, Jorgen Engmann, Tom R. Gaunt, et al.. (2020). Establishing reference intervals for triglyceride-containing lipoprotein subfraction metabolites measured using nuclear magnetic resonance spectroscopy in a UK population. Annals of Clinical Biochemistry International Journal of Laboratory Medicine. 58(1). 47–53. 3 indexed citations

6.

George, Marc J., Ola Kleveland, Jorge García‐Hernández, et al.. (2020). Novel Insights Into the Effects of Interleukin 6 Antagonism in Non–ST‐Segment–Elevation Myocardial Infarction Employing the SOMAscan Proteomics Platform. Journal of the American Heart Association. 9(12). e015628–e015628. 17 indexed citations

7.

Wannamethee, S. Goya, Jorgen Engmann, Tom R. Gaunt, et al.. (2020). Triglyceride-containing lipoprotein sub-fractions and risk of coronary heart disease and stroke: A prospective analysis in 11,560 adults. European Journal of Preventive Cardiology. 27(15). 1617–1626. 20 indexed citations

8.

Borges, Maria Carolina, Aroon D. Hingorani, Jorgen Engmann, et al.. (2019). Liver Function and Risk of Type 2 Diabetes: Bidirectional Mendelian Randomization Study. Diabetes. 68(8). 1681–1691. 87 indexed citations

9.

Finan, Chris, Anna Gaulton, Felix Krüger, et al.. (2017). The druggable genome and support for target identification and validation in drug development. Science Translational Medicine. 9(383). 494 indexed citations breakdown →

10.

Maiden, Neil, et al.. (2011). Exploring the impact of software requirements on system-wide goals: a method using satisfaction arguments and i* goal modelling. Requirements Engineering. 17(3). 227–254. 13 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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