Jorgen Engmann
Impact in
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- Genetic Associations and Epidemiology
Papers in
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- Bioinformatics and Genomic Networks 2
- Signaling Pathways in Disease 1
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- Diabetes, Cardiovascular Risks, and Lipoproteins 2
- Diet, Metabolism, and Disease 2
- Co-authors
- Aroon D. Hingorani (7 shared papers)Tina Shah (5 shared papers)Juan P. Casas (4 shared papers)Anneli Karlsson (1 shared paper)Felix Krüger (1 shared paper)John P. Overington (1 shared paper)Anna Gaulton (1 shared paper)Luana Galver (1 shared paper)
- Journals
- The American Journal of Human Genetics (1 paper)Science Translational Medicine (1 paper)Diabetes (1 paper)Requirements Engineering (1 paper)The Lancet Digital Health (1 paper)
- Partner nations
- United KingdomNetherlandsUnited States
In The Last Decade
Jorgen Engmann
9 papers receiving 665 citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Genetics 177
- Aging 9
- Molecular Biology 323
- Computational Theory and Mathematics 73
- Endocrinology, Diabetes and Metabolism 67
Countries citing papers authored by Jorgen Engmann
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
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-authors
The 25 scholars most cited alongside Jorgen Engmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The druggable genome and support for target identification and validation in drug development Hit paper breakdown → | 2017 | 494 |
| 2 | 2019 | 87 | |
| 3 | 2021 | 30 | |
| 4 | 2020 | 20 | |
| 5 | 2020 | 17 | |
| 6 | 2011 | 13 | |
| 7 | 2023 | 5 | |
| 8 | 2024 | 4 | |
| 9 | 2020 | 3 | |
| 10 | 2025 | 0 |
About Jorgen Engmann
Jorgen Engmann is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics, Surgery and Cardiology and Cardiovascular Medicine, having authored 10 papers that have together received 673 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Diet, Metabolism, and Disease (2 papers), Lipoproteins and Cardiovascular Health (2 papers), Bioinformatics and Genomic Networks (2 papers), Cardiovascular Health and Risk Factors (1 paper), Signaling Pathways in Disease (1 paper) and Atherosclerosis and Cardiovascular Diseases (1 paper). The work is most often cited by research in Genetics (177 citations), Aging (9 citations), Molecular Biology (323 citations), Computational Theory and Mathematics (73 citations) and Endocrinology, Diabetes and Metabolism (67 citations). Jorgen Engmann has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Aroon D. Hingorani, Tina Shah, Juan P. Casas, Anneli Karlsson, Felix Krüger, John P. Overington, Anna Gaulton, Luana Galver, Ryan Kelley and Rita Santos. Their work appears in journals such as The American Journal of Human Genetics, Science Translational Medicine, Diabetes, Requirements Engineering and The Lancet Digital Health.
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.