Thore Buergel

487 total citations
3 papers, 33 citations indexed

About

Thore Buergel is a scholar working on Genetics, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Thore Buergel has authored 3 papers receiving a total of 33 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Genetics, 1 paper in Molecular Biology and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in Thore Buergel's work include Genetic Associations and Epidemiology (2 papers), Machine Learning in Healthcare (1 paper) and Chronic Disease Management Strategies (1 paper). Thore Buergel is often cited by papers focused on Genetic Associations and Epidemiology (2 papers), Machine Learning in Healthcare (1 paper) and Chronic Disease Management Strategies (1 paper). Thore Buergel collaborates with scholars based in Germany, United Kingdom and United States. Thore Buergel's co-authors include Jakob Steinfeldt, Ulf Landmesser, Julius Upmeier zu Belzen, John Deanfield, Noah Hollmann, Roland Eils, Brian A. Ference, Benjamin Wild, Claudia Langenberg and Maik Pietzner and has published in prestigious journals such as Nature Communications, The Lancet Digital Health and Zenodo (CERN European Organization for Nuclear Research).

In The Last Decade

Thore Buergel

3 papers receiving 33 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thore Buergel Germany 2 10 9 8 6 5 3 33
Jakob Steinfeldt Germany 3 11 1.1× 12 1.3× 8 1.0× 6 1.0× 7 1.4× 4 38
Chris Lunt United States 3 3 0.3× 19 2.1× 7 0.9× 3 0.5× 7 1.4× 8 42
Albert Oriol Spain 4 13 1.3× 8 0.9× 5 0.8× 7 1.4× 6 40
Charles Kooperberg United States 4 13 1.3× 5 0.6× 4 0.5× 1 0.2× 12 2.4× 8 47
Barbara Benoit United States 2 4 0.4× 20 2.2× 2 0.3× 1 0.2× 12 2.4× 2 61
Samuli Ripatti Finland 4 6 0.6× 34 3.8× 4 0.5× 24 4.8× 4 66
Maurine Tong United States 3 7 0.7× 8 0.9× 3 0.4× 6 1.2× 4 36
Nicoló Savioli United Kingdom 3 20 2.0× 6 0.7× 2 0.3× 1 0.2× 4 0.8× 4 33
Julián C. Riaño-Moreno Colombia 4 8 0.9× 3 0.4× 3 0.5× 3 0.6× 10 28
Inesse Boussaha France 4 14 1.4× 2 0.2× 2 0.3× 6 1.2× 8 35

Countries citing papers authored by Thore Buergel

Since Specialization
Citations

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

Fields of papers citing papers by Thore Buergel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thore Buergel

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

All Works

3 of 3 papers shown
1.
Steinfeldt, Jakob, Benjamin Wild, Thore Buergel, et al.. (2025). Medical history predicts phenome-wide disease onset and enables the rapid response to emerging health threats. Nature Communications. 16(1). 585–585. 3 indexed citations
2.
Steinfeldt, Jakob & Thore Buergel. (2022). Metabolomic profiles predict individual multi-disease outcomes. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
3.
Steinfeldt, Jakob, Thore Buergel, Julius Upmeier zu Belzen, et al.. (2022). Neural network-based integration of polygenic and clinical information: development and validation of a prediction model for 10-year risk of major adverse cardiac events in the UK Biobank cohort. The Lancet Digital Health. 4(2). e84–e94. 29 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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